Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Fable 5
96
MiniMax M3
76
Verified leaderboard positions: Claude Fable 5 #2 · MiniMax M3 #14
Pick Claude Fable 5 if you want the stronger benchmark profile. MiniMax M3 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.
Agentic
+13.3 difference
Coding
+18.6 difference
Multimodal
+27.5 difference
Claude Fable 5
MiniMax M3
$10 / $50
$0.3 / $1.2
N/A
N/A
N/A
N/A
1M+
1M
Pick Claude Fable 5 if you want the stronger benchmark profile. MiniMax M3 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 76. 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 multimodal & grounded, where it averages 92.4 against 64.9. The single biggest benchmark swing on the page is SWE-bench Pro, 80% to 59%.
Claude Fable 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. That is roughly 41.7x on output cost alone. Claude Fable 5 is the reasoning model in the pair, while MiniMax M3 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 MiniMax M3.
Claude Fable 5 is ahead on BenchLM's provisional leaderboard, 96 to 76. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 80% and 59%.
Claude Fable 5 has the edge for coding in this comparison, averaging 85.6 versus 67. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Fable 5 has the edge for agentic tasks in this comparison, averaging 85.2 versus 71.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Claude Fable 5 has the edge for multimodal and grounded tasks in this comparison, averaging 92.4 versus 64.9. Inside this category, MMMU-Pro 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.