Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Sonnet 4.6 is clearly ahead on the aggregate, 76 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in agentic, where it averages 68.3 against 61.7. The single biggest benchmark swing on the page is React Native Evals, 79.1% to 97.2%.
Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.50 input / $2.50 output per 1M tokens for Composer 2. That is roughly 6.0x on output cost alone. Composer 2 is the reasoning model in the pair, while Claude Sonnet 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Composer 2 only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Claude Sonnet 4.6
68.3
Composer 2
61.7
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Claude Sonnet 4.6 is ahead overall, 76 to 62. The biggest single separator in this matchup is React Native Evals, where the scores are 79.1% and 97.2%.
Claude Sonnet 4.6 has the edge for agentic tasks in this comparison, averaging 68.3 versus 61.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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