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Claude Opus 4.7

by Anthropic · Released Apr 2026

Multimodal1M Context
65.6
avg score
Rank #56
Compare
Better than 82% of all models
Context
1.0M tokens (~500 books)
Input $/1M
$5.00
Output $/1M
$25.00
Type
multimodal
License
Proprietary
Benchmarks
30 tested
Data as of
About

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

Tested on 30 benchmarks · BenchGecko score 65.6. Top scores: Chatbot Arena Elo — Coding (1555.3%), Chatbot Arena Elo — Overall (1494.1%), OTIS Mock AIME 2024-2025 (97.8%).

Looking for similar performance at lower cost?
Gemini 3.1 Pro Preview scores 65.0 (99% as good) at $2.00/1M input · 60% cheaper
Capabilities
coding
59.0
#52 globally
reasoning
74.5
#31 globally
math
53.3
#108 globally
knowledge
45.3
#166 globally
agentic
49.2
#21 globally
general
37.0
#84 globally
Benchmark Scores
Compare All
Tested on 30 benchmarks · Ranked across 7 categories
Score Distribution (all 312 models)
0255075100
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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.

83.5·
Terminal Bench

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

80.2·
WeirdML

Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.

76.4·
ARC-AGI

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

93.5·
ARC-AGI-2

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

75.8·
SimpleBench

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

54.0·
OTIS Mock AIME 2024-2025

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

97.8·
FrontierMath-2025-02-28-Private

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 Problems are unpublished and cannot be memorized.

43.8·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Recently Happened
Claude Opus 4.7 added
Apr 17, 2026
Links
Documentation
Community
BenchGecko API
claude-opus-4-7
Specifications
  • Typemultimodal
  • Context1.0M tokens (~500 books)
  • ReleasedApr 2026
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.035
Available On
Anthropic logoAnthropic$5.00
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Claude Opus 4.7 is a proprietary multimodal AI model by Anthropic, released in April 2026. It has an average benchmark score of 65.6. Context window: 1M tokens.

Key facts · as of 2026-10-05

  • Claude Opus 4.7 by Anthropic. BenchGecko score 65.6, rank 56 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 8 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 3 more. Every provider

How to cite · data as of 2026-10-05

Claude Opus 4.7 · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/claude-opus-4-7

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