Model comparison

Claude Fable 5 vs Kimi K2 (Jul 2025)

Claude Fable 5 is the stronger model overall, scoring 66.8 to 41.2 on the Noometry Index. Kimi K2 (Jul 2025) costs 20× less per token, which makes it the better buy when Claude Fable 5's lead doesn't matter for your workload.

Last verified . 24 shared benchmarks.

Claude Fable 5 Anthropic

66.8

Rank #5 Confirmed

Kimi K2 (Jul 2025) Moonshot AI

41.2

Rank #140 Confirmed

Summary

  • They share 24 benchmarks with published results for both. Claude Fable 5 scores higher in 9 categories and Kimi K2 (Jul 2025) in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Claude Fable 5 leads 76.8 to 23.3.
  • The biggest single-benchmark swing is GSO: 78.4% for Claude Fable 5 and 4.9% for Kimi K2 (Jul 2025).
  • Kimi K2 (Jul 2025) is cheaper at $0.57 / $2.30 per million input/output tokens, against $10 / $50 for Claude Fable 5.
  • Claude Fable 5 accepts more context: 1M tokens versus 262K.
  • Kimi K2 (Jul 2025) has downloadable open weights; the other is API-only.

Side by side

Claude Fable 5 and Kimi K2 (Jul 2025) specifications
Claude Fable 5Kimi K2 (Jul 2025)
ProviderAnthropicMoonshot AI
Noometry Index66.841.2
Released2026-06-072025-07-12
WeightsProprietaryOpen
Context window1M262K
Max output128K262K
Input $ / M tokens$10$0.57
Output $ / M tokens$50$2.30
Results tracked6242

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Category by category

Coding Claude Fable 5 leads

Claude Fable 5: 70.6 (#4), Kimi K2 (Jul 2025): 42.4 (#102)

Coding benchmarks
BenchmarkClaude Fable 5Kimi K2 (Jul 2025)
GSO78.4%4.9%
WeirdML91.9%42.8%
LMArena Coding15191399
ALE-Bench2,041597.5
DeepSWE69.9%—
FrontierCode53.5%—
SWE-bench Verified (bash only)—63.4%
Aider Polyglot—59.1%
LMArena WebDev1625—
FrontierSWE47%—
SciCode61%—
MirrorCode63.9%—

Agentic & Tool Use Claude Fable 5 leads

Claude Fable 5: 54.0 (#2), Kimi K2 (Jul 2025): 32.4 (#64)

Agentic & Tool Use benchmarks
BenchmarkClaude Fable 5Kimi K2 (Jul 2025)
Terminal-Bench—35.7%
APEX-Agents63.6%—
Berkeley Function Calling Leaderboard—59.1%
Remote Labor Index16.1%—
τ²-bench Banking39.7%—
PostTrainBench41.8%—
GBAEval74.5%—
GDP.pdf30%—
LMArena Search1230—
METR Time Horizons—59.2%
Vending-Bench 25,680—

Reasoning Claude Fable 5 leads

Claude Fable 5: 76.8 (#6), Kimi K2 (Jul 2025): 23.3 (#179)

Reasoning benchmarks
BenchmarkClaude Fable 5Kimi K2 (Jul 2025)
SimpleBench81.9%26.3%
Kagi LLM Benchmark91.4%64.4%
LMArena Hard Prompts15081384
Epoch Capabilities Index162.06146.01
ARC-AGI-289.2%—
NYT Connections (extended)92.7%—
ARC-AGI-198.5%—
CritPt28.6%—
Chess Puzzles41%—
EnigmaEval39.3%—
EBR-Bench39.5%—
Mystery Game Puzzles52%—
DTBench98.4%—
LMCA61.1%—
Surface Evolver Bench95%—
Bench to the Future 30.13—
ForecastBench—60.2

Math Claude Fable 5 leads

Claude Fable 5: 88.5 (#5), Kimi K2 (Jul 2025): 42.7 (#83)

