Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.6
87
Gemma 4 31B
65
Verified leaderboard positions: Claude Opus 4.6 #5 · Gemma 4 31B unranked
Pick Claude Opus 4.6 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Coding
+22.8 difference
Knowledge
+14.9 difference
Multimodal
+0.4 difference
Claude Opus 4.6
Gemma 4 31B
$5 / $25
$0 / $0
40 t/s
N/A
1.78s
N/A
1M
256K
Pick Claude Opus 4.6 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Claude Opus 4.6 is clearly ahead on the provisional aggregate, 87 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in coding, where it averages 64.4 against 41.6. The single biggest benchmark swing on the page is HLE, 53% to 26.5%.
Claude Opus 4.6 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 31B. That is roughly Infinityx on output cost alone. Gemma 4 31B is the reasoning model in the pair, while Claude Opus 4.6 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 4.6 gives you the larger context window at 1M, compared with 256K for Gemma 4 31B.
Claude Opus 4.6 is ahead on BenchLM's provisional leaderboard, 87 to 65. The biggest single separator in this matchup is HLE, where the scores are 53% and 26.5%.
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 61.3. Inside this category, HLE is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for coding in this comparison, averaging 64.4 versus 41.6. Inside this category, SWE-Rebench is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for multimodal and grounded tasks in this comparison, averaging 77.3 versus 76.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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