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ClosedAnthropic/10 trustVerified

Claude Opus 5.5

Anthropic's flagship general-purpose model, leading agentic coding benchmarks at 40% less cost than Opus 5.

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About

Claude Opus 5.5, released September 2026, is the first model in Anthropic's Claude 5.5 family and replaced Opus 5 as the default general-purpose model. Anthropic positions it at roughly Claude Fable 5.1 capability for most work at about 40% lower cost than Opus 5.

It uses an adjustable effort setting (default medium) and a 1M-token context window with no long-context surcharge.

Specs

Context window

1,000,000 tokens (128,000 max output); no long-context surcharge

Pricing

$4 input / $20 output per 1M tokens; cache reads $0.20 per 1M; batch $2/$10; fast mode $8/$40.

Free quota

No published API free tier; available on Claude paid plans and Claude Code.

API access

Anthropic API, Amazon Bedrock, Google Cloud Vertex AI, Microsoft Foundry

Weights

Closed — API only

Released

September 22, 2026

Benchmarks

Anthropic-reported:

  • Terminal-Bench 4.0: 66.4%
  • FrontierCode v1.1: 54.4%
  • GDPval-AA v2.1: 1846 Elo

Independent: Artificial Analysis Intelligence Index 58 — the highest measured there.

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

chatcodevisionreasoningautomationdata

Trust score — 8/10

/10 trustVerified

Established provider with transparent, detailed pricing and a well-documented migration story (breaking changes published). Benchmark leadership in agentic coding is corroborated by an independent evaluator (Artificial Analysis Index 58). Minor caveats: headline benchmarks are provider-reported at max effort, and the savings claim is measured at different effort settings.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
9.0/10
Maintenance · recency, releases, issue load
9.0/10
Openness · license + docs
5.1/10
Manual review · sanity read + red-flag check
9.0/10
  • · provider-tier estimate — thinner evidence (no public adoption metric)
  • · released 5 days ago
  • · manual review: max-effort benchmarks; agentic evals may flatter harness builders

Sources