Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Grok 4.3
79
Kimi K2.5 (Reasoning)
76
Pick Grok 4.3 if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if knowledge is the priority.
Coding
+29.5 difference
Knowledge
+33.4 difference
Multimodal
+0.4 difference
Grok 4.3
Kimi K2.5 (Reasoning)
$1.25 / $2.5
$0.6 / $3
209 t/s
N/A
12.36s
N/A
1M
128K
Pick Grok 4.3 if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if knowledge is the priority.
Grok 4.3 has the cleaner provisional overall profile here, landing at 79 versus 76. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Kimi K2.5 (Reasoning) is also the more expensive model on tokens at $0.60 input / $3.00 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 128K for Kimi K2.5 (Reasoning).
Grok 4.3 is ahead on BenchLM's provisional leaderboard, 79 to 76. The biggest single separator in this matchup is GPQA, where the scores are 90.1% and 87.6%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 53.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 47.3. Grok 4.3 stays close enough that the answer can still flip depending on your workload.
Kimi K2.5 (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 78.5 versus 78.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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