Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7
93
GPT-5.4
94
Verified leaderboard positions: Claude Opus 4.7 #2 · GPT-5.4 #4
Pick GPT-5.4 if you want the stronger benchmark profile. Claude Opus 4.7 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
+2.1 difference
Coding
+15.2 difference
Knowledge
+24.6 difference
Claude Opus 4.7
GPT-5.4
$5 / $25
$2.5 / $15
N/A
74 t/s
N/A
151.79s
1M
1.05M
Pick GPT-5.4 if you want the stronger benchmark profile. Claude Opus 4.7 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 finishes one point ahead on BenchLM's provisional leaderboard, 94 to 93. 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.
GPT-5.4's sharpest advantage is in knowledge, where it averages 92.8 against 68.2. The single biggest benchmark swing on the page is MCP Atlas, 77.3% to 67.2%. Claude Opus 4.7 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Claude Opus 4.7 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 4.7 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 gives you the larger context window at 1.05M, compared with 1M for Claude Opus 4.7.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 94 to 93. The biggest single separator in this matchup is MCP Atlas, where the scores are 77.3% and 67.2%.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 92.8 versus 68.2. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
Claude Opus 4.7 has the edge for coding in this comparison, averaging 72.9 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 74.9. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
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