Source: https://ailoot.ai/models/en/google-gemini-2-5-flash-image/
Canonical: https://ailoot.ai/models/en/google-gemini-2-5-flash-image/
Language: en

# Google: Nano Banana (Gemini 2.5 Flash Image)

[Markdown](https://ailoot.ai/models/en/google-gemini-2-5-flash-image/index.md) · [JSON](https://ailoot.ai/models/en/google-gemini-2-5-flash-image/facts.json)

## [Google: Nano Banana (Gemini 2.5 Flash Image)](https://ailoot.ai/models/en/google-gemini-2-5-flash-image/)

Nano Banana (Gemini 2.5 Flash Image) generates and edits pictures from text and images. Use its conversational workflow to compose a scene, change a selected element, combine visual references or refine a product image while stating which details should remain.

- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `google/gemini-2.5-flash-image`](https://ailoot.ai/models/en/google-gemini-2-5-flash-image/#method-0)
- [**Ailoot Ultra · Images** `POST /v1/images/generations` `google/gemini-2.5-flash-image`](https://ailoot.ai/models/en/google-gemini-2-5-flash-image/#method-1)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `google/gemini-2.5-flash-image`](https://ailoot.ai/models/en/google-gemini-2-5-flash-image/#method-2)

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 2.5 Flash Image, also known as Nano Banana, is Google’s text-and-image model for visual creation and conversational image editing. It accepts an instruction with optional image references and can return images with accompanying text. This exact 2.5 Flash Image edition is distinct from Nano Banana 2, Nano Banana Pro and later Lite image models. Its useful result is a generated or revised visual asset, not the response of the general Gemini 2.5 text model.

The exact model card lists 65,536 input tokens and 32,768 output tokens. Images and instructions are part of the input, and the returned image or text is part of the result. The guide’s resolution table gives 1:1 output at 1024×1024, 3:4 at 864×1184 and 16:9 at 1344×768, among its supported aspect ratios. Choose the intended display shape before designing the scene. The high-resolution options of a later Gemini image edition should not be treated as controls documented for this exact model.

For text-to-image creation, specify the subject, action, environment, style, lighting and viewpoint. A product illustration might use a supplied visual identity and request a clearly visible material detail in an appropriate setting. Explain the purpose of the picture so the model can allocate space for the subject and any text. Photographic descriptions such as a close view, an overhead composition or a low-angle perspective help define framing more clearly than a list of unrelated style words.

For editing, supply the original image and identify the part to change. The maker’s guide describes adding or removing elements, semantic masking, style transfer and composition using references. A useful request names both the revision and the conditions to preserve—for example, change the background while retaining the product’s shape, surface and label. Label each input’s role when combining references, such as subject appearance, setting or style. The guide says this edition works best with up to three input images; this is practical guidance, not a reason to combine an unlimited set of conflicting references.

Conversational refinement can keep the same subject while changing a specific visual decision. Ask for one connected revision at a time and retain the source image and the accepted result used for that turn. Describe what should stay consistent and what may vary. For a sequence of assets, identify the shared subject, colors and visual rules explicitly rather than assuming that a new isolated prompt will recover them. Compare the revised image with the reference before treating a preservation instruction as successfully followed.

For in-image text, settle the exact wording first and then request the picture containing that text, as recommended by the guide. State the language, reading order, placement and relative emphasis of labels. An infographic request should identify the relationship each label explains and the visual elements that support it. Review spelling, punctuation and visual association at the actual display size; a readable-looking generated label can still change a name, number or intended meaning.

The model card does not list thinking, search grounding, function calling, code execution or constrained structured output for this edition. It also does not advertise audio generation or the Live API. Its documented input is text and images, so audio, video and document-processing features from other Gemini models should not be attached to this profile. An application should handle the returned content parts explicitly instead of assuming that a normal prose reply contains the finished image asset.