Math benchmarks
BenchmarkClaude Fable 5Kimi K2 (Jul 2025)
LMArena Math15191397
FrontierMath (Tiers 1-3)87%—
FrontierMath Tier 490.2%—
OTIS Mock AIME 2024-2025100%—
ProofBench95%—
Omni-MATH—65.4%
FrontierMath (Feb 2025 set)—21.4%
FrontierMath Erdős0%—
FrontierMath Tier 4 (v1)—0%

Knowledge Claude Fable 5 leads

Claude Fable 5: 62.2 (#25), Kimi K2 (Jul 2025): 37.3 (#157)

Knowledge benchmarks
BenchmarkClaude Fable 5Kimi K2 (Jul 2025)
LMArena Expert15341365
GPQA Diamond85.9%—
SimpleQA Verified70.7%—
MMLU-Pro—81.9%
Confabulations—20.4%
Vectara Hallucination Rate—17.9%
GPQA (HELM)—65.3%

Multimodal Not comparable

Claude Fable 5: 45.3 (#17), Kimi K2 (Jul 2025): —

Multimodal benchmarks
BenchmarkClaude Fable 5Kimi K2 (Jul 2025)
LMArena Vision1324—
Blueprint-Bench 238.6%—
Furniture Assembly35.8%—
LMArena Document1496—

Multilingual Claude Fable 5 leads

Claude Fable 5: 57.3 (#9), Kimi K2 (Jul 2025): 49.6 (#130)

Multilingual benchmarks
BenchmarkClaude Fable 5Kimi K2 (Jul 2025)
LMArena Non-English14811372
LMArena Chinese15431415
LMArena French15051379
LMArena German14861387
LMArena Japanese15061349
LMArena Korean14881325
LMArena Russian15041385
LMArena Spanish14981386

Instruction Following Claude Fable 5 leads

Claude Fable 5: 78.6 (#8), Kimi K2 (Jul 2025): 71.1 (#156)

Instruction Following benchmarks
BenchmarkClaude Fable 5Kimi K2 (Jul 2025)
LMArena Instruction Following15021348
IFEval—85%

Long Context Claude Fable 5 leads

Claude Fable 5: 46.3 (#23), Kimi K2 (Jul 2025): 41.2 (#145)

Long Context benchmarks
BenchmarkClaude Fable 5Kimi K2 (Jul 2025)
LMArena Longer Query15091353
Fiction.LiveBench—66.7%
CL-bench—17.6%

Writing & Preference Claude Fable 5 leads

Claude Fable 5: 75.9 (#5), Kimi K2 (Jul 2025): 62.3 (#78)

Writing & Preference benchmarks
BenchmarkClaude Fable 5Kimi K2 (Jul 2025)
LMArena Text14911380
LMArena Creative Writing14941350
EQ-Bench Creative Writing19431666
LMArena Multi-Turn15041371
Short-Story Creative Writing—85.6%
WildBench—86.2%
EQ-Bench 41340—

Frequently asked questions

Is Claude Fable 5 better than Kimi K2 (Jul 2025)?

Claude Fable 5 is the stronger model overall, scoring 66.8 to 41.2 on the Noometry Index. Kimi K2 (Jul 2025) costs 20× less per token, which makes it the better buy when Claude Fable 5's lead doesn't matter for your workload.

Which is cheaper, Claude Fable 5 or Kimi K2 (Jul 2025)?

Kimi K2 (Jul 2025) is cheaper. It lists at $0.57 per million input tokens and $2.30 per million output tokens; Claude Fable 5 lists at $10 and $50.

Is Claude Fable 5 or Kimi K2 (Jul 2025) better for coding?

Claude Fable 5 scores higher on coding benchmarks: 70.6 versus 42.4 in the Noometry coding category.

Which has the bigger context window?

Claude Fable 5 does, with 1M tokens against 262K.

How many benchmarks do Claude Fable 5 and Kimi K2 (Jul 2025) share?

24 benchmarks have published results for both models. Claude Fable 5 has 62 scored results on Noometry and Kimi K2 (Jul 2025) has 42.

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