Source: https://ailoot.ai/models/en/gemini-3-1-pro-preview/
Canonical: https://ailoot.ai/models/en/gemini-3-1-pro-preview/
Language: en

# Google: Gemini 3.1 Pro Preview

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## [Google: Gemini 3.1 Pro Preview](https://ailoot.ai/models/en/gemini-3-1-pro-preview/)

Gemini 3.1 Pro Preview is Google’s multimodal reasoning model for complex software, algorithm and knowledge tasks. It accepts text, images, audio, video and PDF and returns text or code, with tools and structured output. Low, medium and high reasoning levels guide effort; high is the documented default.

- [**Ailoot · Anthropic Messages** `POST /v1/messages` `gemini-3.1-pro-preview`](https://ailoot.ai/models/en/gemini-3-1-pro-preview/#method-0)
- [**Ailoot · Gemini generateContent** `POST /v1beta/models/{model}:generateContent` `gemini-3.1-pro-preview`](https://ailoot.ai/models/en/gemini-3-1-pro-preview/#method-1)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `gemini-3.1-pro-preview`](https://ailoot.ai/models/en/gemini-3-1-pro-preview/#method-2)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `gemini-3.1-pro-preview`](https://ailoot.ai/models/en/gemini-3-1-pro-preview/#method-3)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/gemini-3-1-pro-preview/#method-4)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/gemini-3-1-pro-preview/#method-5)

About the model

This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.

Gemini 3.1 Pro Preview is Google’s reasoning-oriented text model for complex tasks that need software engineering, algorithmic development or synthesis of multimodal evidence. It builds on Gemini 3 Pro, emphasizing precise tool use, more efficient reasoning and reliable multi-step execution. Text, images, audio, video and PDF can contribute to a written answer, a code artifact or a structured result.

For a demanding coding assignment, provide the goal, relevant repository material, observed behaviour and the constraints to retain. Entire code repositories can supply context for the assignment. For a code-contract review, ask the model to compare two modules’ handling of a shared data contract, identify the mismatch and propose a focused correction with supporting code references. The useful output distinguishes the analysis, proposed revision and evidence from any validation performed by the connected application.

The launch material demonstrates code-based visual explanations and interactive projects, including animated SVG output from a text brief. These are code artifacts rather than raster-image generation. A clear brief can define what should be explained, how the visual should behave and the data it should represent. Review the resulting code and rendering against those requirements. For a data-synthesis task, supply the actual sources and ask for one view that preserves the relationships and qualifications found in them.

The documented thinking levels are low, medium and high, with high as the default for 3.1 Pro Preview. Thinking cannot be fully disabled in this Pro profile. Choose lower effort for a bounded answer and more reasoning for difficult multi-step work, while leaving sufficient output allowance for the final artifact. A small output cap can interrupt reasoning before a usable final answer appears. The thinking guide separates a summary of reasoning from the full internal process and explains why the conversation’s thought-signature context matters.

The exact Preview table lists function calling, code execution, search grounding, Maps grounding, URL context and structured outputs. It scopes File Search to AI Studio. Provide function purposes and parameter definitions and continue from the real returned result. The separate Custom Tools Preview profile is optimized to prioritize custom tools and bash; it is a distinct named producer endpoint, so that specialization should not be silently treated as a property of every 3.1 Pro request. Select a structured result schema when a task needs defined records instead of unrestricted prose.

For multimodal analysis, identify the relevant page, visual, recording interval or video event. For document analysis, compare a diagram with its written specification and return each discrepancy with its supporting passage. A spoken source can contribute a transcript or an interpretation in text. Preserve source references for the conclusions that need checking, and separate what is visible or stated from what is inferred. This profile’s output remains text, including code; native image or speech generation is not part of its exact capability table.

The native 3.1 Pro card specifies up to 1M context and 64K text output, and the exact Preview API table gives 1,048,576 input tokens and 65,536 output tokens. Include instructions, conversation history and media in the input budget. Caching and batch processing are documented, with Flex and Priority options also listed for the producer profile. For several independent items, define the required output and retain each source identifier rather than combining unrelated evidence into one untraceable answer.

The named Preview edition remains distinct from Pro’s Custom Tools profile and subsequent Flash or Pro releases. Its strengths concern complex reasoning, coding and evidence synthesis; the final artifact still needs checking against the source and the actual tool results. Retain unresolved ambiguity when the supplied information does not support a definite conclusion. A useful deliverable is the supported answer, code or record the task requested, with enough evidence to assess its practical limits.

Practical task

### Review a cross-module date contract

Technical example in English

```
Review a cross-module date contract

Review this contract mismatch. Producer emits {due_date: "2026-11-03"}; consumer reads record.dueDate and displays "No date" when missing. Existing stored records use due_date. Propose the smallest compatible correction and tests for both present and absent dates. Preserve the producer field and do not add a second stored field.
```

#### Expected result

```
A short mismatch analysis, a focused consumer patch and tests covering the stored field and missing-value behavior.
```

#### Check the result

```
Check that the patch reads due_date without changing persisted records or treating an absent date as a valid one.
```

**Ailoot · Anthropic Messages** `POST /v1/messages` `gemini-3.1-pro-preview`

[`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview&fmt=messages)

Google /`gemini-3.1-pro-preview`

### Overview

Gemini 3.1 Pro Preview is Google’s multimodal reasoning model for complex software, algorithm and knowledge tasks. It accepts text, images, audio, video and PDF and returns text or code, with tools and structured output. Low, medium and high reasoning levels guide effort; high is the documented default.

