Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude 3.5 Sonnet
41
Grok 4.3
79
Pick Grok 4.3 if you want the stronger benchmark profile. Claude 3.5 Sonnet only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+1.7 difference
Knowledge
+5.5 difference
Claude 3.5 Sonnet
Grok 4.3
$3 / $15
$1.25 / $2.5
N/A
209 t/s
N/A
12.36s
200K
1M
Pick Grok 4.3 if you want the stronger benchmark profile. Claude 3.5 Sonnet only becomes the better choice if knowledge 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 41. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude 3.5 Sonnet is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $1.25 input / $2.50 output per 1M tokens for Grok 4.3. That is roughly 6.0x on output cost alone. Grok 4.3 is the reasoning model in the pair, while Claude 3.5 Sonnet 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 gives you the larger context window at 1M, compared with 200K for Claude 3.5 Sonnet.
Grok 4.3 is ahead on BenchLM's provisional leaderboard, 79 to 41. The biggest single separator in this matchup is GPQA, where the scores are 59.4% and 90.1%.
Claude 3.5 Sonnet has the edge for knowledge tasks in this comparison, averaging 59.4 versus 53.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude 3.5 Sonnet has the edge for coding in this comparison, averaging 49 versus 47.3. Grok 4.3 stays close enough that the answer can still flip depending on your workload.
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