Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 mini
71
Grok 4.3
79
Pick Grok 4.3 if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if knowledge is the priority.
Knowledge
+3.5 difference
Multimodal
+1.5 difference
GPT-5.4 mini
Grok 4.3
$0.75 / $4.5
$1.25 / $2.5
201 t/s
209 t/s
3.85s
12.36s
400K
1M
Pick Grok 4.3 if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if knowledge is the priority.
Grok 4.3 is clearly ahead on the provisional aggregate, 79 to 71. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Grok 4.3's sharpest advantage is in multimodal & grounded, where it averages 78.1 against 76.6. The single biggest benchmark swing on the page is HLE, 41.5% to 35%. GPT-5.4 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $1.25 input / $2.50 output per 1M tokens for Grok 4.3. Grok 4.3 gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.
Grok 4.3 is ahead on BenchLM's provisional leaderboard, 79 to 71. The biggest single separator in this matchup is HLE, where the scores are 41.5% and 35%.
GPT-5.4 mini has the edge for knowledge tasks in this comparison, averaging 57.4 versus 53.9. Inside this category, HLE is the benchmark that creates the most daylight between them.
Grok 4.3 has the edge for multimodal and grounded tasks in this comparison, averaging 78.1 versus 76.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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