Accepted inputs

Text · Images

Results

Text

### Available in Ailoot · inputs & methods

**Ailoot · Anthropic Messages** `POST /v1/messages`

Input types

`text`, `image`

Output types

`text`

Context

1,048,576 tokens

Maximum output

65,536 tokens

Output format

json or SSE

| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gemini-3.1-pro-preview | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits user, assistant | Default— |
| Field`messages[].content` | Type`string\|content_block[]` | RequirementRequired | Values & limits | Default— |
| Field`system` | Type`string\|content_block[]` | RequirementOptional | Values & limits | Default— |
| Field`max_tokens` | Type`integer` | RequirementRequired | Values & limits Minimum: 1 Limit applies to: exact selected model/card ceiling | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`stop_sequences` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].name` | Type`string` | RequirementOptional | Values & limits Applies when: tool supplied | Default— |
| Field`tools[].description` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`tools[].input_schema` | Type`JSON_schema` | RequirementOptional | Values & limits | Default— |
| Field`tool_choice` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`thinking.type` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`thinking.budget_tokens` | Type`integer` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`output_config.effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`metadata` | Type`object` | RequirementOptional | Values & limits | Default— |
| Field`cache_control` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |

Input material combinations

**Text** · UTF8 text

`messages[].content or type=text block`

**Text + image**

`{type:image,source:{type:base64,media_type,data}} or source type=url`

Method parameters and lifecycle

| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext, image |
| Parameter`required` | Contractmodel, messages, max\_tokens |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | Contractactual UTF-8 content inserted as text; file IDs/URLs need separate exact support |

Lifecycle: `exact retained published method`

Method shapes and IDs are exact; supplier capability is separate from admission.

### Pricing

#### Ailoot method rates

Input

$0.002 */ 1K*

Output

$0.012 */ 1K*

Cache read

$0.0002 */ 1K*

#### Prices by request length · Anthropic Messages

| Request size, tokens | Input | Output | Cache read | Cache write | 5 min cache | 1 hour cache |
| --- | --- | --- | --- | --- | --- | --- |
| Request size, tokens(0; 200,000\] | Input$0.002 | Output$0.012 | Cache read$0.0002 | Cache writeBase: — | 5 min cacheBase: — | 1 hour cacheBase: — |
| Request size, tokens(200,000; ∞) | Input$0.004 | Output$0.018 | Cache read$0.0004 | Cache writeBase: — | 5 min cacheBase: — | 1 hour cacheBase: — |

Rates in USD per 1K tokens. If no rate is set, the base rate for this method is inherited; «—» means no base rate is set.

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)

#### Reference tariff details

Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.

Model reference schedules

#### Prices by configuration

Match each charge to the conditions shown. Use one rate for each set of alternative configurations.

| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationOpenAI Chat · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens Output · Reasoning output tokens **$0.024** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including200,000 | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 2 | Rate schedule— | Context tokens, more than200,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.008** / 1K tokens Output · Output tokens **$0.036** / 1K tokens Input · Cache read **$0.0008** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens Output · Reasoning output tokens **$0.024** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including200,000 | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 2 | Rate schedule— | Context tokens, more than200,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.008** / 1K tokens Output · Output tokens **$0.036** / 1K tokens Input · Cache read **$0.0008** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |

### Example requests

#### Ailoot · Anthropic Messages

Text exampleImage inputPython SDKNode.js SDKPython stream

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gemini-3.1-pro-preview", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gemini-3.1-pro-preview", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```python
import anthropic
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
    model="gemini-3.1-pro-preview",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(msg.to_dict(mode="json"))
```

```js
import Anthropic from "@anthropic-ai/sdk";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
  model: "gemini-3.1-pro-preview",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(msg);
```

```python
import anthropic,os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.messages.stream(model='gemini-3.1-pro-preview',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_message()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Receive and save results

#### Ailoot · Anthropic Messages

json or SSE

##### Keep all completed results

Keep every complete returned response, file and content part.

Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output.

##### If the original response needs checking

Keep request/response IDs and headers. No generic text job retrieval URL is supplied.

Response fields

| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`model` | Typestring |
| Field`content[]` | Typetext\|thinking\|tool\_use\|other content block |
| Field`stop_reason` | Typestring\|null |
| Field`usage` | Typeobject |

Errors and next steps

| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |

### Aliases

#### Model aliases

<strong>Ailoot</strong> [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview&fmt=messages)
**Ailoot Ultra** [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview&fmt=messages), [`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview&fmt=messages)
[`~google/gemini-pro-latest`](https://ailoot.ai/models/en/#m=~google%2Fgemini-pro-latest)

#### Method path aliases

`/chat/completions`

#### Related caller IDs

[`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview&fmt=messages), [`~google/gemini-pro-latest`](https://ailoot.ai/models/en/#m=~google%2Fgemini-pro-latest), [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview&fmt=messages), [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview&fmt=messages)

**Ailoot · Gemini generateContent** `POST /v1beta/models/{model}:generateContent` `gemini-3.1-pro-preview`

[`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview&fmt=gemini)

Google /`gemini-3.1-pro-preview`

### Overview

Gemini 3.1 Pro Preview is Google’s multimodal reasoning model for complex software, algorithm and knowledge tasks. It accepts text, images, audio, video and PDF and returns text or code, with tools and structured output. Low, medium and high reasoning levels guide effort; high is the documented default.

