Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude 3.5 Sonnet
42
GPT-5.5
89
Verified leaderboard positions: Claude 3.5 Sonnet unranked · GPT-5.5 #2
Pick GPT-5.5 if you want the stronger benchmark profile. Claude 3.5 Sonnet only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+9.6 difference
Knowledge
+7.0 difference
Claude 3.5 Sonnet
GPT-5.5
$3 / $15
$5 / $30
N/A
N/A
N/A
N/A
200K
1M
Pick GPT-5.5 if you want the stronger benchmark profile. Claude 3.5 Sonnet only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.5 is clearly ahead on the provisional aggregate, 89 to 42. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in coding, where it averages 58.6 against 49. The single biggest benchmark swing on the page is GPQA, 59.4% to 93.6%.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $3.00 input / $15.00 output per 1M tokens for Claude 3.5 Sonnet. That is roughly 2.0x on output cost alone. GPT-5.5 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. GPT-5.5 gives you the larger context window at 1M, compared with 200K for Claude 3.5 Sonnet.
GPT-5.5 is ahead on BenchLM's provisional leaderboard, 89 to 42. The biggest single separator in this matchup is GPQA, where the scores are 59.4% and 93.6%.
GPT-5.5 has the edge for knowledge tasks in this comparison, averaging 66.4 versus 59.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.5 has the edge for coding in this comparison, averaging 58.6 versus 49. Claude 3.5 Sonnet stays close enough that the answer can still flip depending on your workload.
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