Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Fable 5
96
Qwen3 235B 2507
32
Verified leaderboard positions: Claude Fable 5 #2 · Qwen3 235B 2507 unranked
Pick Claude Fable 5 if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+1.4 difference
Claude Fable 5
Qwen3 235B 2507
$10 / $50
$0 / $0
N/A
N/A
N/A
N/A
1M+
128K
Pick Claude Fable 5 if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Claude Fable 5 is clearly ahead on the provisional aggregate, 96 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Fable 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 Qwen3 235B 2507. That is roughly Infinityx on output cost alone. Claude Fable 5 is the reasoning model in the pair, while Qwen3 235B 2507 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 128K for Qwen3 235B 2507.
Claude Fable 5 is ahead on BenchLM's provisional leaderboard, 96 to 32. The biggest single separator in this matchup is GPQA, where the scores are 94.5% and 77.5%.
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 74.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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