Accepted inputs

Text · Images

Results

Text

### Available in Ailoot · inputs & methods

**Ailoot · Gemini generateContent** `POST /v1beta/models/{model}:generateContent`

Input types

`text`, `image`

Output types

`text`

Context

1,048,576 tokens

Maximum output

65,536 tokens

Output format

json or supported streaming

| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`path.model` | Type`string` | RequirementRequired | Values & limits gemini-3.1-pro-preview | Default— |
| Field`contents` | Type`content[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`contents[].role` | Type`string` | RequirementOptional | Values & limits user, model | Default— |
| Field`contents[].parts` | Type`part[]` | RequirementRequired | Values & limits | Default— |
| Field`systemInstruction` | Type`content` | RequirementOptional | Values & limits | Default— |
| Field`generationConfig.maxOutputTokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`generationConfig.temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`generationConfig.topP` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`generationConfig.topK` | Type`integer` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`generationConfig.stopSequences` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`generationConfig.thinkingConfig.includeThoughts` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`generationConfig.thinkingConfig.thinkingBudget` | Type`integer` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].functionDeclarations` | Type`function_declaration[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`toolConfig.functionCallingConfig.mode` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`safetySettings` | Type`object[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`sessionId` | Type`string` | RequirementOptional | Values & limits | Default— |

Input material combinations

**Text** · UTF8 text

`contents[].parts[].text`

**Text + image**

`parts[].inlineData={mimeType,data}`

Method parameters and lifecycle

| Parameter | Contract |
| --- | --- |
| Parameter`material_types` | Contracttext, image |
| Parameter`required` | Contractcontents |
| Parameter`optional_controls` | Contractnull |
| Parameter`content_type` | Contractapplication/json |
| Parameter`text_file_material` | Contractactual UTF-8 content inserted as text; file IDs/URLs need separate exact support |

Lifecycle: `exact retained published method`

Method shapes and IDs are exact; supplier capability is separate from admission.

### Pricing

#### Ailoot method rates

Input

$0.002 */ 1K*

Output

$0.012 */ 1K*

Cache read

$0.0002 */ 1K*

#### Prices by request length · Gemini generateContent

| Request size, tokens | Input | Output | Cache read | Cache write | 5 min cache | 1 hour cache |
| --- | --- | --- | --- | --- | --- | --- |
| Request size, tokens(0; 200,000\] | Input$0.002 | Output$0.012 | Cache read$0.0002 | Cache writeBase: — | 5 min cacheBase: — | 1 hour cacheBase: — |
| Request size, tokens(200,000; ∞) | Input$0.004 | Output$0.018 | Cache read$0.0004 | Cache writeBase: — | 5 min cacheBase: — | 1 hour cacheBase: — |

Rates in USD per 1K tokens. If no rate is set, the base rate for this method is inherited; «—» means no base rate is set.

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)

#### Reference tariff details

Model-level reference schedules do not change method selection, quotes or charges. Active charges use the selected Ailoot method rates.

Model reference schedules

#### Prices by configuration

Match each charge to the conditions shown. Use one rate for each set of alternative configurations.

| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationOpenAI Chat · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens Output · Reasoning output tokens **$0.024** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including200,000 | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationOpenAI Chat · Request-length tier 2 | Rate schedule— | Context tokens, more than200,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.008** / 1K tokens Output · Output tokens **$0.036** / 1K tokens Input · Cache read **$0.0008** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Base token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens Output · Reasoning output tokens **$0.024** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including200,000 | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationAnthropic Messages · Request-length tier 2 | Rate schedule— | Context tokens, more than200,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.008** / 1K tokens Output · Output tokens **$0.036** / 1K tokens Input · Cache read **$0.0008** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |

### Example requests

#### Ailoot · Gemini generateContent

Text exampleImage inputPython SDKNode.js SDKPython stream

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"contents": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["contents"]=[{"role":"user","parts":[{"text":"Summarize this material and quote supporting source passages.\n\n"+text}]}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1beta/models/gemini-3.1-pro-preview:generateContent \
  -H "x-goog-api-key: $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"contents": [{"role": "user", "parts": [{"text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["contents"][0]["parts"].append({"inlineData":{"mimeType":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1beta/models/gemini-3.1-pro-preview:generateContent \
  -H "x-goog-api-key: $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```

```python
from google import genai
from google.genai import types
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = genai.Client(
    api_key=os.environ["AILOOT_API_KEY"],
    http_options=types.HttpOptions(base_url="https://api.ailoot.ai"),
)
resp = client.models.generate_content(model="gemini-3.1-pro-preview", contents="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(resp.to_json_dict())
```

```js
import { GoogleGenAI } from "@google/genai";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const ai = new GoogleGenAI({ apiKey: process.env.AILOOT_API_KEY, httpOptions: { baseUrl: "https://api.ailoot.ai" } });
const resp = await ai.models.generateContent({ model: "gemini-3.1-pro-preview", contents: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(resp);
```

```python
from google import genai
from google.genai import types
import os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=genai.Client(api_key=os.environ["AILOOT_API_KEY"],http_options=types.HttpOptions(base_url="https://api.ailoot.ai"))
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

count=0
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
    for chunk in client.models.generate_content_stream(model='gemini-3.1-pro-preview',contents="Explain observations and hypotheses in three sentences."):
        payload=chunk.to_json_dict()
        log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
        save_result(payload,"stream-chunk-"+str(count))
        count+=1
```

