Source: https://ailoot.ai/models/en/claude-sonnet-4-6-thinking/ Canonical: https://ailoot.ai/models/en/claude-sonnet-4-6-thinking/ Language: en # Anthropic: Claude Sonnet 4.6 [Markdown](https://ailoot.ai/models/en/claude-sonnet-4-6-thinking/index.md) · [JSON](https://ailoot.ai/models/en/claude-sonnet-4-6-thinking/facts.json) ## [Anthropic: Claude Sonnet 4.6](https://ailoot.ai/models/en/claude-sonnet-4-6-thinking/) Claude Sonnet 4.6 helps with development, understanding long documents, planning and tasks involving visual data. Supports adaptive reasoning and multi-step tool use. - [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `claude-sonnet-4-6-thinking`](https://ailoot.ai/models/en/claude-sonnet-4-6-thinking/#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. #### Code, documents and an action plan Claude Sonnet 4.6 combines coding, understanding of large context, agentic planning, professional information work and design. Anthropic highlights studying code before making changes and the ability to work through multiple task steps in sequence. This is useful for finding a problem in a large project, analyzing a long document and preparing report content. The model can analyze information from contracts, research papers and other material in one request. A task may include extracting facts, reasoning from them and forming a result that brings several parts together. Described uses also include financial analysis and creation of interface code with attention to composition and presentation. #### Actions in a visual environment Sonnet 4.6 understands **text and images**; its own output is **text**. Anthropic describes computer-use scenarios where the model navigates from a screenshot, chooses mouse and keyboard actions, analyzes a complex table or works through a sequence of web-form steps. Actual execution requires application tools that provide the screen and perform the actions. 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 1568 pixels, with 1568 visual tokens; larger images are downscaled before analysis. File and parameter support depends on the application's method. Similarly, documents, spreadsheets and presentations can be analyzed or have their content prepared, but producing a finished file requires a suitable environment. Images help the model understand charts, diagrams and the visual structure of material; this does not turn it into an image generator. #### How analysis is controlled This version supports adaptive reasoning and manual extended thinking. Manual mode is marked as deprecated; adaptive mode lets the model choose when additional analysis is useful, including between tool calls. The `effort` levels are `low`, `medium`, `high` and `max`, with `high` as the default. According to Anthropic, effort selection helps match the level of work and latency to the nature of the task. The current specification provides **1 million tokens of context** and up to **128 thousand response tokens in ordinary mode**. For sustained work, the manufacturer also describes experimental compaction of old context into a summary. This feature requires application support and does not remove the model's context-window limits. #### Points to consider when working The reliable built-in knowledge cutoff is **August 2025**. Later information requires task material or available search. Connected tools can help find information, execute code and process discovered content; their availability and permitted actions are determined by the application. Sonnet 4.6 was trained to resist hidden malicious instructions in external material, but complex visual environments and ambiguous tasks can still lead to errors. Explicit task requirements, verification of extracted facts and assessment of action results remain part of reliable work with the model. **Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `claude-sonnet-4-6-thinking` [`claude-sonnet-4-6-thinking`](https://ailoot.ai/models/en/#m=claude-sonnet-4-6-thinking&route=Ultra&caller=claude-sonnet-4-6-thinking&fmt=chat) Anthropic /`claude-sonnet-4-6-thinking` ### Overview Claude Sonnet 4.6 helps with development, understanding long documents, planning and tasks involving visual data. Supports adaptive reasoning and multi-step tool use. 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 claude-sonnet-4-6-thinking | 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 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 #### Ailoot rates #### Prices by configuration | Configuration | Rate schedule | Charge | | --- | --- | --- | | ConfigurationBase token rates | Rate scheduleBase rate | Charge Input · Input tokens **$0.006** / 1K tokens Output · Output tokens **$0.03** / 1K tokens Input · Cache read **$0.0006** / 1K tokens Input · Cache write **$0.0075** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/) ### Example requests #### Ailoot Ultra · OpenAI Chat curlPython SDK ```bash set -eu : "${AILOOT_API_KEY:?Set your Ailoot API key}" python3 - <<'PY_REQUEST' import json,os from pathlib import Path p=json.loads('{"model":"claude-sonnet-4-6-thinking","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="claude-sonnet-4-6-thinking", 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 **Ailoot Ultra** [`claude-sonnet-4-6-thinking`](https://ailoot.ai/models/en/#m=claude-sonnet-4-6-thinking&route=Ultra&caller=claude-sonnet-4-6-thinking&fmt=chat) #### Method path aliases `/chat/completions` #### Related caller IDs [`claude-sonnet-4-6-thinking`](https://ailoot.ai/models/en/#m=claude-sonnet-4-6-thinking&route=Ultra&caller=claude-sonnet-4-6-thinking&fmt=chat) FAQ · Anthropic: Claude Sonnet 4.6 What inputs and results are available? `POST /v1/chat/completions` · `claude-sonnet-4-6-thinking`: `text` → `text` Which fields does the request use? `POST /v1/chat/completions` · `claude-sonnet-4-6-thinking`: `model`, `messages`, `stream` What limits apply? `POST /v1/chat/completions` · `claude-sonnet-4-6-thinking`: `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. 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. 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