Anthropic: Claude Sonnet 5.5 (batch)

Claude Sonnet 5.5 is designed for well-defined development, analysis and document preparation tasks. Emphasizes clear writing, visual presentation and sequential tool use.

Ailoot Ultra · Batch POST /v1/batches anthropic/claude-sonnet-5.5:batch

About the model

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

Everyday work with a clear task

Claude Sonnet 5.5 is intended for well-defined tasks: writing code, fixing bugs, analyzing information and preparing professional material. According to Anthropic, it is designed for fast iteration, where a result can be inspected, refined and work continued. Its presentation specifically highlights clear writing, careful document formatting and attention to interface design.

A task can combine reading material with producing final content. One described scenario is analyzing a company's quarterly material and a presentation transcript, then preparing slides in a specified design. The model can help with documents, spreadsheets and slides through provided tools; the application environment produces the finished file.

Visual material and continuing a task

The model accepts text and images, and produces its own response as text. It can connect visual information to a text prompt and support sustained multi-step work. Charts, tables and document pages supply analysis material; further file and interface actions require application tools.

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.

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. The manufacturer provides for changing effort and available tools during a conversation, as well as on-demand history compaction. These capabilities require environment support. If the application returns retained reasoning, Sonnet 5.5 reads its own blocks and those of Sonnet 5, Opus 4.8, Haiku 4.5 and earlier models; blocks from Opus 5, Opus 5.5, Fable and Mythos are incompatible with it. The ability to transfer its blocks to another model depends on the specific pairing and method support. Incompatible blocks are excluded, and subsequent turns proceed without the earlier reasoning. Changes to earlier messages, the system instruction or previous tool definitions can break block bindings and, when checked, cause the request to be rejected or affected blocks to be excluded.

Adaptive reasoning and work between tools

The standard mode is adaptive reasoning with effort set to high. Five effort levels are available: low, medium, high, xhigh and max. For a well-defined agentic task, Anthropic recommends starting at medium; for more difficult, sustained work, at high. The appropriate level depends on the task and required detail.

A separate between_tools mode removes preliminary reasoning before the first action and retains it between tool calls. It is supported only at low, medium and high. xhigh and max require adaptive mode. Fully disabling reasoning and a manual extended thinking budget are not supported for Sonnet 5.5.

Exact execution conditions

When the method supports tool control, automatic selection with auto and disabling tools with none are allowed. The manufacturer's model does not support forced options: requiring any tool with any or a specific named tool with tool. In between_tools mode, effort cannot be changed during a conversation; in ordinary adaptive mode, the manufacturer provides this setting. Working with tool results requires a consistent history to be retained.

In a method that supports these settings, non-default values of temperature, top_p and top_k are not accepted; the desired response format and style are specified through instructions.

In this version, the updated tokenizer retains the characteristics of the Sonnet 5 generation. Predicting request size requires consideration of the material's content, not just its character count. Ordinary development and research tasks are among the model's main uses, but some sensitive requests are restricted by safety mechanisms.

Ailoot Ultra · Batch POST /v1/batches anthropic/claude-sonnet-5.5:batch

anthropic/claude-sonnet-5.5:batch

Anthropic /anthropic/claude-sonnet-5.5:batch

Overview

Claude Sonnet 5.5 is designed for well-defined development, analysis and document preparation tasks. Emphasizes clear writing, visual presentation and sequential tool use.

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-sonnet-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-sonnet-5.5:batch, anthropic/claude-sonnet-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 $0.002 / 1K tokens Output · Output tokens $0.01 / 1K tokens Input · Cache read $0.0001 / 1K tokens Input · Cache write $0.0025 / 1K tokens Input · Cache write, 1 hour $0.004 / 1K tokens
ConfigurationRequest-length tier 1	Rate schedule—	Context tokens, more than0	Context tokens, up to and includingNo upper bound	Charge Input · Input tokens $0.002 / 1K tokens Output · Output tokens $0.01 / 1K tokens Input · Cache read $0.0001 / 1K tokens Input · Cache write $0.0025 / 1K tokens Input · Cache write, 1 hour $0.004 / 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 →

Example requests

Ailoot Ultra · Batch

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

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-sonnet-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

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-sonnet-5.5:batch', 'anthropic/claude-sonnet-5.5']: raise ValueError("body.model must be an exact documented caller or wire ID")
    return {"endpoint":"/v1/chat/completions", "model":"anthropic/claude-sonnet-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"))

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

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-sonnet-5.5:batch

Method path aliases

Use the method paths shown above.

Related caller IDs

anthropic/claude-sonnet-5.5:batch

FAQ · Anthropic: Claude Sonnet 5.5 (batch)

What inputs and results are available?: POST /v1/batches · anthropic/claude-sonnet-5.5:batch: text → text
Which fields does the request use?: POST /v1/batches · anthropic/claude-sonnet-5.5:batch: endpoint, model, requests, completion_window, provider
What limits apply?: POST /v1/batches · anthropic/claude-sonnet-5.5:batch: requests.min_items: 1

Anthropic: Claude Sonnet 5.5 (batch)