### Receive and save results

#### Ailoot · Gemini generateContent

json or supported streaming

##### Keep all completed results

Keep every complete returned response, file and content part.

Keep all candidates and parts, including function calls, thought signatures and usage; assemble stream chunks in order.

##### If the original response needs checking

Keep request/response IDs and headers. No generic text job retrieval URL is supplied.

Response fields

| Field | Type |
| --- | --- |
| Field`responseId` | Typestring |
| Field`modelVersion` | Typestring |
| Field`candidates[].content.parts[]` | Typetext\|inlineData\|functionCall\|other part |
| Field`candidates[].finishReason` | Typestring |
| Field`usageMetadata` | Typeobject |

Errors and next steps

| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |

### Aliases

#### Model aliases

<strong>Ailoot</strong> [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview&fmt=gemini)
**Ailoot Ultra** [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview), [`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview)
[`~google/gemini-pro-latest`](https://ailoot.ai/models/en/#m=~google%2Fgemini-pro-latest)

#### Method path aliases

`/chat/completions`

#### Related caller IDs

[`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview), [`~google/gemini-pro-latest`](https://ailoot.ai/models/en/#m=~google%2Fgemini-pro-latest), [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview&fmt=gemini), [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview)

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `gemini-3.1-pro-preview`

[`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview&fmt=chat)

Google /`gemini-3.1-pro-preview`

Model ID

- `gemini-3.1-pro-preview`
- `google/gemini-3.1-pro-preview`

### Overview

Gemini 3.1 Pro Preview is Google’s multimodal reasoning model for complex software, algorithm and knowledge tasks. It accepts text, images, audio, video and PDF and returns text or code, with tools and structured output. Low, medium and high reasoning levels guide effort; high is the documented default.

Accepted inputs

Text

Results

Text

### Available in Ailoot · inputs & methods

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions`

Input types

`text`

Output types

`text`

Output format

json or SSE

| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gemini-3.1-pro-preview | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits Model-specific | Default— |
| Field`messages[].content` | Type`string` | RequirementOptional | Values & limits Applies when: Text conversation | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |

Input material combinations

**Text** · UTF8 text

`messages[].content`

Method parameters and lifecycle

| Parameter | Contract |
| --- | --- |
| Parameter`content_type` | Contractapplication/json |
| Parameter`required` | Contractmodel, messages |
| Parameter`material_types` | Contracttext |
| Parameter`messages` | Contractmessage array with role/content shape |
| Parameter`file_material` | Contractactual UTF-8 document inserted as literal text; no file ID inferred |
| Parameter`optional_controls` | Contractstream |
| Parameter`control_scope` | ContractText conversation; stream is a boolean and defaults to false. |
| Parameter`output_modalities` | Contracttext |
| Parameter`hosted_operations` | Contractfalse |
| Parameter`multimodal_input_binding` | Contractnull |

Method aliases: `/chat/completions`

Lifecycle: `synchronous_or_streamed`

Send exact model ID with messages.

Context length is not an output cap.

A text file may supply literal text; image/audio/file-object inputs need exact binding.

### Pricing

Tariff references do not add request options. Supported parameters are listed for the selected method.

Fast mode

Standard rate When fast mode is selected

Flex mode

Standard rate When flex mode is selected

Maximum reasoning effort

Standard rate When maximum reasoning effort uses the default adjustment

Reasoning effort · high

Standard rate When reasoning effort is high

Reasoning effort · low

Standard rate When reasoning effort is low

Reasoning effort · medium

Standard rate When reasoning effort is medium

Explicit cache pricing

Not enabled When explicit cache is requested

Reasoning output

Reasoning uses the listed subset rate within aggregate output; do not add those tokens twice. When output includes reasoning tokens

#### Ailoot rates

#### Prices by configuration

Match each charge to the conditions shown. Use one rate for each set of alternative configurations.

| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens Output · Reasoning output tokens **$0.024** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including200,000 | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than200,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.008** / 1K tokens Output · Output tokens **$0.036** / 1K tokens Input · Cache read **$0.0008** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)

### Example requests

#### Ailoot Ultra · OpenAI Chat

curlPython SDK

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model":"gemini-3.1-pro-preview","messages":[{"role":"user","content":"hello"}],"stream":false}')

Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
r=json.loads(Path("result.json").read_text())
for x in r.get("choices",[]):
    if x.get("message",{}).get("content"): print(x["message"]["content"])
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.chat.completions.create(model="gemini-3.1-pro-preview", messages=[{"role":"user","content":"hello"}], stream=False)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(result.to_dict(mode="json"))
```

### Receive and save results

#### Ailoot Ultra · OpenAI Chat

json or SSE

##### Keep all completed results

Keep every complete returned response, file and content part.

Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.

##### If the original response needs checking

Keep request/response IDs and headers. No generic text job retrieval URL is supplied.

Response fields

| Field | Type |
| --- | --- |
| Field`choices[].index` | Typeinteger |
| Field`choices[].message.content` | Typestring\|null |
| Field`choices[].message.tool_calls` | Typetool\_call\[\] |
| Field`choices[].message.reasoning_content` | Typestring |
| Field`choices[].message.reasoning_details` | Typeobject\|array |
| Field`choices[].finish_reason` | Typestring\|null |
| Field`usage` | Typeobject |

Errors and next steps

| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |

### Aliases

#### Model aliases

<strong>Ailoot</strong> [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview)
**Ailoot Ultra** [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview&fmt=chat), [`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview&fmt=chat)
[`~google/gemini-pro-latest`](https://ailoot.ai/models/en/#m=~google%2Fgemini-pro-latest)

#### Method path aliases

`/chat/completions`

#### Related caller IDs

[`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview&fmt=chat), [`~google/gemini-pro-latest`](https://ailoot.ai/models/en/#m=~google%2Fgemini-pro-latest), [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview), [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview&fmt=chat)

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `gemini-3.1-pro-preview`

[`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview&fmt=messages)

Google /`gemini-3.1-pro-preview`

Model ID

- `gemini-3.1-pro-preview`
- `google/gemini-3.1-pro-preview`

### Overview

Gemini 3.1 Pro Preview is Google’s multimodal reasoning model for complex software, algorithm and knowledge tasks. It accepts text, images, audio, video and PDF and returns text or code, with tools and structured output. Low, medium and high reasoning levels guide effort; high is the documented default.

Accepted inputs

Text

Results

json · sse

### Available in Ailoot · inputs & methods

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages`

Input types

`text`

Output types

`json`, `sse`

Output format

JSON or SSE

| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits gemini-3.1-pro-preview | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits user, assistant | Default— |
| Field`messages[].content` | Type`string` | RequirementRequired | Values & limits | Default— |
| Field`max_tokens` | Type`integer` | RequirementRequired | Values & limits | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |

Input material combinations

**Text** · UTF-8 text

`messages[].content string`

Method parameters and lifecycle

| Parameter | Contract |
| --- | --- |
| Parameter`content_type` | Contractapplication/json |
| Parameter`required` | Contractmodel, messages, max\_tokens |
| Parameter`optional_controls` | Contractstream |
| Parameter`material_types` | Contracttext |
| Parameter`text_file_material` | ContractRead the actual UTF-8 document and put its text in the indicated input or message content string. |

Lifecycle: `synchronous_or_streamed`

### Pricing

Tariff references do not add request options. Supported parameters are listed for the selected method.

Fast mode

Standard rate When fast mode is selected

Flex mode

Standard rate When flex mode is selected

Maximum reasoning effort

Standard rate When maximum reasoning effort uses the default adjustment

Reasoning effort · high

Standard rate When reasoning effort is high

Reasoning effort · low

Standard rate When reasoning effort is low

Reasoning effort · medium

Standard rate When reasoning effort is medium

Explicit cache pricing

Not enabled When explicit cache is requested

Reasoning output

Reasoning uses the listed subset rate within aggregate output; do not add those tokens twice. When output includes reasoning tokens

#### Ailoot rates

#### Prices by configuration

Match each charge to the conditions shown. Use one rate for each set of alternative configurations.

| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens Output · Reasoning output tokens **$0.024** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including200,000 | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than200,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.008** / 1K tokens Output · Output tokens **$0.036** / 1K tokens Input · Cache read **$0.0008** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)

### Example requests

#### Ailoot Ultra · Anthropic Messages

Complete minimal JSON bodycurl · use your UTF-8 documentPython · save the complete result

```json
{
  "model": "gemini-3.1-pro-preview",
  "max_tokens": 128,
  "messages": [
    {
      "role": "user",
      "content": "Summarize the incident report."
    }
  ],
  "stream": false
}
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path

source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
    raise SystemExit('Choose a document containing text')
payload = {'model': 'gemini-3.1-pro-preview', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path

