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Anthropic

Claude Opus 5.5

Claude Opus 5.5 is a Anthropic model with 1M context, $4 in / $20 out per million tokens, last verified September 26, 2026. Open weights: no. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.

Claude Opus 5.5 is Anthropic's default model for agentic coding and knowledge work — Anthropic says it performs near Fable 5.1 on most work at about 40% lower running cost than Opus 5, and it leads the Artificial Analysis Intelligence Index v4.3.2.

Catalog record checked September 26, 2026Individual provider fields may change

AI model specification details
SpecificationClaude Opus 5.5
ProviderAnthropic
TierFrontier
Context window1M
Max output128K
Input / 1M tokens$4
Output / 1M tokens$20
WeightsClosed
ParametersNot disclosed
Reasoning levelsadaptive
Modalitiestext, image
API model idclaude-opus-5-5
ReleasedSeptember 22, 2026

Pricing tiers: $4/$20 per MTok, no long-context surcharge. Cache reads $0.20; 5-minute cache writes $5, 1-hour writes $8. Batch $2/$10; Fast mode $8/$40. Batches API allows 300K output with the output-300k-2026-03-24 beta header. Knowledge cutoff Jun 2026; retirement not before 2027-09-22.

Verified evidence

Published benchmark results

Each result keeps its source and measurement date visible. A missing benchmark is not treated as a zero.

Published benchmark results for Claude Opus 5.5
BenchmarkScoreMeasuredSource
Artificial Analysis Intelligence Index [max]57.62026-09-26Artificial Analysis · View source
Humanity's Last Exam [max]61.42026-09-26Artificial Analysis Humanity's Last Exam (independent, 2,158 text-only questions) · View source
Terminal-Bench 4.0 [max]59.62026-09-26Artificial Analysis Terminal-Bench 4.0 (independent AA run, part of Intelligence Index v4.3.2) · View source
Terminal-Bench 4.0 [xhigh]66.42026-09-22Anthropic — Claude Opus 5.5 announcement (vendor; conflicts with AA's independent 59.6 — harness difference preserved) · View source

Best for

  • Complex agentic coding
  • Enterprise knowledge work
  • Default frontier model

Watch out

Breaking changes from Opus 5: adaptive thinking cannot be disabled (effort runs low to max, default medium) and forced tool use returns an error. Verbose at max effort, so cap output on cost-sensitive routes.

History

Claude Opus 5.5 timeline

Release and status events for this model that passed two-source verification — dated, sourced, and linked.

  • Claude Opus 5.5ReleaseSeptember 22, 2026

    Anthropic ships Claude Opus 5.5 at $4/$20 per MTok (cheaper than Opus 5's $5/$25) with a 1M-token context, and its docs now say to start new work with it. It leads the Artificial Analysis Intelligence Index v4.3.2 (57.6) and CursorBench 4.0 (57.8% at Max effort).

    Anthropic — Claude Opus 5.5

Source receipts

Catalog figures for this model were checked against the following sources.

Common questions

Claude Opus 5.5

Answered from the verified figures on this page rather than general guidance.

How much does Claude Opus 5.5 cost per million tokens?
Claude Opus 5.5 is listed at $4 per million input tokens and $20 per million output tokens at standard rates. Output tokens usually dominate real bills, so weigh the output rate more heavily than the input rate. $4/$20 per MTok, no long-context surcharge. Cache reads $0.20; 5-minute cache writes $5, 1-hour writes $8. Batch $2/$10; Fast mode $8/$40. Batches API allows 300K output with the output-300k-2026-03-24 beta header. Knowledge cutoff Jun 2026; retirement not before 2027-09-22.
What is Claude Opus 5.5's context window?
Claude Opus 5.5 accepts about 1M tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.
What is Claude Opus 5.5 best for?
Claude Opus 5.5 is a frontier tier from Anthropic. It suits complex agentic coding, enterprise knowledge work, default frontier model. Breaking changes from Opus 5: adaptive thinking cannot be disabled (effort runs low to max, default medium) and forced tool use returns an error. Verbose at max effort, so cap output on cost-sensitive routes.

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