Claude Sonnet 5.5
anthropic/claude-sonnet-5-5
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Claude Sonnet 5.5

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anthropic/claude-sonnet-5-5Released Sep 28, 2026

The second model in Anthropic's Claude 5.5 family, positioned as its best combination of speed and intelligence and a faster complement to Claude Opus 5.5. Anthropic describes it as strongest at well-scoped everyday tasks, bug fixing, and polished documents, slides and spreadsheets, and reports output more than 30% faster than Sonnet 5. Adaptive thinking is on by default at high effort; thinking can no longer be set to disabled, and forced tool choice is rejected.

Modalities
TextImageText
Context
1M
Max output
128K
Price / 1M tokens
$ 2.00in$ 10.00out
StreamingTool callingJSON outputImage inputThinking mode

What this model is good at

What the vendor positions it for, and which of our models to reach for instead.

VendorThe best combination of speed and intelligence.source

Best for
  • Agentic coding · Anthropic reports 70.6% on Terminal-Bench 4.0 against 10.3% for Claude Sonnet 5, and a CursorBench 4.0 score within about two points of Claude Opus 5.5.(vendor claim)source

  • Documents, slides and spreadsheets · Anthropic reports 1844 on GDPval-AA v2.1, two points below Claude Opus 5.5, and highlights decks and documents that need minimal editing.(vendor claim)source

  • Charts and computer use · Anthropic reports it close to Claude Opus 5.5 on Chartography and OSWorld 2.1, far ahead of Claude Sonnet 5 on both.(vendor claim)source

Neighbouring models
  • anthropic/claude-opus-5-5stronger —Anthropic states Claude Opus 5.5 remains clearly stronger at complex, open-ended work that needs sustained judgment.(vendor claim)source
  • anthropic/claude-sonnet-5predecessor —Claude Sonnet 5 still accepts thinking disabled and forced tool choice, both of which return a 400 on this model.source
  • anthropic/claude-haiku-5-5cheaper —Claude Haiku 5.5 is cheaper and faster again for short, latency-bound calls.
Compare them side by side →

Pricing and billing

Billed per token. Cached input is charged at the cache-read rate.

Price / 1M tokensYou pay
Input$ 2.00
Output$ 10.00
Cache read$ 0.10
Cache write$ 2.50
Estimate a request
$ 0.0400
Estimated cost per request
10.0K × $ 2.00
+ 2.0K × $ 10.00
≈ $ 40.00 per 1,000 requests

Capabilities and limits

What CrossModel guarantees across every route this model can take right now.

Context window
1.0M tokens
Max output
128.0K tokens
Input / output modalities
Text + Image → Text
Streaming
Supported
Tool calling
Supported
Structured output (JSON)
Supported
Image input
Supported
Thinking mode
Supported· always on
Reasoning effort
low · medium · high · xhigh · max
Available endpoints
/v1/chat/completions · /v1/responses · /v1/messages
Conditional limitsDisclosed by the vendor. These do not make the capability unavailable — they say when it is not.
  • reasoning.toggle is unavailable when source
  • tool_use.forced_choice is unavailable when source

Published benchmarks

Scores the vendor reported, with the evaluation setup each one came from.

Agentic coding
  • CursorBench 4.0
    score·Anthropic · 2026-09-28effort maxsetup not fully disclosed

    Measured and reported by Cursor in its production agent harness. Anthropic reports 53.1% at xhigh, 47.8% at high and 39.2% at medium. Same table: Claude Opus 5.5 57.8%, Claude Sonnet 5 34.1%.

    55.5%
  • FrontierCode v1.1 (Main)
    score·Anthropic · 2026-09-28effort maxClaude Codesetup not fully disclosed

    Run and reported by Cognition in Claude Code. At xhigh effort Anthropic reports 52.1%: the grader penalises out-of-scope edits, and at max the model more often ran a multi-subagent code review that led to timeouts or extra edits. Same table: Claude Opus 5.5 54.4%, Claude Sonnet 5 42.4%.