The guide notes that the requested number of images may not always be followed and that generated images include SynthID marking. Inspect every returned image for composition, subject fidelity, object count and exact wording. If the scene has several components, describe their intended arrangement in a clear order and express the desired appearance positively. Retain the exact model identity, prompt and references with the result. This makes the visual generation or editing task reviewable and gives a later revision a concrete starting point.

Practical task

### Change a product photo background

Technical example in English

```
Change a product photo background

Using the supplied product photograph, preserve the ceramic mug's shape, handle, glaze and existing logo exactly. Replace only the background with a pale stone tabletop and soft morning side light. Keep the camera angle and mug position. Remove unrelated background clutter and add no new lettering, props or decorative marks.
```

#### Expected result

```
An edited image retaining the reference mug while changing its setting and light as requested.
```

#### Check the result

```
Compare the result with the reference for mug geometry, logo fidelity, camera angle and removal of clutter.
```

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `google/gemini-2.5-flash-image`

[`google/gemini-2.5-flash-image`](https://ailoot.ai/models/en/#m=google%2Fgemini-2.5-flash-image&route=Ultra&caller=google%2Fgemini-2.5-flash-image&fmt=chat)

Google /`google/gemini-2.5-flash-image`

### Overview

Nano Banana (Gemini 2.5 Flash Image) generates and edits pictures from text and images. Use its conversational workflow to compose a scene, change a selected element, combine visual references or refine a product image while stating which details should remain.

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-2.5-flash-image | 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

Explicit cache pricing

Not enabled When explicit cache is requested

#### 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 **$0.0006** / 1K tokens Output · Output tokens **$0.005** / 1K tokens Input · Cache read **$0.00006** / 1K tokens Input · Cache write **$0.0001666666666666666** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens Output · Image output tokens **$0.06** / 1K image tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.0006** / 1K tokens Output · Output tokens **$0.005** / 1K tokens Input · Cache read **$0.00006** / 1K tokens Input · Cache write **$0.0001666666666666666** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens |

#### Reference tariff details

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

google/gemini-2.5-flash-image

#### Prices by configuration

| Configuration | Billing conditions | Charge |
| --- | --- | --- |
| Configurationgoogle/gemini-2.5-flash-image · Default configuration | Billing conditionsDefault configuration | Charge Input · Input **$0.0006** / 1K tokens Output · Output **$0.06** / 1K tokens |

Google: Nano Banana (Gemini 2.5 Flash Image)

#### Prices by configuration

| Configuration | Billing conditions | Charge |
| --- | --- | --- |
| ConfigurationGoogle: Nano Banana (Gemini 2.5 Flash Image) · Default configuration | Billing conditionsDefault configuration | Charge Input · Input tokens **$0.0006** / 1K tokens Output · Output tokens **$0.005** / 1K tokens Input · Input image **$0.0006** / 1K tokens Output · Output image **$0.06** / 1K tokens Input · Audio input **$0.002** / 1K tokens Input · Audio cache read **$0.0002** / 1K tokens Output · Web search **$0.028** per search Output · Reasoning tokens **$0.005** / 1K tokens Input · Cache read **$0.00006** / 1K tokens Input · Cache write · 5 minutes **≈$0.000167** / 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-2.5-flash-image", "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-2.5-flash-image',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-2.5-flash-image',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

**Ailoot Ultra** [`google/gemini-2.5-flash-image`](https://ailoot.ai/models/en/#m=google%2Fgemini-2.5-flash-image&route=Ultra&caller=google%2Fgemini-2.5-flash-image&fmt=chat)

#### Method path aliases

`/v1/images`

#### Related caller IDs

[`google/gemini-2.5-flash-image`](https://ailoot.ai/models/en/#m=google%2Fgemini-2.5-flash-image&route=Ultra&caller=google%2Fgemini-2.5-flash-image&fmt=chat)

**Ailoot Ultra · Images** `POST /v1/images/generations` `google/gemini-2.5-flash-image`

[`google/gemini-2.5-flash-image`](https://ailoot.ai/models/en/#m=google%2Fgemini-2.5-flash-image&route=Ultra&caller=google%2Fgemini-2.5-flash-image&fmt=images)

Google /`google/gemini-2.5-flash-image`

### Overview

Nano Banana (Gemini 2.5 Flash Image) generates and edits pictures from text and images. Use its conversational workflow to compose a scene, change a selected element, combine visual references or refine a product image while stating which details should remain.

