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 36. 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 multimodal & grounded, where it averages 42.1 against 33.4. The single biggest benchmark swing on the page is SWE-bench Pro, 29 to 14. Ministral 3 8B (Reasoning) does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
Pick Qwen3 235B 2507 (Reasoning) if you want the stronger benchmark profile. Ministral 3 8B (Reasoning) only becomes the better choice if multilingual is the priority.
Qwen3 235B 2507 (Reasoning)
45.9
Ministral 3 8B (Reasoning)
38.5
Qwen3 235B 2507 (Reasoning)
22.8
Ministral 3 8B (Reasoning)
15.2
Qwen3 235B 2507 (Reasoning)
42.1
Ministral 3 8B (Reasoning)
33.4
Qwen3 235B 2507 (Reasoning)
49
Ministral 3 8B (Reasoning)
42.1
Qwen3 235B 2507 (Reasoning)
34.1
Ministral 3 8B (Reasoning)
30
Qwen3 235B 2507 (Reasoning)
68
Ministral 3 8B (Reasoning)
70
Qwen3 235B 2507 (Reasoning)
58.8
Ministral 3 8B (Reasoning)
61.7
Qwen3 235B 2507 (Reasoning)
48.5
Ministral 3 8B (Reasoning)
47.8
Qwen3 235B 2507 (Reasoning) is ahead overall, 42 to 36. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 29 and 14.
Qwen3 235B 2507 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 34.1 versus 30. 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 15.2. 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 47.8. 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 42.1. 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 38.5. 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 33.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for instruction following in this comparison, averaging 70 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for multilingual tasks in this comparison, averaging 61.7 versus 58.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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