Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mercury 2 is clearly ahead on the aggregate, 65 to 42. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mercury 2's sharpest advantage is in mathematics, where it averages 80.9 against 48.5. The single biggest benchmark swing on the page is MuSR, 82 to 36.
Pick Mercury 2 if you want the stronger benchmark profile. Qwen3 235B 2507 (Reasoning) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Mercury 2
63.7
Qwen3 235B 2507 (Reasoning)
45.9
Mercury 2
41.1
Qwen3 235B 2507 (Reasoning)
22.8
Mercury 2
68.3
Qwen3 235B 2507 (Reasoning)
42.1
Mercury 2
80.1
Qwen3 235B 2507 (Reasoning)
49
Mercury 2
57.2
Qwen3 235B 2507 (Reasoning)
34.1
Mercury 2
84
Qwen3 235B 2507 (Reasoning)
68
Mercury 2
79.7
Qwen3 235B 2507 (Reasoning)
58.8
Mercury 2
80.9
Qwen3 235B 2507 (Reasoning)
48.5
Mercury 2 is ahead overall, 65 to 42. The biggest single separator in this matchup is MuSR, where the scores are 82 and 36.
Mercury 2 has the edge for knowledge tasks in this comparison, averaging 57.2 versus 34.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for coding in this comparison, averaging 41.1 versus 22.8. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for math in this comparison, averaging 80.9 versus 48.5. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for reasoning in this comparison, averaging 80.1 versus 49. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for agentic tasks in this comparison, averaging 63.7 versus 45.9. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for multimodal and grounded tasks in this comparison, averaging 68.3 versus 42.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for instruction following in this comparison, averaging 84 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for multilingual tasks in this comparison, averaging 79.7 versus 58.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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