Source: https://ailoot.ai/models/en/anthropic-claude-opus-5-5-u003a-batch/
Canonical: https://ailoot.ai/models/en/anthropic-claude-opus-5-5-u003a-batch/
Language: en

# Anthropic: Claude Opus 5.5 (batch)

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## [Anthropic: Claude Opus 5.5 (batch)](https://ailoot.ai/models/en/anthropic-claude-opus-5-5-u003a-batch/)

Claude Opus 5.5 is designed for large engineering changes and sustained professional analysis. Helps verify results and clearly explain complex work while maintaining the specified writing style.

- [**Ailoot Ultra · Batch** `POST /v1/batches` `anthropic/claude-opus-5.5:batch`](https://ailoot.ai/models/en/anthropic-claude-opus-5-5-u003a-batch/#method-0)

About the model

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

#### Sustained development and professional analysis

Claude Opus 5.5 is designed for many hours of work on complex engineering tasks. Anthropic highlights large migrations, codebase audits, removal of software inefficiencies and investigation of systems. The model can study a problem, plan changes, use action results and continue working through preparation of the outcome.

Other uses include research, financial analysis and business material. An example professional workflow connects building a financial model with presenting its conclusions in a presentation. This requires application tools for data, files and presentation; the model's own text response can contain analysis, the material's structure or code.

#### Conclusions that can be understood and checked

Communication is a particular focus of this version. According to Anthropic's description, the model places the main point first, uses less specialized jargon and follows specified writing rules. In sustained work, this helps connect completed actions to a clear final explanation. The desired detail, tone and format should be described explicitly.

The model accepts **text and images**. It can read values from dense charts, diagrams and interface screenshots; zooming or cropping through tools remains useful for particularly dense material. The response is **text**, while finished documents and visual material are produced by tools in the environment.

The manufacturer's standard visual input formats are JPEG/PNG/GIF/WebP, using the first frame of an animation. For native analysis, the longer dimension is 2576 pixels, with 4784 visual tokens; larger images are downscaled before analysis. File and parameter support depends on the application's method.

#### Reasoning is always enabled

Opus 5.5 uses **always-on adaptive reasoning**. Disabling reasoning and a manual extended thinking budget are not supported. The main depth control is `effort`: `low`, `medium`, `high`, `xhigh` and `max` are available, with **`medium`** as the default.

At high levels, the model may devote more analysis to an individual step. The overall response limit includes room for reasoning and final content, so a complex task requires an appropriate budget. The context window is **1 million tokens**, and the maximum response in ordinary mode is **128 thousand tokens**. The reliable built-in knowledge cutoff is **June 2026**.

#### Tools and the history of a long task

The manufacturer provides task budgets, changes to effort and available tools during a conversation, on-demand history compaction and intermediate notes between actions. Their availability and display depend on the application. If the application returns retained reasoning blocks, compatibility is limited: Opus 5.5 reads its own blocks, those of Opus 5 and earlier Opus, Sonnet and Haiku models; it does not read Fable or Mythos reasoning. Other model pairings require appropriate method support. Incompatible blocks are excluded before the next turn, which continues without them. Editing previous messages, the system instruction or an earlier set of tools can break the binding of subsequent blocks: its verification either rejects the request or excludes the affected blocks.

If the method provides tool settings, the manufacturer's model permits automatic selection with `auto` and disabling tools with `none`. A call cannot be forced either to any tool with `any` or to a specific named tool with `tool`. Reading documents, executing code, controlling interfaces and creating files are possible through provided tools, not automatically from an ordinary text request.

Safety mechanisms apply in high-risk fields. Anthropic explicitly acknowledges that preliminary behavioral checks do not identify every possible error. Clear explanations and the model's own checks are therefore useful but do not replace verification of the final result in the specific task.

**Ailoot Ultra · Batch** `POST /v1/batches` `anthropic/claude-opus-5.5:batch`

[`anthropic/claude-opus-5.5:batch`](https://ailoot.ai/models/en/#m=anthropic%2Fclaude-opus-5.5%3Abatch&route=Ultra&caller=anthropic%2Fclaude-opus-5.5%3Abatch&fmt=batches)

Anthropic /`anthropic/claude-opus-5.5:batch`

### Overview

Claude Opus 5.5 is designed for large engineering changes and sustained professional analysis. Helps verify results and clearly explain complex work while maintaining the specified writing style.

