Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek Coder 2.0 is clearly ahead on the aggregate, 66 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek Coder 2.0's sharpest advantage is in agentic, where it averages 67.5 against 61.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 61.7% to 73%.
Composer 2 is also the more expensive model on tokens at $0.50 input / $2.50 output per 1M tokens, versus $0.27 input / $1.10 output per 1M tokens for DeepSeek Coder 2.0. That is roughly 2.3x on output cost alone. Composer 2 is the reasoning model in the pair, while DeepSeek Coder 2.0 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. Composer 2 gives you the larger context window at 200K, compared with 128K for DeepSeek Coder 2.0.
Pick DeepSeek Coder 2.0 if you want the stronger benchmark profile. Composer 2 only becomes the better choice if you need the larger 200K context window or you want the stronger reasoning-first profile.
Composer 2
61.7
DeepSeek Coder 2.0
67.5
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.
DeepSeek Coder 2.0 is ahead overall, 66 to 62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 61.7% and 73%.
DeepSeek Coder 2.0 has the edge for agentic tasks in this comparison, averaging 67.5 versus 61.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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