Accepted inputs

Text · Images

Results

Images

### Available in Ailoot · inputs & methods

**Ailoot Ultra · Images** `POST /v1/images/generations`

Input types

`text`, `image`

Output types

`image`

| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`model` | Type`string` | RequirementRequired | Values & limits google/gemini-2.5-flash-image | Default— |
| Field`prompt` | Type`string` | RequirementRequired | Values & limits Minimum length: 1 | Default— |
| Field`aspect_ratio` | Type`string` | RequirementOptional | Values & limits 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 | Default— |
| Field`n` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Maximum: 1 | Default— |
| Field`input_references` | Type`array` | RequirementOptional | Values & limits Minimum items: 0 Maximum items: 3 | Default— |
| Field`provider` | Type`object` | RequirementOptional | Values & limits | Default— |

Method parameters and lifecycle

| Parameter | Contract |
| --- | --- |
| Parameter`content_type` | Contractapplication/json |
| Parameter`required` | Contractmodel, prompt |
| Parameter`material_types` | Contracttext, image |

Lifecycle: `synchronous_result_then_owned_library`

`GET /v1/media/tasks/{task_id}` · actual returned task\_id or media library record

`GET /v1/media/assets/{asset_id}/content`

`GET /v1/media/assets`

`GET /v1/media/assets/{asset_id}`

### Pricing

##### How the final charge is calculated

The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.

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

Fast mode

Not specified When fast mode is selected

Flex mode

Not specified When flex mode is selected

Maximum reasoning effort

Not specified When maximum reasoning effort uses the default adjustment

#### Estimated rates for comparison

#### Prices by configuration

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

| Configuration | Rate schedule | Forecast quantity | Charge |
| --- | --- | --- | --- |
| ConfigurationBase token rates | Rate scheduleBase rate | Forecast quantity— | Charge Input · Input tokens · Estimate for comparison only **—** / 1K tokens Output · Output tokens · Estimate for comparison only **—** / 1K tokens Input · Cache read · Estimate for comparison only **—** / 1K tokens Input · Cache write · Estimate for comparison only **—** / 1K tokens Input · Cache write, 1 hour · Estimate for comparison only **—** / 1K tokens |
| ConfigurationEstimated generation cost | Rate schedule— | Forecast quantityone generation estimate | Charge Output · Estimated generation cost · Estimate for comparison only **$0.24576** estimate before generation This estimate is not an additional charge or a fixed rate for the completed generation. |

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 · Images

curl

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p={'model': 'google/gemini-2.5-flash-image', 'prompt': 'a red panda astronaut floating in space, studio lighting'}

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/images/generations \
  -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 base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        ext="png" if raw.startswith(b"\x89PNG") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")
save_images(json.loads(Path("result.json").read_text())["data"])
PY_RESULT
```

### Receive and save results

#### Ailoot Ultra · Images

Download each returned image or save its Base64 contents

- `GET /v1/media/tasks/{task_id}`
- `GET /v1/media/assets/{asset_id}/content`
- `GET /v1/media/assets`
- `GET /v1/media/assets/{asset_id}`

Other content reads

Read existing owned assets

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \
  -H "Authorization: Bearer $AILOOT_API_KEY" -o owned-assets.json
# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.
```

##### Keep all completed results

Save every completed image; retrieve each returned URL or decode its Base64 contents.

Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.

##### If the original response needs checking

Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task\_id/asset\_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation.