Accepted inputs

Text

Results

Text

### Available in Ailoot · inputs & methods

**Ailoot Ultra · Batch** `POST /v1/batches`

Input types

`text`

Output types

`text`

Output format

inline results\[\].response.body JSON

| Field | Type | Requirement | Values & limits | Default |
| --- | --- | --- | --- | --- |
| Field`endpoint` | Type`string` | RequirementRequired | Values & limits /v1/chat/completions | Default— |
| Field`model` | Type`string` | RequirementRequired | Values & limits anthropic/claude-opus-5.5:batch | Default— |
| Field`requests` | Type`batch_item[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— |
| Field`requests[].custom_id` | Type`string` | RequirementRequired | Values & limits | Default— |
| Field`requests[].body.messages` | Type`message[]` | RequirementRequired | Values & limits | Default— |
| Field`completion_window` | Type`string` | RequirementOptional | Values & limits 24h | Default— |
| Field`provider` | Type`object\|null` | RequirementOptional | Values & limits | Default— |
| Field`requests[].body.model` | Type`string` | RequirementOptional | Values & limits anthropic/claude-opus-5.5:batch, anthropic/claude-opus-5.5 | Default— |
| Field`provider.only` | Type`string[]` | RequirementOptional | Values & limits anthropic | Default— |
| Field`provider.allow_fallbacks` | Type`boolean\|null` | RequirementOptional | Values & limits false, null | Default— |

Method parameters and lifecycle

| Parameter | Contract |
| --- | --- |
| Parameter`content_type` | Contractapplication/json |
| Parameter`required` | Contractendpoint, model, requests |
| Parameter`material_types` | Contracttext |
| Parameter`representation` | Contractinline requests\[\]; each item has custom\_id and body |
| Parameter`request_endpoint_profile` | Contract/v1/chat/completions |
| Parameter`file_material` | ContractCaller may read actual UTF-8 JSONL locally into requests\[\]. No upload purpose, input\_file\_id or file reference is used. Missing/empty customer material stops preparation before POST. |
| Parameter`serialization_order` | Contractendpoint, model, provider (if supplied), completion\_window (if supplied), requests last |
| Parameter`optional_controls` | Contractprovider.only, provider.allow\_fallbacks, completion\_window |
| Parameter`schema_scope` | ContractText Chat Completions bodies in the documented inline Batch envelope. |

Lifecycle: `asynchronous`

`GET /v1/batches/{operation_id}` · actual original create response.id; same user/key/group

### Pricing

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

Explicit cache pricing

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 **$0.004** / 1K tokens Output · Output tokens **$0.02** / 1K tokens Input · Cache read **$0.0002** / 1K tokens Input · Cache write **$0.005** / 1K tokens Input · Cache write, 1 hour **$0.008** / 1K tokens |
| ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.004** / 1K tokens Output · Output tokens **$0.02** / 1K tokens Input · Cache read **$0.0002** / 1K tokens Input · Cache write **$0.005** / 1K tokens Input · Cache write, 1 hour **$0.008** / 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 · Batch

curl · retained fixturePython HTTP · actual customer JSONLPython · save every completed result

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
python3 - <<'PY_REQUEST'
import json
from pathlib import Path
body=json.loads('{"endpoint":"/v1/chat/completions","model":"anthropic/claude-opus-5.5:batch","requests":[{"custom_id":"req-0001","body":{"messages":[{"role":"user","content":"Hello!"}],"max_tokens":16}}]}')
Path("batch-request.json").write_text(json.dumps(body,ensure_ascii=False),encoding="utf-8")
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/batches \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @batch-request.json -D batch-response-headers.txt -o batch-create-response.json
```

```python
import json, os
from pathlib import Path
from urllib.request import Request, urlopen

def prepare_requests(customer_path):
    path = Path(customer_path)
    if not path.is_file(): raise ValueError("Customer JSONL file is missing")
    items = [json.loads(line) for line in path.read_text(encoding="utf-8").splitlines() if line.strip()]
    if not items: raise ValueError("Customer JSONL contains no requests")
    ids = set()
    for item in items:
        if set(item) != {"custom_id", "body"}: raise ValueError("Each item needs custom_id and body")
        cid = item["custom_id"]
        if not isinstance(cid, str) or not cid.strip() or cid in ids: raise ValueError("custom_id must be nonempty and unique")
        ids.add(cid)
        if not isinstance(item["body"], dict) or not item["body"].get("messages"): raise ValueError("Supply actual text messages")
        supplied_model = item["body"].get("model")
        if supplied_model is not None and supplied_model not in ['anthropic/claude-opus-5.5:batch', 'anthropic/claude-opus-5.5']: raise ValueError("body.model must be an exact documented caller or wire ID")
    return {"endpoint":"/v1/chat/completions", "model":"anthropic/claude-opus-5.5:batch", "requests":items}

if __name__ == "__main__":
    material = os.environ.get("AILOOT_BATCH_REQUESTS_JSONL", "")
    if not material: raise SystemExit("Set AILOOT_BATCH_REQUESTS_JSONL to your actual customer file")
    body = prepare_requests(material)
    key = os.environ.get("AILOOT_API_KEY", "")
    if not key: raise SystemExit("Set AILOOT_API_KEY")
    request = Request("https://api.ailoot.ai/v1/batches", data=json.dumps(body, ensure_ascii=False).encode("utf-8"), headers={"Authorization":"Bearer " + key, "Content-Type":"application/json"}, method="POST")
    with urlopen(request) as response:
        raw = response.read()
        Path("batch-create-response.json").write_bytes(raw)
        print(raw.decode("utf-8"))
```