result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```

```python
import json, os
from pathlib import Path

source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
    raise SystemExit('Choose a document containing text')
payload = {'model': 'gemini-3.1-pro-preview', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError

api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
    raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}
headers['x-api-key'] = api_key
request = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
    with urlopen(request, timeout=120) as response:
        raw = response.read()
        Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
    Path('result.json').write_bytes(error.read())
    Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
    raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path

result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```

### Receive and save results

#### Ailoot Ultra · Anthropic Messages

JSON or SSE

##### Keep all completed results

Keep every complete returned response, file and content part.

Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output.

##### If the original response needs checking

Keep request/response IDs and headers. No generic text job retrieval URL is supplied.

Response fields

| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`model` | Typestring |
| Field`content[]` | Typetext\|thinking\|tool\_use\|other content block |
| Field`stop_reason` | Typestring\|null |
| Field`usage` | Typeobject |

Errors and next steps

| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |

### Aliases

#### Model aliases

<strong>Ailoot</strong> [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview&fmt=messages)
**Ailoot Ultra** [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview&fmt=messages), [`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview&fmt=messages)
[`~google/gemini-pro-latest`](https://ailoot.ai/models/en/#m=~google%2Fgemini-pro-latest)

#### Method path aliases

`/chat/completions`

#### Related caller IDs

[`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview&fmt=messages), [`~google/gemini-pro-latest`](https://ailoot.ai/models/en/#m=~google%2Fgemini-pro-latest), [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview&fmt=messages), [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview&fmt=messages)

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `google/gemini-3.1-pro-preview`

[`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview&fmt=chat)

Google /`google/gemini-3.1-pro-preview`

Model ID

- `gemini-3.1-pro-preview`
- `google/gemini-3.1-pro-preview`

### Overview

Gemini 3.1 Pro Preview is Google’s multimodal reasoning model for complex software, algorithm and knowledge tasks. It accepts text, images, audio, video and PDF and returns text or code, with tools and structured output. Low, medium and high reasoning levels guide effort; high is the documented default.

Accepted inputs

Text

Results

Text

### Available in Ailoot · inputs & methods

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions`

Input types

`text`

Output types

`text`

Output format

json or SSE

| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits google/gemini-3.1-pro-preview | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits Examples: system, user, assistant, tool, function Conditions: These roles are explicitly represented by Source compatibility types; the exact model role set remains model-specific. Model-specific | Default— |
| Field`messages[].content` | Type`string\|content_part[]\|null` | RequirementOptional | Values & limits | Default— |
| Field`messages[].tool_calls` | Type`tool_call[]` | RequirementOptional | Values & limits | Default— |
| Field`messages[].tool_call_id` | Type`string` | RequirementOptional | Values & limits Applies when: role=tool; use actual returned ID | Default— |
| Field`messages[].name` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`messages[].reasoning_content` | Type`string` | RequirementOptional | Values & limits Applies when: Round-trip actual returned reasoning where this model uses it | Default— |
| Field`messages[].reasoning_details` | Type`object\|array` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`max_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`max_completion_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |
| Field`stream_options.include_usage` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`stop` | Type`string\|string[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools` | Type`function_tool[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`tools[].type` | Type`string` | RequirementOptional | Values & limits function Model-specific | Default— |
| Field`tools[].function.name` | Type`string` | RequirementRequired | Values & limits Applies when: function tool supplied | Default— |
| Field`tools[].function.description` | Type`string` | RequirementOptional | Values & limits | Default— |
| Field`tools[].function.parameters` | Type`JSON_schema` | RequirementOptional | Values & limits | Default— |
| Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`response_format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning_effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`reasoning` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`instructions` | Type`string` | RequirementOptional | Values & limits Compatibility field | Default— |
| Field`functions` | Type`function[]` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`function_call` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— |
| Field`modalities` | Type`string[]` | RequirementOptional | Values & limits text | Default— |
| Field`provider` | Type`object` | RequirementOptional | Values & limits Conditions: provider.options is rejected on this Ultra text route | Default— |
| Field`cache_control.ttl` | Type`string` | RequirementOptional | Values & limits Conditions: 1h is rejected in actual prompt-cache locations | Default— |

Input material combinations

**Text** · UTF8 text

`messages[].content`

Method parameters and lifecycle

| Parameter | Contract |
| --- | --- |
| Parameter`content_type` | Contractapplication/json |
| Parameter`required` | Contractmodel, messages |
| Parameter`material_types` | Contracttext |
| Parameter`messages` | Contractmessage array with role/content shape |
| Parameter`file_material` | Contractactual UTF-8 document inserted as literal text; no file ID inferred |
| Parameter`optional_controls` | Contractstream, temperature, top\_p, stop, max\_tokens, max\_completion\_tokens, reasoning, response\_format, tools, tool\_choice |
| Parameter`control_scope` | Contractmodel-specific; user function tools differ from hosted tools |
| Parameter`output_modalities` | Contracttext |
| Parameter`hosted_operations` | Contractfalse |
| Parameter`multimodal_input_binding` | Contractnull |

Lifecycle: `synchronous_or_streamed`

Send exact model ID with messages.

Context length is not an output cap.

A text file may supply literal text; image/audio/file-object inputs need exact binding.

### Pricing

Tariff references do not add request options. Supported parameters are listed for the selected method.

Fast mode

Standard rate When fast mode is selected

Flex mode

Standard rate When flex mode is selected

