Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
LFM2-24B-A2B finishes one point ahead overall, 38 to 37. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
LFM2-24B-A2B's sharpest advantage is in mathematics, where it averages 50.4 against 46.6. The single biggest benchmark swing on the page is HumanEval, 42 to 31. Qwen3 235B 2507 does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Qwen3 235B 2507 gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Pick LFM2-24B-A2B if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if instruction following is the priority or you need the larger 128K context window.
LFM2-24B-A2B
33.4
Qwen3 235B 2507
33.7
LFM2-24B-A2B
18
Qwen3 235B 2507
14.6
LFM2-24B-A2B
41.7
Qwen3 235B 2507
41.6
LFM2-24B-A2B
46.6
Qwen3 235B 2507
45.6
LFM2-24B-A2B
35.6
Qwen3 235B 2507
31.9
LFM2-24B-A2B
68
Qwen3 235B 2507
69
LFM2-24B-A2B
61.4
Qwen3 235B 2507
60.4
LFM2-24B-A2B
50.4
Qwen3 235B 2507
46.6
LFM2-24B-A2B is ahead overall, 38 to 37. The biggest single separator in this matchup is HumanEval, where the scores are 42 and 31.
LFM2-24B-A2B has the edge for knowledge tasks in this comparison, averaging 35.6 versus 31.9. Inside this category, MMLU is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for coding in this comparison, averaging 18 versus 14.6. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for math in this comparison, averaging 50.4 versus 46.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for reasoning in this comparison, averaging 46.6 versus 45.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 has the edge for agentic tasks in this comparison, averaging 33.7 versus 33.4. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for multimodal and grounded tasks in this comparison, averaging 41.7 versus 41.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 has the edge for instruction following in this comparison, averaging 69 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for multilingual tasks in this comparison, averaging 61.4 versus 60.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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