Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 5
94
Gemma 4 31B
64
Pick Claude Sonnet 5 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Coding
+21.6 difference
Knowledge
+3.9 difference
Claude Sonnet 5
Gemma 4 31B
$3 / $15
$0 / $0
N/A
N/A
N/A
N/A
1M
256K
Pick Claude Sonnet 5 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Claude Sonnet 5 is clearly ahead on the provisional aggregate, 94 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 5's sharpest advantage is in coding, where it averages 63.2 against 41.6. The single biggest benchmark swing on the page is HLE, 57.4% to 26.5%. Gemma 4 31B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Claude Sonnet 5 is also the more expensive model on tokens at $3.00 input / $15.00 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. Claude Sonnet 5 gives you the larger context window at 1M, compared with 256K for Gemma 4 31B.
Claude Sonnet 5 is ahead on BenchLM's provisional leaderboard, 94 to 64. The biggest single separator in this matchup is HLE, where the scores are 57.4% and 26.5%.
Gemma 4 31B has the edge for knowledge tasks in this comparison, averaging 61.3 versus 57.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
Claude Sonnet 5 has the edge for coding in this comparison, averaging 63.2 versus 41.6. Gemma 4 31B stays close enough that the answer can still flip depending on your workload.
Estimates at 50,000 req/day · 1000 tokens/req average.
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