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Anthropic's instruct-tuned Claude Sonnet 4.5 — built for agentic coding, computer-use, and long-context reasoning via the Claude API.
Overview. Claude Sonnet 4.5 is Anthropic's instruct-tuned mid-tier model in the Claude Sonnet 4 family, released 29 September 2025 and accessed through the Claude API. It sits between Anthropic's lighter Haiku models and its flagship Opus tier, and it's built specifically for agentic coding, computer-use, and long-context reasoning workflows. Developers reach for it when they need a model that can drive multi-step tool loops rather than just answer single-turn questions.
Key strengths. Sonnet 4.5's headline signal is agentic capability: it scored 61.4% on the OSWorld computer-use benchmark at launch, reflecting genuine competence at interpreting screenshots and operating software autonomously. It supports tool calling with multiple tool_use blocks per turn, native prompt caching, and a 200,000-token context window, which together suit sustained coding and document-heavy agent loops. Domain-wise, it's strongest on code and agentic tasks, with solid general writing and communication performance.
When to use it. Use Sonnet 4.5 for agentic coding assistants, computer-use automation, and tasks that require holding large amounts of context — long documents, multi-file codebases, or extended tool-use transcripts — within a single 200,000-token window. Its interactive latency profile and parallel tool-calling support make it a good fit for conversational agent loops rather than pure batch processing. Extended-thinking traces are available as an opt-in mode if a task benefits from visible step-by-step reasoning, but the model defaults to direct instruct-style responses.
Limitations. Context is capped at 200,000 tokens — the earlier 1M-token beta was retired — and output generation is capped at 64,000 tokens per response. The model accepts text and image input only; it does not process or generate audio, and Anthropic has not disclosed its parameter count, architecture, or training-data cutoff. Anthropic now also offers the newer Sonnet 4.6 within the same family, so teams starting new agentic-reasoning work may want to evaluate that variant alongside this one.
Sovereignty note. Claude Sonnet 4.5 is built by Anthropic, a US-based creator, and carries CLOUD Act exposure — relevant for teams with strict data-residency requirements. It's a closed-weights, proprietary model served over Anthropic's own API rather than deployed on Sovereign infrastructure.
| Inference Provider | Sovereignty | Runs in | In / out per 1M | Status | Pin |
|---|---|---|---|---|---|
| L0 | €2.72 / 13.61+2 rates | Online |
19 use cases classified by the curator. The note says why.
Explicitly built for agentic coding and computer-use; tool-calling + extended-thinking + 200K context support long, multi-turn code-generation sessions.
Curated description names computer-use as a core design target, positioning this variant well for browser/UI automation agents.
Extended-thinking mode supports the step-by-step reasoning needed for root-cause bug diagnosis in agentic coding contexts.
Agentic coding orientation with 200K context handles full-file/multi-file review workloads competently.
Tool-calling support and instruct-tuning for agentic use directly target structured function-calling application patterns.
Extended-thinking mode plus agentic coding focus supports multi-step plan decomposition and execution tracking.
General instruct-coding capability applies, though the model's positioning emphasizes agentic workflows over raw completion latency.
Instruct-tuned reasoning with extended-thinking supports clear code explanation, consistent with its coding-focused design.
200K context and extended-thinking support document Q&A, though not the family's largest-context variant (Sonnet 4.6 offers 1M).
Vision capability confirmed on this variant, supporting general image question-answering tasks.
200K context window and coding focus support refactoring across moderately large codebases.
Extended-thinking mode aids multi-source synthesis within its 200K context budget.
No speech-synthesis capability is listed for this text/vision model.
No audio input/output capability is listed for this model; it lacks the modality required for transcription.
No audio generation capability documented; unsuited to voice cloning tasks.
Sourced numbers, not our own evaluations. Percentiles are against the whole Stav catalogue.
Computed from aa-intelligence-index, gpqa-diamond, aa-engineering-index, aa-coding-index, livecodebench, terminal-bench-v4, ifbench, aa-multilingual-index, aa-lcr, helm-safety-bbq, helm-safety-harm-bench, helm-safety-anthropic-red-team, helm-safety-simple-safety-tests, helm-safety-xstest, do-not-answer, realtoxicityprompts.
curl https://api.stav.ai/v1/chat/completions \
-H "Authorization: Bearer $STAV_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "anthropic/claude-sonnet-4-5-20250929",
"reasoning_effort": "high",
"messages": [{"role": "user", "content": "Hello!"}]
}'→ X-Stav-Request-Id · X-Stav-Model · X-Stav-Provider → X-Stav-Sovereignty-Level — the rung the request was served at