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 38. 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 coding, where it averages 52.8 against 18. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 73 to 30.
DeepSeek Coder 2.0 is also the more expensive model on tokens at $0.27 input / $1.10 output per 1M tokens, versus $0.03 input / $0.12 output per 1M tokens for LFM2-24B-A2B. That is roughly 9.2x on output cost alone. DeepSeek Coder 2.0 gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Pick DeepSeek Coder 2.0 if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if you want the cheaper token bill.
DeepSeek Coder 2.0
67.5
LFM2-24B-A2B
33.4
DeepSeek Coder 2.0
52.8
LFM2-24B-A2B
18
DeepSeek Coder 2.0
58.6
LFM2-24B-A2B
41.7
DeepSeek Coder 2.0
75.5
LFM2-24B-A2B
46.6
DeepSeek Coder 2.0
59.6
LFM2-24B-A2B
35.6
DeepSeek Coder 2.0
86
LFM2-24B-A2B
68
DeepSeek Coder 2.0
79.8
LFM2-24B-A2B
61.4
DeepSeek Coder 2.0
80.5
LFM2-24B-A2B
50.4
DeepSeek Coder 2.0 is ahead overall, 66 to 38. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 73 and 30.
DeepSeek Coder 2.0 has the edge for knowledge tasks in this comparison, averaging 59.6 versus 35.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for coding in this comparison, averaging 52.8 versus 18. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for math in this comparison, averaging 80.5 versus 50.4. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for reasoning in this comparison, averaging 75.5 versus 46.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for agentic tasks in this comparison, averaging 67.5 versus 33.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for multimodal and grounded tasks in this comparison, averaging 58.6 versus 41.7. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for instruction following in this comparison, averaging 86 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for multilingual tasks in this comparison, averaging 79.8 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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