Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro
70
Grok 4.3
79
Verified leaderboard positions: DeepSeek V4 Pro #22 · Grok 4.3 unranked
Pick Grok 4.3 if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+11.5 difference
Knowledge
+4.5 difference
DeepSeek V4 Pro
Grok 4.3
$1.74 / $3.48
$1.25 / $2.5
N/A
209 t/s
N/A
12.36s
1M
1M
Pick Grok 4.3 if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Grok 4.3 is clearly ahead on the provisional aggregate, 79 to 70. 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 knowledge, where it averages 53.9 against 49.4. The single biggest benchmark swing on the page is HLE, 7.7% to 35%. DeepSeek V4 Pro does hit back in coding, so the answer changes if that is the part of the workload you care about most.
DeepSeek V4 Pro is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $1.25 input / $2.50 output per 1M tokens for Grok 4.3. Grok 4.3 is the reasoning model in the pair, while DeepSeek V4 Pro 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 4.3 is ahead on BenchLM's provisional leaderboard, 79 to 70. The biggest single separator in this matchup is HLE, where the scores are 7.7% and 35%.
Grok 4.3 has the edge for knowledge tasks in this comparison, averaging 53.9 versus 49.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro has the edge for coding in this comparison, averaging 58.8 versus 47.3. Grok 4.3 stays close enough that the answer can still flip depending on your workload.
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