Source: https://ailoot.ai/models/en/claude-sonnet-4-20250514-thinking/ Canonical: https://ailoot.ai/models/en/claude-sonnet-4-20250514-thinking/ Language: en # Anthropic: Claude Sonnet 4 [Markdown](https://ailoot.ai/models/en/claude-sonnet-4-20250514-thinking/index.md) · [JSON](https://ailoot.ai/models/en/claude-sonnet-4-20250514-thinking/facts.json) ## [Anthropic: Claude Sonnet 4](https://ailoot.ai/models/en/claude-sonnet-4-20250514-thinking/) Claude Sonnet 4 is Anthropic’s model for coding and reasoning with text, image and file input. Its published profile includes tools and reasoning controls, a 200,000-token context window and up to 64,000 completion tokens. - [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `claude-sonnet-4-20250514-thinking`](https://ailoot.ai/models/en/claude-sonnet-4-20250514-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. Claude Sonnet 4 is Anthropic’s model with a focus on coding and reasoning tasks. The published hosting profile accepts text, images and files and returns text. It lists reasoning and function-tool controls, with a 200,000-token context window and up to 64,000 completion tokens. #### Code and documents with an explicit result For software work, provide the relevant source, observed behavior and desired correction. Keep the failing example and actual error output when they determine the diagnosis. Ask for a focused change and the checks needed to assess its effect. For document analysis, label the sources and name the criteria or questions to apply. A comparison can request one finding per criterion; an extraction can define the values to return and how missing information should appear. Preserve source labels so a concise answer stays connected to the material that supports it. #### Use visual evidence purposefully Identify the image, page or interface state that matters and the detail to inspect. A screenshot can support a question about visible content or behavior; a document image can add layout context to the written material. Keep the relevant source available when reviewing any extracted wording or interpretation. #### Reasoning and application tools The profile lists reasoning and function tools. Define the operations available to the surrounding application and retain their returned observations. A proposed action and its actual result serve different roles in the workflow; the observation supplies evidence for the next step. When an answer will become data, state the fields and their meaning and validate the actual returned record against the source. For a human-readable result, request the conclusion and the evidence that matters to it. Reserve room for the answer within the working context and preserve completed decisions for later turns. A useful Sonnet 4 artifact leaves the analysis or proposed change with its source references and validation, allowing the next step to continue from an inspectable result. **Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `claude-sonnet-4-20250514-thinking` [`claude-sonnet-4-20250514-thinking`](https://ailoot.ai/models/en/#m=claude-sonnet-4-20250514-thinking&route=Ultra&caller=claude-sonnet-4-20250514-thinking&fmt=chat) Anthropic /`claude-sonnet-4-20250514-thinking` ### Overview Claude Sonnet 4 is Anthropic’s model for coding and reasoning with text, image and file input. Its published profile includes tools and reasoning controls, a 200,000-token context window and up to 64,000 completion tokens. 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-4-20250514-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-4-20250514-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-4-20250514-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-4-20250514-thinking`](https://ailoot.ai/models/en/#m=claude-sonnet-4-20250514-thinking&route=Ultra&caller=claude-sonnet-4-20250514-thinking&fmt=chat) #### Method path aliases `/chat/completions` #### Related caller IDs [`claude-sonnet-4-20250514-thinking`](https://ailoot.ai/models/en/#m=claude-sonnet-4-20250514-thinking&route=Ultra&caller=claude-sonnet-4-20250514-thinking&fmt=chat) FAQ · Anthropic: Claude Sonnet 4 What inputs and results are available? `POST /v1/chat/completions` · `claude-sonnet-4-20250514-thinking`: `text` → `text` Which fields does the request use? `POST /v1/chat/completions` · `claude-sonnet-4-20250514-thinking`: `model`, `messages`, `stream` What limits apply? `POST /v1/chat/completions` · `claude-sonnet-4-20250514-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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