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Claude Opus 4.6

by Anthropic · Released Feb 2026

Multimodal1M Context
66.4
avg score
Rank #51
Compare
Better than 84% of all models
Context
1.0M tokens (~500 books)
Input $/1M
$5.00
Output $/1M
$25.00
Type
multimodal
License
Proprietary
Benchmarks
40 tested
Data as of
About

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

Tested on 40 benchmarks · BenchGecko score 66.4. Top scores: Chatbot Arena Elo — Coding (1537.0%), Chatbot Arena Elo — Overall (1497.3%), MASK (96.3%).

Looking for similar performance at lower cost?
DeepSeek V4 Pro 0813 scores 66.8 (101% as good) at $0.55/1M input · 89% cheaper
Capabilities
coding
64.9
#32 globally
reasoning
74.8
#30 globally
math
50.2
#120 globally
knowledge
43.7
#174 globally
agentic
30.1
#38 globally
general
35.2
#103 globally
safety
96.3
#2 globally
Benchmark Scores
Compare All
Tested on 40 benchmarks · Ranked across 8 categories
Score Distribution (all 312 models)
0255075100
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Cybench

Capture-the-flag cybersecurity challenges. Tests vulnerability analysis, reverse engineering, cryptography, and exploitation skills.

93.0·
Terminal Bench

Complex terminal-based engineering tasks. Models must use command-line tools, navigate filesystems, and debug systems through shell interaction.

79.8·
SWE-Bench verified

Real-world software engineering tasks from GitHub issues. Models must diagnose bugs and write patches that pass test suites. Human-verified subset of SWE-bench.

78.7·
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

94.0·
ARC-AGI-2

ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.

69.2·
SimpleBench

Deceptively simple questions that humans find easy but AI models often get wrong. Tests common sense and reasoning gaps.

61.1·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

94.4·
FrontierMath-2025-02-28-Private

Original research-level math problems created by professional mathematicians. Problems are unpublished and cannot be memorized.

40.7·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
claude-opus-4-6
Specifications
  • Typemultimodal
  • Context1.0M tokens (~500 books)
  • ReleasedFeb 2026
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.035
Available On
Anthropic logoAnthropic$5.00
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Claude Opus 4.6 is a proprietary multimodal AI model by Anthropic, released in February 2026. It has an average benchmark score of 66.4. Context window: 1M tokens.

Key facts · as of 2026-10-05

  • Claude Opus 4.6 by Anthropic. BenchGecko score 66.4, rank 51 of 312 scored models (normalized average of public benchmark scores).
  • List price $5.00 input · $25.00 output per 1M tokens (as of 2026-10-05).
  • Sold by 6 providers (as of 2026-10-05): Amazon Bedrock $5.00 in / $25.00 out · Anthropic $5.00 in / $25.00 out · Azure $5.00 in / $25.00 out · Claude Platform on AWS $5.00 in / $25.00 out · Google $5.00 in / $25.00 out · and 1 more. Every provider

How to cite · data as of 2026-10-05

Claude Opus 4.6 · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/claude-opus-4-6

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP