Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Mythos 5
99
Gemma 4 31B
64
Verified leaderboard positions: Claude Mythos 5 #1 · Gemma 4 31B unranked
Pick Claude Mythos 5 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if you want the cheaper token bill.
Coding
+44.3 difference
Knowledge
+13.3 difference
Multimodal
+15.8 difference
Claude Mythos 5
Gemma 4 31B
$10 / $50
$0 / $0
N/A
N/A
N/A
N/A
1M+
256K
Pick Claude Mythos 5 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if you want the cheaper token bill.
Claude Mythos 5 is clearly ahead on the provisional aggregate, 99 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Mythos 5's sharpest advantage is in coding, where it averages 85.9 against 41.6. The single biggest benchmark swing on the page is HLE, 64.5% to 26.5%.
Claude Mythos 5 is also the more expensive model on tokens at $10.00 input / $50.00 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 Mythos 5 gives you the larger context window at 1M+, compared with 256K for Gemma 4 31B.
Claude Mythos 5 is ahead on BenchLM's provisional leaderboard, 99 to 64. The biggest single separator in this matchup is HLE, where the scores are 64.5% and 26.5%.
Claude Mythos 5 has the edge for knowledge tasks in this comparison, averaging 74.6 versus 61.3. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
Claude Mythos 5 has the edge for coding in this comparison, averaging 85.9 versus 41.6. Gemma 4 31B stays close enough that the answer can still flip depending on your workload.
Claude Mythos 5 has the edge for multimodal and grounded tasks in this comparison, averaging 92.7 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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