Maximum reasoning effort

Standard rate When maximum reasoning effort uses the default adjustment

Reasoning effort · high

Standard rate When reasoning effort is high

Reasoning effort · low

Standard rate When reasoning effort is low

Reasoning effort · medium

Standard rate When reasoning effort is medium

Explicit cache pricing

Not enabled When explicit cache is requested

Reasoning output

Reasoning uses the listed subset rate within aggregate output; do not add those tokens twice. When output includes reasoning tokens

#### Ailoot rates

#### Prices by configuration

Match each charge to the conditions shown. Use one rate for each set of alternative configurations.

| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens Output · Reasoning output tokens **$0.024** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including200,000 | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than200,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.008** / 1K tokens Output · Output tokens **$0.036** / 1K tokens Input · Cache read **$0.0008** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)

### Example requests

#### Ailoot Ultra · OpenAI Chat

curlPython SDKPython stream

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "google/gemini-3.1-pro-preview", "messages": [{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}]}')

Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
r=json.loads(Path("result.json").read_text())
for x in r.get("choices",[]):
    if x.get("message",{}).get("content"): print(x["message"]["content"])
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.chat.completions.create(model='google/gemini-3.1-pro-preview',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}])
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(result.to_dict(mode="json"))
```

```python
from openai import OpenAI
import os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.chat.completions.stream(model='google/gemini-3.1-pro-preview',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_completion()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Receive and save results

#### Ailoot Ultra · OpenAI Chat

json or SSE

##### Keep all completed results

Keep every complete returned response, file and content part.

Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage.

##### If the original response needs checking

Keep request/response IDs and headers. No generic text job retrieval URL is supplied.

Response fields

| Field | Type |
| --- | --- |
| Field`choices[].index` | Typeinteger |
| Field`choices[].message.content` | Typestring\|null |
| Field`choices[].message.tool_calls` | Typetool\_call\[\] |
| Field`choices[].message.reasoning_content` | Typestring |
| Field`choices[].message.reasoning_details` | Typeobject\|array |
| Field`choices[].finish_reason` | Typestring\|null |
| Field`usage` | Typeobject |

Errors and next steps

| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |

### Aliases

#### Model aliases

<strong>Ailoot</strong> [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview)
**Ailoot Ultra** [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview&fmt=chat), [`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview&fmt=chat)
[`~google/gemini-pro-latest`](https://ailoot.ai/models/en/#m=~google%2Fgemini-pro-latest)

#### Method path aliases

`/chat/completions`

#### Related caller IDs

[`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview&fmt=chat), [`~google/gemini-pro-latest`](https://ailoot.ai/models/en/#m=~google%2Fgemini-pro-latest), [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview), [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview&fmt=chat)

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `google/gemini-3.1-pro-preview`

[`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview&fmt=messages)

Google /`google/gemini-3.1-pro-preview`

Model ID

- `gemini-3.1-pro-preview`
- `google/gemini-3.1-pro-preview`

### Overview

Gemini 3.1 Pro Preview is Google’s multimodal reasoning model for complex software, algorithm and knowledge tasks. It accepts text, images, audio, video and PDF and returns text or code, with tools and structured output. Low, medium and high reasoning levels guide effort; high is the documented default.

Accepted inputs

Text

Results

json · sse

### Available in Ailoot · inputs & methods

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages`

Input types

`text`

Output types

`json`, `sse`

Output format

JSON or SSE

| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits google/gemini-3.1-pro-preview | Default— |
| Field`messages` | Type`message[]` | RequirementRequired | Values & limits | Default— |
| Field`messages[].role` | Type`string` | RequirementRequired | Values & limits user, assistant | Default— |
| Field`messages[].content` | Type`string` | RequirementRequired | Values & limits | Default— |
| Field`max_tokens` | Type`integer` | RequirementRequired | Values & limits | Default— |
| Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse |

Input material combinations

**Text** · UTF-8 text

`messages[].content string`

Method parameters and lifecycle

| Parameter | Contract |
| --- | --- |
| Parameter`content_type` | Contractapplication/json |
| Parameter`required` | Contractmodel, messages, max\_tokens |
| Parameter`optional_controls` | Contractstream |
| Parameter`material_types` | Contracttext |
| Parameter`text_file_material` | ContractRead the actual UTF-8 document and put its text in the indicated input or message content string. |

Lifecycle: `synchronous_or_streamed`

### Pricing

Tariff references do not add request options. Supported parameters are listed for the selected method.

Fast mode

Standard rate When fast mode is selected

Flex mode

Standard rate When flex mode is selected

Maximum reasoning effort

Standard rate When maximum reasoning effort uses the default adjustment

Reasoning effort · high

Standard rate When reasoning effort is high

Reasoning effort · low

Standard rate When reasoning effort is low

Reasoning effort · medium

Standard rate When reasoning effort is medium

Explicit cache pricing

Not enabled When explicit cache is requested

Reasoning output

Reasoning uses the listed subset rate within aggregate output; do not add those tokens twice. When output includes reasoning tokens

#### Ailoot rates

#### Prices by configuration

Match each charge to the conditions shown. Use one rate for each set of alternative configurations.

| Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge |
| --- | --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens Output · Reasoning output tokens **$0.024** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including200,000 | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.024** / 1K tokens Input · Cache read **$0.0004** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |
| ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than200,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.008** / 1K tokens Output · Output tokens **$0.036** / 1K tokens Input · Cache read **$0.0008** / 1K tokens Input · Cache write **$0.00075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/)

### Example requests

#### Ailoot Ultra · Anthropic Messages

Complete minimal JSON bodycurl · use your UTF-8 documentPython · save the complete result

