Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mercury 2 is clearly ahead on the aggregate, 65 to 48. 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 agentic, where it averages 63.7 against 41.1. The single biggest benchmark swing on the page is OSWorld-Verified, 62 to 38.
Mercury 2 is the reasoning model in the pair, while Mistral 8x7B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Mercury 2 gives you the larger context window at 128K, compared with 32K for Mistral 8x7B.
Pick Mercury 2 if you want the stronger benchmark profile. Mistral 8x7B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Mercury 2
63.7
Mistral 8x7B
41.1
Mercury 2
41.1
Mistral 8x7B
25.8
Mercury 2
68.3
Mistral 8x7B
48.3
Mercury 2
80.1
Mistral 8x7B
60.3
Mercury 2
57.2
Mistral 8x7B
48.4
Mercury 2
84
Mistral 8x7B
78
Mercury 2
79.7
Mistral 8x7B
72.1
Mercury 2
80.9
Mistral 8x7B
68.1
Mercury 2 is ahead overall, 65 to 48. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 62 and 38.
Mercury 2 has the edge for knowledge tasks in this comparison, averaging 57.2 versus 48.4. 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 25.8. 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 68.1. 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 60.3. Inside this category, MRCRv2 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 41.1. Inside this category, OSWorld-Verified 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 48.3. 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 78. 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 72.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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