Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.5
68
Gemini 2.5 Pro
67
Pick Claude Sonnet 4.5 if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Coding
+13.4 difference
Knowledge
+42.6 difference
Claude Sonnet 4.5
Gemini 2.5 Pro
$3 / $15
$1.25 / $5
N/A
117 t/s
N/A
21.19s
200K
1M
Pick Claude Sonnet 4.5 if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Claude Sonnet 4.5 finishes one point ahead on BenchLM's provisional leaderboard, 68 to 67. 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 Sonnet 4.5's sharpest advantage is in knowledge, where it averages 83.4 against 40.8. The single biggest benchmark swing on the page is SWE-bench Verified, 77.2% to 63.8%.
Claude Sonnet 4.5 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $1.25 input / $5.00 output per 1M tokens for Gemini 2.5 Pro. That is roughly 3.0x on output cost alone. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 200K for Claude Sonnet 4.5.
Claude Sonnet 4.5 is ahead on BenchLM's provisional leaderboard, 68 to 67. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 77.2% and 63.8%.
Claude Sonnet 4.5 has the edge for knowledge tasks in this comparison, averaging 83.4 versus 40.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude Sonnet 4.5 has the edge for coding in this comparison, averaging 77.2 versus 63.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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