Head-to-head comparison across 5benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.5
77
Claude Opus 4.7 (Adaptive)
90
Verified leaderboard positions: Claude Opus 4.5 #9 · Claude Opus 4.7 (Adaptive) #5
Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. Claude Opus 4.5 only becomes the better choice if multimodal & grounded is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+12.4 difference
Coding
+7.0 difference
Reasoning
+11.4 difference
Knowledge
+2.0 difference
Multimodal
+5.7 difference
Claude Opus 4.5
Claude Opus 4.7 (Adaptive)
$5 / $25
$5 / $25
46 t/s
N/A
1.01s
N/A
200K
1M
Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. Claude Opus 4.5 only becomes the better choice if multimodal & grounded is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Claude Opus 4.7 (Adaptive) is clearly ahead on the provisional aggregate, 90 to 77. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.7 (Adaptive)'s sharpest advantage is in agentic, where it averages 74.9 against 62.5. The single biggest benchmark swing on the page is HLE, 30.8% to 54.7%. Claude Opus 4.5 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 the reasoning model in the pair, while Claude Opus 4.5 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. Claude Opus 4.7 (Adaptive) gives you the larger context window at 1M, compared with 200K for Claude Opus 4.5.
Claude Opus 4.7 (Adaptive) is ahead on BenchLM's provisional leaderboard, 90 to 77. The biggest single separator in this matchup is HLE, where the scores are 30.8% and 54.7%.
Claude Opus 4.7 (Adaptive) has the edge for knowledge tasks in this comparison, averaging 68.2 versus 66.2. Inside this category, HLE 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 65.9. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.7 (Adaptive) has the edge for reasoning in this comparison, averaging 75.8 versus 64.4. Claude Opus 4.5 stays close enough that the answer can still flip depending on your workload.
Claude Opus 4.7 (Adaptive) has the edge for agentic tasks in this comparison, averaging 74.9 versus 62.5. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for multimodal and grounded tasks in this comparison, averaging 70 versus 64.3. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
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