Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen3 235B 2507 (Reasoning) is clearly ahead on the aggregate, 42 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3 235B 2507 (Reasoning)'s sharpest advantage is in coding, where it averages 22.8 against 8.2. The single biggest benchmark swing on the page is SWE-bench Pro, 29 to 7. LFM2.5-1.2B-Thinking 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 (Reasoning) gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Thinking.
Pick Qwen3 235B 2507 (Reasoning) if you want the stronger benchmark profile. LFM2.5-1.2B-Thinking only becomes the better choice if instruction following is the priority.
Qwen3 235B 2507 (Reasoning)
45.9
LFM2.5-1.2B-Thinking
34.1
Qwen3 235B 2507 (Reasoning)
22.8
LFM2.5-1.2B-Thinking
8.2
Qwen3 235B 2507 (Reasoning)
42.1
LFM2.5-1.2B-Thinking
32.4
Qwen3 235B 2507 (Reasoning)
49
LFM2.5-1.2B-Thinking
38.4
Qwen3 235B 2507 (Reasoning)
34.1
LFM2.5-1.2B-Thinking
27
Qwen3 235B 2507 (Reasoning)
68
LFM2.5-1.2B-Thinking
72
Qwen3 235B 2507 (Reasoning)
58.8
LFM2.5-1.2B-Thinking
60.7
Qwen3 235B 2507 (Reasoning)
48.5
LFM2.5-1.2B-Thinking
42.3
Qwen3 235B 2507 (Reasoning) is ahead overall, 42 to 33. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 29 and 7.
Qwen3 235B 2507 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 34.1 versus 27. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 (Reasoning) has the edge for coding in this comparison, averaging 22.8 versus 8.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 (Reasoning) has the edge for math in this comparison, averaging 48.5 versus 42.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 (Reasoning) has the edge for reasoning in this comparison, averaging 49 versus 38.4. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 (Reasoning) has the edge for agentic tasks in this comparison, averaging 45.9 versus 34.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 42.1 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Thinking has the edge for instruction following in this comparison, averaging 72 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Thinking has the edge for multilingual tasks in this comparison, averaging 60.7 versus 58.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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