Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7 (Adaptive)
90
GPT-5.4
89
Verified leaderboard positions: Claude Opus 4.7 (Adaptive) #5 · GPT-5.4 #12
Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. GPT-5.4 only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Agentic
+2.1 difference
Coding
+15.2 difference
Knowledge
+2.1 difference
Multimodal
+8.4 difference
Claude Opus 4.7 (Adaptive)
GPT-5.4
$5 / $25
$2.5 / $15
N/A
74 t/s
N/A
151.79s
1M
1.05M
Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. GPT-5.4 only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Claude Opus 4.7 (Adaptive) finishes one point ahead on BenchLM's provisional leaderboard, 90 to 89. 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 (Adaptive)'s sharpest advantage is in coding, where it averages 72.9 against 57.7. The single biggest benchmark swing on the page is OfficeQA Pro, 43.6% to 53.2%. GPT-5.4 does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Claude Opus 4.7 (Adaptive) 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 gives you the larger context window at 1.05M, compared with 1M for Claude Opus 4.7 (Adaptive).
Claude Opus 4.7 (Adaptive) is ahead on BenchLM's provisional leaderboard, 90 to 89. The biggest single separator in this matchup is OfficeQA Pro, where the scores are 43.6% and 53.2%.
Claude Opus 4.7 (Adaptive) has the edge for knowledge tasks in this comparison, averaging 68.2 versus 66.1. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
Claude Opus 4.7 (Adaptive) 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.
GPT-5.4 has the edge for multimodal and grounded tasks in this comparison, averaging 72.7 versus 64.3. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
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