Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.6
91
GPT-5.4
93
Verified leaderboard positions: Claude Opus 4.6 #3 · GPT-5.4 #4
Pick GPT-5.4 if you want the stronger benchmark profile. Claude Opus 4.6 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
+4.4 difference
Coding
+6.7 difference
Knowledge
+16.6 difference
Multimodal
+3.9 difference
Claude Opus 4.6
GPT-5.4
$5 / $25
$2.5 / $15
40 t/s
74 t/s
1.78s
151.79s
1M
1.05M
Pick GPT-5.4 if you want the stronger benchmark profile. Claude Opus 4.6 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 has the cleaner provisional overall profile here, landing at 93 versus 91. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-5.4's sharpest advantage is in knowledge, where it averages 92.8 against 76.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 65.4% to 75.1%. Claude Opus 4.6 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Claude Opus 4.6 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $2.50 input / $15.00 output per 1M tokens for GPT-5.4. GPT-5.4 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 gives you the larger context window at 1.05M, compared with 1M for Claude Opus 4.6.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 93 to 91. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 65.4% and 75.1%.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 92.8 versus 76.2. Inside this category, HealthBench Hard is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for coding in this comparison, averaging 64.4 versus 57.7. Inside this category, LiveCodeBench 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 72.6. Inside this category, Terminal-Bench 2.0 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 77.3. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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