Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Grok 4 finishes one point ahead overall, 66 to 65. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Grok 4's sharpest advantage is in multimodal & grounded, where it averages 78.2 against 68.3. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 66. Mercury 2 does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Mercury 2 is the reasoning model in the pair, while Grok 4 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.
Pick Grok 4 if you want the stronger benchmark profile. Mercury 2 only becomes the better choice if agentic is the priority or you want the stronger reasoning-first profile.
Grok 4
58.1
Mercury 2
63.7
Grok 4
43.1
Mercury 2
41.1
Grok 4
78.2
Mercury 2
68.3
Grok 4
77.4
Mercury 2
80.1
Grok 4
63.8
Mercury 2
57.2
Grok 4
82
Mercury 2
84
Grok 4
80.8
Mercury 2
79.7
Grok 4
85.1
Mercury 2
80.9
Grok 4 is ahead overall, 66 to 65. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 66.
Grok 4 has the edge for knowledge tasks in this comparison, averaging 63.8 versus 57.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Grok 4 has the edge for coding in this comparison, averaging 43.1 versus 41.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Grok 4 has the edge for math in this comparison, averaging 85.1 versus 80.9. Inside this category, HMMT Feb 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 77.4. Inside this category, LongBench v2 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 58.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Grok 4 has the edge for multimodal and grounded tasks in this comparison, averaging 78.2 versus 68.3. 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 82. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Grok 4 has the edge for multilingual tasks in this comparison, averaging 80.8 versus 79.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.