Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.6
88
GPT-5.4 Pro
92
Verified leaderboard positions: Claude Opus 4.6 #3 · GPT-5.4 Pro unranked
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Claude Opus 4.6 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Agentic
+16.7 difference
Knowledge
+27.2 difference
Multimodal
+16.7 difference
Claude Opus 4.6
GPT-5.4 Pro
$5 / $25
$30 / $180
40 t/s
74 t/s
1.78s
151.79s
1M
1.05M
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Claude Opus 4.6 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 92 to 88. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in agentic, where it averages 89.3 against 72.6. The single biggest benchmark swing on the page is MMMU-Pro, 77.3% to 94%. Claude Opus 4.6 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $5.00 input / $25.00 output per 1M tokens for Claude Opus 4.6. That is roughly 7.2x on output cost alone. GPT-5.4 Pro is the reasoning model in the pair, while Claude Opus 4.6 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-5.4 Pro gives you the larger context window at 1.05M, compared with 1M for Claude Opus 4.6.
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 92 to 88. The biggest single separator in this matchup is MMMU-Pro, where the scores are 77.3% and 94%.
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 49. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 72.6. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 77.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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