    46.2%
  • Terminal-Bench 4.0
    pass_rate·Anthropic · 2026-09-28effort maxClaude Codesetup not fully disclosed

    Claude Code in --bare mode, five trials per task, no internet egress; standard error ±2.5 pts. Run with safeguards on: 1.2% of requests were answered by a fallback model, affecting 1.5% of trials. Same table: Claude Opus 5.5 66.4% (at xhigh), Claude Sonnet 5 10.3%.

    70.6%
Coding
  • SWE-Bench Pro
    resolved_rate·Anthropic · 2026-09-28effort maxsetup not fully disclosed

    From the system card's capability summary; average over five trials. The same table rates Claude Opus 5.5 at 89.9% and Claude Sonnet 5 at 63.2%.

    81.3%
Computer use
  • OSWorld 2.1 (partial credit)
    score·Anthropic · 2026-09-28effort maxsetup not fully disclosed

    Mean per-task checkpoint credit, Pass@1 averaged over five runs, 1080p, up to 500 action steps, task files of 2026-09-10 (v2.1); strict pass rate 43.5%. Same configuration and table: Claude Opus 5.5 81.8%, Claude Sonnet 5 57.0%.

    80.1%
Knowledge work
  • AA-Briefcase v1.1
    score·Anthropic · 2026-09-28effort maxsetup not fully disclosed

    Artificial Analysis long-horizon knowledge-work rating, not a percentage. Run on the same pre-release deployment as GDPval-AA. Same table: Claude Opus 5.5 1822, Claude Sonnet 5 1359. At xhigh effort Anthropic reports 1746.

    1811
  • GDPval-AA v2.1
    elo·Anthropic · 2026-09-28effort maxsetup not fully disclosed

    Run by Artificial Analysis on a pre-release deployment that Anthropic says had a since-fixed bug degrading structured-output requests. Elo is relative to the field; same table: Claude Opus 5.5 1846, Claude Sonnet 5 1449. At xhigh effort Anthropic reports 1725.

    1844
Multimodal reasoning
  • Chartography (no tools)
    score·Anthropic · 2026-09-28effort maxsetup not fully disclosed

    Five runs, graded by Gemini 3.5 Flash following the Surge AI leaderboard. With tools Anthropic reports 90.2%. Same table: Claude Opus 5.5 64.4%, Claude Sonnet 5 15.6%.

    61.6%
Reasoning
  • Humanity's Last Exam
    accuracy·Anthropic · 2026-09-28effort maxsetup not fully disclosed

    No tools, 980k-token task budget. From the system card's capability summary; the same table rates Claude Opus 5.5 at 64.4% and Claude Sonnet 5 at 43.1%.

    56.9%
  • Humanity's Last Exam (with tools)
    accuracy·Anthropic · 2026-09-28effort maxsetup not fully disclosed

    Tools were web search, web fetch, programmatic tool calling and code execution, with a 980k-token task budget and HLE-discussing sources blocklisted. Same table: Claude Opus 5.5 67.7%, Claude Sonnet 5 54.9%.

    64.5%

Vendor-reported numbers, not CrossModel measurements. Scores are only comparable when the benchmark version, metric and evaluation setup match, so nothing here is averaged or ranked.

Use it in your tools

Point the base URL at CrossModel and paste this model ID — every tool below has a setup guide.

See all integration guides →

Frequently asked questions

What is Claude Sonnet 5.5?
Claude Sonnet 5.5 is available on CrossModel as anthropic/claude-sonnet-5-5. It has a 1M-token context window and can return up to 128K tokens per request.
How much does Claude Sonnet 5.5 cost?
Currently $ 2.00 per 1M input tokens and $ 10.00 per 1M output tokens. Cached input is billed at $ 0.10 per 1M.
Does Claude Sonnet 5.5 support tool calling and structured output?
Tool calling: Supported · Structured output (JSON): Supported · Image input: Supported · Streaming: Supported · Thinking mode: Supported
Which endpoint do I call?
For text models, OpenAI Chat Completions (/v1/chat/completions), OpenAI Responses (/v1/responses) and Anthropic Messages (/v1/messages) all work — pick whichever your SDK already speaks.
Can I try it without writing code?
Yes. Sign in and open the Playground on this page to chat with the model directly — no API key needed. Usage is billed from your wallet at the normal rate.

Chat first, integrate later

Chat first, then wire it in once you like the answers.