Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen2.5-1M is clearly ahead on the aggregate, 67 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen2.5-1M's sharpest advantage is in agentic, where it averages 64.7 against 61.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 61.7% to 65%.
Composer 2 is also the more expensive model on tokens at $0.50 input / $2.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen2.5-1M. That is roughly Infinityx on output cost alone. Composer 2 is the reasoning model in the pair, while Qwen2.5-1M 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. Qwen2.5-1M gives you the larger context window at 1M, compared with 200K for Composer 2.
Pick Qwen2.5-1M if you want the stronger benchmark profile. Composer 2 only becomes the better choice if you want the stronger reasoning-first profile.
Composer 2
61.7
Qwen2.5-1M
64.7
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.
Qwen2.5-1M is ahead overall, 67 to 62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 61.7% and 65%.
Qwen2.5-1M has the edge for agentic tasks in this comparison, averaging 64.7 versus 61.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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