Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Fable 5
96
GPT-4.1 mini
45
Verified leaderboard positions: Claude Fable 5 #2 · GPT-4.1 mini unranked
Pick Claude Fable 5 if you want the stronger benchmark profile. GPT-4.1 mini 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
+62.0 difference
Knowledge
+10.6 difference
Claude Fable 5
GPT-4.1 mini
$10 / $50
$0.4 / $1.6
N/A
80 t/s
N/A
0.76s
1M+
1M
Pick Claude Fable 5 if you want the stronger benchmark profile. GPT-4.1 mini 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 45. 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 23.6. The single biggest benchmark swing on the page is SWE-bench Verified, 95% to 23.6%.
Claude Fable 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. That is roughly 31.3x on output cost alone. Claude Fable 5 is the reasoning model in the pair, while GPT-4.1 mini 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 GPT-4.1 mini.
Claude Fable 5 is ahead on BenchLM's provisional leaderboard, 96 to 45. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 95% and 23.6%.
Claude Fable 5 has the edge for knowledge tasks in this comparison, averaging 74.8 versus 64.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude Fable 5 has the edge for coding in this comparison, averaging 85.6 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.