Response fields

| Field | Type |
| --- | --- |
| Field`created` | Type |
| Field`data[].url` | Type |
| Field`data[].b64_json` | Type |
| Field`usage` | Type |

### Aliases

#### Model aliases

**Ailoot Ultra** [`google/gemini-2.5-flash-image`](https://ailoot.ai/models/en/#m=google%2Fgemini-2.5-flash-image&route=Ultra&caller=google%2Fgemini-2.5-flash-image&fmt=images)

#### Method path aliases

`/v1/images`

#### Related caller IDs

[`google/gemini-2.5-flash-image`](https://ailoot.ai/models/en/#m=google%2Fgemini-2.5-flash-image&route=Ultra&caller=google%2Fgemini-2.5-flash-image&fmt=images)

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `google/gemini-2.5-flash-image`

[`google/gemini-2.5-flash-image`](https://ailoot.ai/models/en/#m=google%2Fgemini-2.5-flash-image&route=Ultra&caller=google%2Fgemini-2.5-flash-image&fmt=messages)

Google /`google/gemini-2.5-flash-image`

### Overview

Nano Banana (Gemini 2.5 Flash Image) generates and edits pictures from text and images. Use its conversational workflow to compose a scene, change a selected element, combine visual references or refine a product image while stating which details should remain.

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-2.5-flash-image | 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

Explicit cache pricing

Not enabled When explicit cache is requested

#### 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 **$0.0006** / 1K tokens Output · Output tokens **$0.005** / 1K tokens Input · Cache read **$0.00006** / 1K tokens Input · Cache write **$0.0001666666666666666** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens Output · Image output tokens **$0.06** / 1K image tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.0006** / 1K tokens Output · Output tokens **$0.005** / 1K tokens Input · Cache read **$0.00006** / 1K tokens Input · Cache write **$0.0001666666666666666** / 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-2.5-flash-image",
  "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-2.5-flash-image', '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-2.5-flash-image', '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

**Ailoot Ultra** [`google/gemini-2.5-flash-image`](https://ailoot.ai/models/en/#m=google%2Fgemini-2.5-flash-image&route=Ultra&caller=google%2Fgemini-2.5-flash-image&fmt=messages)

#### Method path aliases

`/v1/images`

#### Related caller IDs

[`google/gemini-2.5-flash-image`](https://ailoot.ai/models/en/#m=google%2Fgemini-2.5-flash-image&route=Ultra&caller=google%2Fgemini-2.5-flash-image&fmt=messages)

FAQ · Google: Nano Banana (Gemini 2.5 Flash Image)

What inputs and results are available?

`POST /v1/chat/completions` · `google/gemini-2.5-flash-image`: `text` → `text` `POST /v1/images/generations` · `google/gemini-2.5-flash-image`: `text`, `image` → `image` `POST /v1/messages` · `google/gemini-2.5-flash-image`: `text` → `json`, `sse`

Which fields does the request use?

`POST /v1/chat/completions` · `google/gemini-2.5-flash-image`: `model`, `messages`, `stream`, `modalities`, `provider` `POST /v1/images/generations` · `google/gemini-2.5-flash-image`: `model`, `prompt`, `aspect_ratio`, `n`, `input_references`, `provider` `POST /v1/messages` · `google/gemini-2.5-flash-image`: `model`, `messages`, `max_tokens`, `stream`

What limits apply?

`POST /v1/chat/completions` · `google/gemini-2.5-flash-image`: `messages.min_items`: `1` `POST /v1/images/generations` · `google/gemini-2.5-flash-image`: `n.minimum`: `1`; `n.maximum`: `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.

Spending in your history

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/)

## Connect the API to a product you sell.

Use Ailoot in SaaS, apps and bots under its official service offer and licence agreement. Request a reseller licence for resale.

Commercial application

Add text, image, video and audio generation to paid features in your service.

Reseller licence

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

Documents on the website

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.