Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Fable 5
96
DeepSeek V4 Pro Base
41
Verified leaderboard positions: Claude Fable 5 #2 · DeepSeek V4 Pro Base unranked
Pick Claude Fable 5 if you want the stronger benchmark profile. DeepSeek V4 Pro Base only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Knowledge
+11.4 difference
Claude Fable 5
DeepSeek V4 Pro Base
$10 / $50
$null / $null
N/A
N/A
N/A
N/A
1M+
1M
Pick Claude Fable 5 if you want the stronger benchmark profile. DeepSeek V4 Pro Base only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Claude Fable 5 is clearly ahead on the provisional aggregate, 96 to 41. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Fable 5's sharpest advantage is in knowledge, where it averages 74.8 against 63.4.
Claude Fable 5 is the reasoning model in the pair, while DeepSeek V4 Pro Base 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 Fable 5 gives you the larger context window at 1M+, compared with 1M for DeepSeek V4 Pro Base.
Claude Fable 5 is ahead on BenchLM's provisional leaderboard, 96 to 41.
Claude Fable 5 has the edge for knowledge tasks in this comparison, averaging 74.8 versus 63.4. DeepSeek V4 Pro Base stays close enough that the answer can still flip depending on your workload.
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