Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Fable 5
96
Kimi K2.5 (Reasoning)
76
Verified leaderboard positions: Claude Fable 5 #2 · Kimi K2.5 (Reasoning) unranked
Pick Claude Fable 5 if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Agentic
+30.6 difference
Coding
+8.8 difference
Knowledge
+12.5 difference
Multimodal
+13.9 difference
Claude Fable 5
Kimi K2.5 (Reasoning)
$10 / $50
$0.6 / $3
N/A
N/A
N/A
N/A
1M+
128K
Pick Claude Fable 5 if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) 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 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 agentic, where it averages 85.2 against 54.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 84.3% to 50.8%. Kimi K2.5 (Reasoning) does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Claude Fable 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $0.60 input / $3.00 output per 1M tokens for Kimi K2.5 (Reasoning). That is roughly 16.7x on output cost alone. Claude Fable 5 gives you the larger context window at 1M+, compared with 128K for Kimi K2.5 (Reasoning).
Claude Fable 5 is ahead on BenchLM's provisional leaderboard, 96 to 76. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 84.3% and 50.8%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 74.8. 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 76.8. Inside this category, SWE-bench Verified 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 54.6. Inside this category, GDPval-AA 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 78.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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