Opus 4.7vsClaude Opus 4.6

Across 12 shared benchmarks, Opus 4.7 leads overall: Opus 4.7 wins 9, Claude Opus 4.6 wins 1, with 2 ties and an average score difference of +2.54.

Anthropic
Opus 4.7

Anthropic · 2026-04-16 · Reasoning model

Anthropic
Claude Opus 4.6

Anthropic · 2026-02-05 · Reasoning model

Opus 4.79 wins(75%)Ties2(8%)1 winClaude Opus 4.6

Benchmark scores

Grouped by capability, sorted by largest gap within each. 12 shared benchmarks.

General Knowledge

Opus 4.7 5/6
BenchmarkOpus 4.7Claude Opus 4.6Diff
ARC-AGI-275.809 / 59最高(无工具)66.3015 / 59Extended (no tools)+9.50
GPQA Diamond94.204 / 178Extended (no tools)91.3114 / 178Extended (no tools)+2.89
HLE54.708 / 157Extended (with tools)5311 / 157Extended (with tools, internet)+1.70
ARC-AGI93.509 / 65Thinking High (No Tools)9211 / 65Extended (no tools)+1.50
MMLU91.506 / 65Normal (No Tools)91.057 / 65Extended (no tools)+0.45
ARC-AGI-305 / 6Thinking High (No Tools)01 / 6最高(无工具)

AI Agent - Tool Usage

Opus 4.7 2/2
BenchmarkOpus 4.7Claude Opus 4.6Diff
OSWorld-Verified786 / 18Extended (with tools)72.709 / 18Extended (with tools)+5.30
Terminal Bench 2.069.406 / 46Extended (with tools)65.4011 / 46Extended (with tools)+4

Math and Reasoning

Opus 4.7 1/2
BenchmarkOpus 4.7Claude Opus 4.6Diff
FrontierMath43.806 / 60极高强度思考(无工具)40.707 / 60最高(无工具)+3.10
FrontierMath - Tier 422.9012 / 80极高强度思考(无工具)22.9012 / 80最高(无工具)

AI Agent - Information Search

Claude Opus 4.6 1/1
BenchmarkOpus 4.7Claude Opus 4.6Diff
BrowseComp79.3013 / 45Extended (with tools)847 / 45Thinking (With Tools + Internet)-4.70

Coding and Software Engineer

Opus 4.7 1/1
BenchmarkOpus 4.7Claude Opus 4.6Diff
SWE-bench Verified87.605 / 108Extended (with tools)80.849 / 108Extended (with tools)+6.76

Specs

FieldOpus 4.7Claude Opus 4.6
PublisherAnthropicAnthropic
Release date2026-04-162026-02-05
Model typeReasoning modelReasoning model
ArchitectureDenseDense
ParametersNot availableNot available
Context length1000K1000K
Max output128K64K

API pricing

Prices use DataLearner records when available; missing fields are not inferred.

ItemOpus 4.7Claude Opus 4.6
Text input$5 / 1M tokens$0.5 / 1M tokens
Text output$25 / 1M tokens$25 / 1M tokens
Cache read$0.5 / 1M tokens$0.5 / 1M tokens
Cache write$6.25 / 1M tokens$10 / 1M tokens

Summary

  • Opus 4.7leads in:General Knowledge (5/6), AI Agent - Tool Usage (2/2), Math and Reasoning (1/2), Coding and Software Engineer (1/1)
  • Claude Opus 4.6leads in:AI Agent - Information Search (1/1)

On average across the 12 shared benchmarks, Opus 4.7 scores 2.54 higher.

Largest single-benchmark gap: ARC-AGI-2 — Opus 4.7 75.80 vs Claude Opus 4.6 66.30 (+9.50).

Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.