Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Grok 4.20
72
MiniMax M3
76
Verified leaderboard positions: Grok 4.20 unranked · MiniMax M3 #12
Pick MiniMax M3 if you want the stronger benchmark profile. Grok 4.20 only becomes the better choice if multimodal & grounded is the priority or you need the larger 2M context window.
Agentic
+24.8 difference
Coding
+6.0 difference
Multimodal
+5.9 difference
Grok 4.20
MiniMax M3
$2 / $6
$0.3 / $1.2
233 t/s
N/A
10.33s
N/A
2M
1M
Pick MiniMax M3 if you want the stronger benchmark profile. Grok 4.20 only becomes the better choice if multimodal & grounded is the priority or you need the larger 2M context window.
MiniMax M3 is clearly ahead on the provisional aggregate, 76 to 72. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M3's sharpest advantage is in agentic, where it averages 71.9 against 47.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 47.1% to 66%. Grok 4.20 does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Grok 4.20 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. That is roughly 5.0x on output cost alone. Grok 4.20 is the reasoning model in the pair, while MiniMax M3 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 4.20 gives you the larger context window at 2M, compared with 1M for MiniMax M3.
MiniMax M3 is ahead on BenchLM's provisional leaderboard, 76 to 72. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 47.1% and 66%.
MiniMax M3 has the edge for coding in this comparison, averaging 67 versus 61. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
MiniMax M3 has the edge for agentic tasks in this comparison, averaging 71.9 versus 47.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Grok 4.20 has the edge for multimodal and grounded tasks in this comparison, averaging 70.8 versus 64.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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