Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Fable 5
96
Claude Haiku 4.5
56
Verified leaderboard positions: Claude Fable 5 #2 · Claude Haiku 4.5 unranked
Pick Claude Fable 5 if you want the stronger benchmark profile. Claude Haiku 4.5 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
+12.3 difference
Claude Fable 5
Claude Haiku 4.5
$10 / $50
$1 / $5
N/A
N/A
N/A
N/A
1M+
200K
Pick Claude Fable 5 if you want the stronger benchmark profile. Claude Haiku 4.5 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 Fable 5 is clearly ahead on the provisional aggregate, 96 to 56. 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 coding, where it averages 85.6 against 73.3. The single biggest benchmark swing on the page is SWE-bench Verified, 95% to 73.3%.
Claude Fable 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $1.00 input / $5.00 output per 1M tokens for Claude Haiku 4.5. That is roughly 10.0x on output cost alone. Claude Fable 5 is the reasoning model in the pair, while Claude Haiku 4.5 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 200K for Claude Haiku 4.5.
Claude Fable 5 is ahead on BenchLM's provisional leaderboard, 96 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 95% and 73.3%.
Claude Fable 5 has the edge for coding in this comparison, averaging 85.6 versus 73.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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