Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7
93
GPT-5.4 Pro
92
Verified leaderboard positions: Claude Opus 4.7 #2 · GPT-5.4 Pro unranked
Pick Claude Opus 4.7 if you want the stronger benchmark profile. GPT-5.4 Pro only becomes the better choice if agentic is the priority or you need the larger 1.05M context window.
Agentic
+14.4 difference
Knowledge
+19.2 difference
Claude Opus 4.7
GPT-5.4 Pro
$5 / $25
$30 / $180
N/A
74 t/s
N/A
151.79s
1M
1.05M
Pick Claude Opus 4.7 if you want the stronger benchmark profile. GPT-5.4 Pro only becomes the better choice if agentic is the priority or you need the larger 1.05M context window.
Claude Opus 4.7 finishes one point ahead on BenchLM's provisional leaderboard, 93 to 92. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Claude Opus 4.7's sharpest advantage is in knowledge, where it averages 68.2 against 49. The single biggest benchmark swing on the page is BrowseComp, 79.3% to 89.3%. GPT-5.4 Pro does hit back in agentic, 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 4.7. That is roughly 7.2x on output cost alone. GPT-5.4 Pro is the reasoning model in the pair, while Claude Opus 4.7 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 4.7.
Claude Opus 4.7 is ahead on BenchLM's provisional leaderboard, 93 to 92. The biggest single separator in this matchup is BrowseComp, where the scores are 79.3% and 89.3%.
Claude Opus 4.7 has the edge for knowledge tasks in this comparison, averaging 68.2 versus 49. Inside this category, HLE w/o tools 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 74.9. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
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