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Claude Opus 5vsOpus 4.7

Across 7 shared benchmarks, Claude Opus 5 leads overall: Claude Opus 5 wins 7, Opus 4.7 wins 0, with 0 ties and an average score difference of +13.37.

Anthropic
Claude Opus 5

Anthropic · 2026-07-24 · Reasoning model

Anthropic
Opus 4.7

Anthropic · 2026-04-16 · Reasoning model

Claude Opus 57 wins(100%)(0%)0 winsOpus 4.7

Benchmark scores

Grouped by capability, sorted by largest gap within each. 7 shared benchmarks.

General Knowledge

Claude Opus 5 4/4
BenchmarkClaude Opus 5Opus 4.7Diff
ARC-AGI-330.201 / 9Thinking High (No Tools)08 / 9Thinking High (No Tools)+30.20
ARC-AGI-290.401 / 62最高(无工具)75.8011 / 62最高(无工具)+14.60
HLE64.701 / 172Max (With Tools)54.7013 / 172Extended (with tools)+10
ARC-AGI97.501 / 68极高强度思考(无工具)93.5011 / 68Thinking High (No Tools)+4

Coding and Software Engineer

Claude Opus 5 2/2
BenchmarkClaude Opus 5Opus 4.7Diff
SWE-Bench Pro - Public79.202 / 54Max (With Tools)64.307 / 54Extended (with tools)+14.90
SWE-bench Verified961 / 112Max (With Tools)87.606 / 112Extended (with tools)+8.40

AI Agent - Information Search

Claude Opus 5 1/1
BenchmarkClaude Opus 5Opus 4.7Diff
BrowseComp90.802 / 53Max (With Tools + Internet)79.3017 / 53Extended (with tools)+11.50

Specs

FieldClaude Opus 5Opus 4.7
PublisherAnthropicAnthropic
Release date2026-07-242026-04-16
Model typeReasoning modelReasoning model
ArchitectureDenseDense
ParametersNot availableNot available
Context length1M1000K
Max output128K128K

API pricing

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

ItemClaude Opus 5Opus 4.7
Text input$5 / 1M tokens$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$6.25 / 1M tokens

Summary

  • Claude Opus 5leads in:General Knowledge (4/4), Coding and Software Engineer (2/2), AI Agent - Information Search (1/1)

On average across the 7 shared benchmarks, Claude Opus 5 scores 13.37 higher.

Largest single-benchmark gap: ARC-AGI-3 — Claude Opus 5 30.20 vs Opus 4.7 0 (+30.20).

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