Codesota · Models · Claude Sonnet 4.6Anthropic13 results · 5 benchmarks
Model card

Claude Sonnet 4.6.

Anthropicapi2 current SOTA

Imported from https://raw.githubusercontent.com/GAIR-NLP/AcademiClaw/main/README.md

§ 02 · Benchmarks

Every benchmark Claude Sonnet 4.6 has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01AcademiClawAgentic AI · Task agentspass55.0%#1/62026-05-04source ↗
02AcademiClawAgentic AI · Task agentssafety-score88.7%#1/62026-05-04source ↗
03AcademiClawAgentic AI · Task agentsavg-score68.3%#2/62026-05-04source ↗
04AcademiClawAgentic AI · Task agentsavg-tokens-per-task-k1562.00#3/62026-05-04source ↗
05AcademiClawAgentic AI · Task agentsavg-time-sec662.00#4/52026-05-04source ↗
06AcademiClawAgentic AI · Task agentstool-calls-per-task26.0%#4/62026-05-04source ↗
07React Native EvalsMobile Development · React Native Code Generationasync-state-satisfaction80.8%#5/10—source ↗
08React Native EvalsMobile Development · React Native Code Generationnavigation-satisfaction93.3%#5/10—source ↗
09React Native EvalsMobile Development · React Native Code Generationanimation-satisfaction65.1%#5/10—source ↗
10GPQA DiamondReasoning · Multi-step Reasoningaccuracy89.9%#6/74—source ↗
11React Native EvalsMobile Development · React Native Code Generationrequirement-satisfaction77.9%#6/10—source ↗
12HumanEvalComputer Code · Code Generationpass@194.1%#7/422026-01-01source ↗
13HLEReasoning · Multi-step Reasoningaccuracy13.2%#46/74—source ↗
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area

Where Claude Sonnet 4.6 actually performs.

Agentic AI
1
benchmark
avg rank #2.5 · 2 SOTA
Mobile Development
1
benchmark
avg rank #5.3
Computer Code
1
benchmark
avg rank #7.0
Reasoning
2
benchmarks
avg rank #26.0
§ 04 · Papers

1 paper with results for Claude Sonnet 4.6.

  1. 2026-05-04· Agentic AI· 6 results

    AcademiClaw: When Students Set Challenges for AI Agents

    Junjie Yu, Pengrui Lu, Weiye Si, Hongliang Lu et al.
§ 05 · Related models

Other Anthropic models scored on Codesota.

Claude Opus 4
Undisclosed params · 14 results · 2 SOTA
Claude Sonnet 5
Undisclosed params · 2 results · 2 SOTA
Claude Sonnet 4
11 results · 1 SOTA
Claude Opus 4.5
4 results · 1 SOTA
Claude Opus 4.7
2 results · 1 SOTA
Claude Mythos Preview
1 result · 1 SOTA
Claude 3.5 Sonnet
Undisclosed params · 28 results
Claude Opus 4.5
Undisclosed params · 12 results
§ 06 · Sources & freshness

Where these numbers come from.

paper
6
results
Callstack Incubator
4
results
anthropic-sonnet-4-6-system-card
1
result
shadow-page-humaneval
1
result
pricepertoken-leaderboard
1
result
11 of 13 rows marked verified. · first result 2026-01-01, latest 2026-05-04.