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Claude Sonnet 5vsClaude Sonnet 4.6

Across 5 shared benchmarks, Claude Sonnet 5 leads overall: Claude Sonnet 5 wins 5, Claude Sonnet 4.6 wins 0, with 0 ties and an average score difference of +11.34.

Anthropic
Claude Sonnet 5

Anthropic · 2026-06-30 · Multimodal model

Anthropic
Claude Sonnet 4.6

Anthropic · 2026-02-17 · Chat model

Claude Sonnet 55 wins(100%)(0%)0 winsClaude Sonnet 4.6

Benchmark scores

Grouped by capability, sorted by largest gap within each. 5 shared benchmarks.

Coding and Software Engineer

Claude Sonnet 5 2/2
BenchmarkClaude Sonnet 5Claude Sonnet 4.6Diff
DeepSWE547 / 16Deep Thinking (With Tools)3014 / 16Thinking High (With Tools)+24
SWE-bench Verified85.206 / 109极高强度思考(工具)79.6017 / 109+5.60

AI Agent - Information Search

Claude Sonnet 5 1/1
BenchmarkClaude Sonnet 5Claude Sonnet 4.6Diff
BrowseComp84.705 / 49Thinking (With Tools + Internet)74.7023 / 49+10

AI Agent - Tool Usage

Claude Sonnet 5 1/1
BenchmarkClaude Sonnet 5Claude Sonnet 4.6Diff
OSWorld-Verified81.203 / 20极高强度思考(工具)72.5012 / 20+8.70

General Knowledge

Claude Sonnet 5 1/1
BenchmarkClaude Sonnet 5Claude Sonnet 4.6Diff
HLE57.407 / 164极高强度思考(工具)4929 / 164+8.40

Specs

FieldClaude Sonnet 5Claude Sonnet 4.6
PublisherAnthropicAnthropic
Release date2026-06-302026-02-17
Model typeMultimodal modelChat model
ArchitectureDenseDense
ParametersNot availableNot available
Context length1M1M
Max output128K8K

API pricing

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

ItemClaude Sonnet 5Claude Sonnet 4.6
Text input$2 / 1M tokens$3 / 1M tokens
Text output$10 / 1M tokens$15 / 1M tokens
Cache read$0.3 / 1M tokens$0.3 / 1M tokens
Cache write$3.75 / 1M tokens$3.75 / 1M tokens

Summary

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

On average across the 5 shared benchmarks, Claude Sonnet 5 scores 11.34 higher.

Largest single-benchmark gap: DeepSWE — Claude Sonnet 5 54 vs Claude Sonnet 4.6 30 (+24).

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