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Anthropic launches Claude Opus 5.5, first of the Claude 5.5 family

Claude Opus 5.5 at a glance

Claude Opus 5.5 leads Anthropic's own coding, computer-use and knowledge-work tests at $4/$20 per million tokens, and ranks second on Artificial Analysis' Intelligence Index.

Current standing

As of

Rank
#2of 43 models

Claude Opus 5.5 (Max) · 59.1 on the Artificial Analysis Intelligence Index v5.0.1 (opens in a new tab)

Recorded at publication
59 (v5.0.1)

as of

Current leader
Gemini 4 Carbon (Google) · 60

Computed from our daily snapshot; it changes as new models are measured. Anthropic launches Claude Opus 5.5, first of the Claude 5.5 family

What changed with Claude Opus 5.5

Claude Opus 5.5 is available on the Claude Platform, Claude.ai plans, AWS, Google Cloud and Microsoft Azure as claude-opus-5-5, with a 1M-token context window. Anthropic reported 66.4% on Terminal-Bench 4.0 and 1846 Elo on GDPval-AA v2.1, ahead of both Fable 5.1 and Opus 5 in its table, while noting that benchmark gaps overstate real-world differences.

Price dropped to $4 input and $20 output per million tokens. Anthropic says it uses fewer tokens per task than Opus 5, writes output more than 30% faster, and resists prompt injection better. A fast mode of up to 2.5 times the speed costs $8/$40.

Claude Opus 5.5 benchmarks and pricing

Values are copied from the linked source on the date shown. They are not IA Compa measurements.

Artificial Analysis Intelligence Indexas of · Source for Artificial Analysis Intelligence Index: artificialanalysis.ai (opens in a new tab)
59 (v5.0.1)
Output speedas of · Source for Output speed: artificialanalysis.ai (opens in a new tab)
106 tokens/s
Input price per 1M tokensas of · Source for Input price per 1M tokens: anthropic.com (opens in a new tab)
$4.00
Output price per 1M tokensas of · Source for Output price per 1M tokens: anthropic.com (opens in a new tab)
$20.00

How it compares

Other models in the same category that we have covered, using each model's latest recorded value. (Models)

Intelligence indexhigher is better
Output speed (tokens/s)higher is better
Input price (USD per 1M tokens)lower is better
Output price (USD per 1M tokens)lower is better
Context window (tokens)higher is better

Claude Opus 5.5 reasoning effort

Artificial Analysis tests this model at several reasoning-effort settings. Higher effort usually scores higher but costs more and answers more slowly.

Claude Opus 5.5 by effort level

Higher effort lets the model think longer. Here is what each setting scores, how fast it writes, and what it costs on Artificial Analysis.

Intelligence Index · higher is better
Cost to run the index · lower is betterHover, tap or focus a point for exact numbers.
Claude Opus 5.5: Artificial Analysis results by reasoning effort
EffortIntelligence IndexOutput speed (tokens per second)Cost to run the indexBlended price (3:1) (per 1M tokens)Price in / out (per 1M tokens)First token
Max (Claude Opus 5.5 (max)) · Best: highest effort with a score, used in the leaderboard59106$8,910$8$4 / $20332 s
Extra high (Claude Opus 5.5 (xhigh))57107$4,766$8$4 / $2083 s
High (Claude Opus 5.5 (high))52108$2,716$8$4 / $2037 s
Medium (Claude Opus 5.5 (medium))48108$2,031$8$4 / $2020 s
Low (Claude Opus 5.5 (low))35106$980$8$4 / $206.4 s
Price: $4 / $20 per 1M input / output tokens at every effort.Artificial Analysis · as of Nov 5, 2026 (opens in a new tab)

Where to compare Claude Opus 5.5

Independent leaderboards and official resources for comparing this model yourself. Rankings change often; each site shows its own current data.

Why Claude Opus 5.5 matters for businesses

On Artificial Analysis' Intelligence Index v5.0.1, Opus 5.5 scores 59 and ranks #2, just behind Gemini 4 Carbon. For agencies, it is a strong default for coding agents and document-heavy automation at a lower price than the previous Opus.

Put it to work: AI Agents

Sources for this story

  1. Official
  2. Official
  3. Claude Opus 5.5 model page (opens in a new tab)

    Artificial Analysis · artificialanalysis.ai

    Benchmark

Last verified: . IA Compa summarizes public announcements for business readers. We are not affiliated with the companies mentioned. Always confirm details, pricing, and availability with the official source.

  • #llm
  • #anthropic
  • #claude
  • #coding
  • #agents
  • #computer-use

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