Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mercury 2 is clearly ahead on the aggregate, 65 to 54. 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 multimodal & grounded, where it averages 68.3 against 50.4. The single biggest benchmark swing on the page is MMMU-Pro, 66 to 40.
Mercury 2 is the reasoning model in the pair, while Grok Code Fast 1 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. Grok Code Fast 1 gives you the larger context window at 256K, compared with 128K for Mercury 2.
Pick Mercury 2 if you want the stronger benchmark profile. Grok Code Fast 1 only becomes the better choice if you need the larger 256K context window or you would rather avoid the extra latency and token burn of a reasoning model.
Mercury 2
63.7
Grok Code Fast 1
55.7
Mercury 2
41.1
Grok Code Fast 1
32.8
Mercury 2
68.3
Grok Code Fast 1
50.4
Mercury 2
80.1
Grok Code Fast 1
63.7
Mercury 2
57.2
Grok Code Fast 1
48
Mercury 2
84
Grok Code Fast 1
79
Mercury 2
79.7
Grok Code Fast 1
73.7
Mercury 2
80.9
Grok Code Fast 1
67.5
Mercury 2 is ahead overall, 65 to 54. The biggest single separator in this matchup is MMMU-Pro, where the scores are 66 and 40.
Mercury 2 has the edge for knowledge tasks in this comparison, averaging 57.2 versus 48. 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 32.8. 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 67.5. 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 63.7. 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 55.7. 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 50.4. 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 79. 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 73.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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