```json
{
  "model": "google/gemini-3.1-pro-preview",
  "max_tokens": 128,
  "messages": [
    {
      "role": "user",
      "content": "Summarize the incident report."
    }
  ],
  "stream": false
}
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path

source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
    raise SystemExit('Choose a document containing text')
payload = {'model': 'google/gemini-3.1-pro-preview', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path

result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```

```python
import json, os
from pathlib import Path

source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
    raise SystemExit('Choose a document containing text')
payload = {'model': 'google/gemini-3.1-pro-preview', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError

api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
    raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}
headers['x-api-key'] = api_key
request = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
    with urlopen(request, timeout=120) as response:
        raw = response.read()
        Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
    Path('result.json').write_bytes(error.read())
    Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
    raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path

result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```

### Receive and save results

#### Ailoot Ultra · Anthropic Messages

JSON or SSE

##### Keep all completed results

Keep every complete returned response, file and content part.

Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output.

##### If the original response needs checking

Keep request/response IDs and headers. No generic text job retrieval URL is supplied.

Response fields

| Field | Type |
| --- | --- |
| Field`id` | Typestring |
| Field`model` | Typestring |
| Field`content[]` | Typetext\|thinking\|tool\_use\|other content block |
| Field`stop_reason` | Typestring\|null |
| Field`usage` | Typeobject |

Errors and next steps

| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. |

### Aliases

#### Model aliases

<strong>Ailoot</strong> [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview&fmt=messages)
**Ailoot Ultra** [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview&fmt=messages), [`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview&fmt=messages)
[`~google/gemini-pro-latest`](https://ailoot.ai/models/en/#m=~google%2Fgemini-pro-latest)

#### Method path aliases

`/chat/completions`

#### Related caller IDs

[`google/gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=google%2Fgemini-3.1-pro-preview&fmt=messages), [`~google/gemini-pro-latest`](https://ailoot.ai/models/en/#m=~google%2Fgemini-pro-latest), [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Core&caller=gemini-3.1-pro-preview&fmt=messages), [`gemini-3.1-pro-preview`](https://ailoot.ai/models/en/#m=google%2Fgemini-3.1-pro-preview&route=Ultra&caller=gemini-3.1-pro-preview&fmt=messages)

FAQ · Google: Gemini 3.1 Pro Preview

What inputs and results are available?

`POST /v1/messages` · `gemini-3.1-pro-preview`: `text`, `image` → `text` `POST /v1beta/models/{model}:generateContent` · `gemini-3.1-pro-preview`: `text`, `image` → `text` `POST /v1/chat/completions` · `gemini-3.1-pro-preview`: `text` → `text` `POST /v1/messages` · `gemini-3.1-pro-preview`: `text` → `json`, `sse` `POST /v1/chat/completions` · `google/gemini-3.1-pro-preview`: `text` → `text` `POST /v1/messages` · `google/gemini-3.1-pro-preview`: `text` → `json`, `sse`

Which fields does the request use?

`POST /v1/messages` · `gemini-3.1-pro-preview`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1beta/models/{model}:generateContent` · `gemini-3.1-pro-preview`: `contents`, `systemInstruction`, `sessionId` `POST /v1/chat/completions` · `gemini-3.1-pro-preview`: `model`, `messages`, `stream` `POST /v1/messages` · `gemini-3.1-pro-preview`: `model`, `messages`, `max_tokens`, `stream` `POST /v1/chat/completions` · `google/gemini-3.1-pro-preview`: `model`, `messages`, `stream`, `modalities`, `provider` `POST /v1/messages` · `google/gemini-3.1-pro-preview`: `model`, `messages`, `max_tokens`, `stream`

What limits apply?

`POST /v1/messages` · `gemini-3.1-pro-preview`: `ctx`: `1048576`; `max_out`: `65536`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1beta/models/{model}:generateContent` · `gemini-3.1-pro-preview`: `ctx`: `1048576`; `max_out`: `65536`; `contents.min_items`: `1` `POST /v1/chat/completions` · `gemini-3.1-pro-preview`: `messages.min_items`: `1` `POST /v1/chat/completions` · `google/gemini-3.1-pro-preview`: `messages.min_items`: `1`

Connect Ailoot to Claude Code, OpenCode, Hermes or your own app.

## The company and its project portfolio

The company and its project portfolio: millions of customers; monthly sales in the billions.

## Buy tokens at a discount.

Subscription discounts for regular use. Promo codes offer up to 50% off token purchases.

Subscription

Choose a discounted plan for your regular requests.

Promo code: up to 50% off

Enter your code at checkout. The price updates to reflect the current promotion.

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The model, tokens and amount are recorded for each request.

[Choose a subscription](https://ailoot.ai/docs/en/billing/subscriptions/) · [View model prices](https://ailoot.ai/models/en/)

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Send a description of your project and how you provide access. Request written terms for use and resale.

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The service offer, licence agreement and data processing policy are available before you connect.

[Request a reseller licence](mailto:support@ailoot.ai) · [Service offer and licence agreement](https://ailoot.ai/legal/offer?lang=en)

## Ailoot · The company and its project portfolio





Ailoot combines established operating experience, a large client base, stable service and ongoing KPI control.





The company and its project portfolio: millions of customers; monthly sales in the billions.





Ailoot brings that operating experience to API access for AI features in customer products, agents, applications and automations.