```python
import json
from pathlib import Path
raw = Path("batch-status-response.json").read_bytes()
response = json.loads(raw)
if response.get("status") != "completed":
    raise SystemExit("Keep the original operation; read its status without resubmitting")
results = response.get("results")
if not isinstance(results, list) or not results:
    raise SystemExit("Preserve the original response; completed results are missing")
Path("batch-results.jsonl").write_text("".join(json.dumps(item, ensure_ascii=False) + "\n" for item in results), encoding="utf-8")
# Preserve batch-status-response.json with aggregate usage and every result/error.
```

### Receive and save results

#### Ailoot Ultra · Batch

inline results\[\].response.body JSON

- `GET /v1/batches/{operation_id}`

##### Check job status

curl · original operation status

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
BATCH_OPERATION_ID="$(python3 - <<'PY_ID'
import json
from pathlib import Path
from urllib.parse import quote
response = json.loads(Path("batch-create-response.json").read_text(encoding="utf-8"))
operation = response.get("id")
if not isinstance(operation, str) or not operation: raise SystemExit("No actual original operation ID; preserve the response and do not resubmit")
print(quote(operation, safe=""))
PY_ID
)"
curl --fail-with-body --silent --show-error "https://api.ailoot.ai/v1/batches/$BATCH_OPERATION_ID" \
  -H "Authorization: Bearer $AILOOT_API_KEY" -o batch-status-response.json
```

##### Keep all completed results

Keep every complete returned response, file and content part.

Preserve the full original status JSON, every result/custom\_id and complete response or error body. Save completed results\[\] as JSONL without filtering.

##### If the original response needs checking

Preserve the original operation ID. 503 result\_pending\_check has X-Should-Retry:false; never resubmit an unknown original batch.

Response fields

| Field | Type |
| --- | --- |
| Field`results[].custom_id` | Typestring |
| Field`results[].response.body.choices[].message.content` | Typestring\|null |
| Field`results[].error` | Typeobject\|null |
| Field`usage` | Typeobject\|null |
| Field`id` | Typestring |
| Field`model` | Typestring |
| Field`endpoint` | Typestring |
| Field`status` | Typestring |
| Field`request_counts` | Typeobject |
| Field`results[].id` | Typestring |
| Field`results[].response.status_code` | Typeinteger |
| Field`results[].response.request_id` | Typestring |

Errors and next steps

| Response | Condition | Next step |
| --- | --- | --- |
| Response400 · `invalid_request_error` | ConditionInvalid documented inline envelope, duplicate keys, item identity, or configured model capabilities conflict. | Next stepCorrect the indicated fields before any new submission. |
| Response401 · `authentication_error` | ConditionInvalid API key. | Next stepUse the authorized Ailoot key. |
| Response403 · `permission_error` | ConditionBatch group unavailable. | Next stepCheck key/group entitlement. |
| Response422 · `invalid_request_error` | ConditionBatch uses balance billing; subscription creation is rejected. | Next stepUse the authorized balance-billed group. |
| Response422 · `price_unavailable` | ConditionBatch input cannot be quoted. | Next stepPreserve response; use documented family input. |
| Response402 · `billing_error` | ConditionBatch reserve unavailable. | Next stepResolve admission before a new request. |
| Response503 · `price_unavailable` | ConditionBatch method price/native rates unavailable. | Next stepPreserve response; do not substitute prices. |
| Response503 · `api_error` | ConditionExact supplier route unavailable. | Next stepPreserve response for route repair. |
| Response503 · `result_pending_check` | ConditionOriginal result requires checking; X-Should-Retry:false. | Next stepKeep original operation\_id/id and read its status; never repeat original POST. |
| Response404 · `not_found` | ConditionBatch status operation absent or owned by another identity. | Next stepUse exact original id and same user/key/group. |

### Aliases

#### Model aliases

**Ailoot Ultra** [`anthropic/claude-opus-5.5:batch`](https://ailoot.ai/models/en/#m=anthropic%2Fclaude-opus-5.5%3Abatch&route=Ultra&caller=anthropic%2Fclaude-opus-5.5%3Abatch&fmt=batches)

#### Method path aliases

Use the method paths shown above.

#### Related caller IDs

[`anthropic/claude-opus-5.5:batch`](https://ailoot.ai/models/en/#m=anthropic%2Fclaude-opus-5.5%3Abatch&route=Ultra&caller=anthropic%2Fclaude-opus-5.5%3Abatch&fmt=batches)

FAQ · Anthropic: Claude Opus 5.5 (batch)

What inputs and results are available?

`POST /v1/batches` · `anthropic/claude-opus-5.5:batch`: `text` → `text`

Which fields does the request use?

`POST /v1/batches` · `anthropic/claude-opus-5.5:batch`: `endpoint`, `model`, `requests`, `completion_window`, `provider`

What limits apply?

`POST /v1/batches` · `anthropic/claude-opus-5.5:batch`: `requests.min_items`: `1`

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