Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Mythos Preview
99
DeepSeek V3.2
57
Verified leaderboard positions: Claude Mythos Preview #1 · DeepSeek V3.2 unranked
Pick Claude Mythos Preview if you want the stronger benchmark profile. DeepSeek V3.2 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+22.9 difference
Claude Mythos Preview
DeepSeek V3.2
$25 / $125
$0.28 / $0.42
N/A
35 t/s
N/A
3.75s
1M
128K
Pick Claude Mythos Preview if you want the stronger benchmark profile. DeepSeek V3.2 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Claude Mythos Preview is clearly ahead on the provisional aggregate, 99 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Mythos Preview's sharpest advantage is in coding, where it averages 83.8 against 60.9.
Claude Mythos Preview is also the more expensive model on tokens at $25.00 input / $125.00 output per 1M tokens, versus $0.28 input / $0.42 output per 1M tokens for DeepSeek V3.2. That is roughly 297.6x on output cost alone. Claude Mythos Preview is the reasoning model in the pair, while DeepSeek V3.2 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 Mythos Preview gives you the larger context window at 1M, compared with 128K for DeepSeek V3.2.
Claude Mythos Preview is ahead on BenchLM's provisional leaderboard, 99 to 57.
Claude Mythos Preview has the edge for coding in this comparison, averaging 83.8 versus 60.9. DeepSeek V3.2 stays close enough that the answer can still flip depending on your workload.
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