Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.5
80
GPT-5.4
93
Verified leaderboard positions: Claude Opus 4.5 #7 · GPT-5.4 #4
Pick GPT-5.4 if you want the stronger benchmark profile. Claude Opus 4.5 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.
Agentic
+14.5 difference
Coding
+8.2 difference
Knowledge
+26.6 difference
Multimodal
+10.6 difference
Claude Opus 4.5
GPT-5.4
$null / $null
$2.5 / $15
46 t/s
74 t/s
1.01s
151.79s
200K
1.05M
Pick GPT-5.4 if you want the stronger benchmark profile. Claude Opus 4.5 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.
GPT-5.4 is clearly ahead on the provisional aggregate, 93 to 80. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in knowledge, where it averages 92.8 against 66.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 59.3% to 75.1%. Claude Opus 4.5 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 is the reasoning model in the pair, while Claude Opus 4.5 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 gives you the larger context window at 1.05M, compared with 200K for Claude Opus 4.5.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 93 to 80. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 59.3% and 75.1%.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 92.8 versus 66.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for coding in this comparison, averaging 65.9 versus 57.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 77 versus 62.5. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for multimodal and grounded tasks in this comparison, averaging 81.2 versus 70.6. Inside this category, ScreenSpot Pro is the benchmark that creates the most daylight between them.
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