Head-to-head comparison across 5benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7 (Adaptive)
90
GPT-5.4 Pro
91
Verified leaderboard positions: Claude Opus 4.7 (Adaptive) #5 · GPT-5.4 Pro unranked
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Claude Opus 4.7 (Adaptive) only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Agentic
+14.4 difference
Reasoning
+7.5 difference
Knowledge
+19.2 difference
Math
+6.2 difference
Multimodal
+29.7 difference
Claude Opus 4.7 (Adaptive)
GPT-5.4 Pro
$5 / $25
$30 / $180
N/A
74 t/s
N/A
151.79s
1M
1.05M
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Claude Opus 4.7 (Adaptive) only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-5.4 Pro finishes one point ahead on BenchLM's provisional leaderboard, 91 to 90. 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 Pro's sharpest advantage is in multimodal & grounded, where it averages 94 against 64.3. The single biggest benchmark swing on the page is BrowseComp, 79.3% to 89.3%. Claude Opus 4.7 (Adaptive) 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 4.7 (Adaptive). That is roughly 7.2x on output cost alone. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 1M for Claude Opus 4.7 (Adaptive).
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 91 to 90. The biggest single separator in this matchup is BrowseComp, where the scores are 79.3% and 89.3%.
Claude Opus 4.7 (Adaptive) 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 math in this comparison, averaging 50 versus 43.8. Inside this category, FrontierMath is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 83.3 versus 75.8. Inside this category, ARC-AGI-2 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.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 64.3. Claude Opus 4.7 (Adaptive) stays close enough that the answer can still flip depending on your workload.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.