LLM Comparison

Claude Fable 5 vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5 vs Kimi K2.7 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Open live leaderboardClaude Fable 5 model pageKimi K2.7 model page
Rank #1 vs #19AskClash overall scores 91.9 vs 56.8.
Pricing $10.0/$50.0 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs Moonshot AI.

Claude Fable 5 vs Kimi K2.7 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricClaude Fable 5Kimi K2.7
Overall Score91.956.8
Leaderboard Rank#1#19
RWT9.07.5
Coding Agent Index77.2—
HLE64.554.0
GPQA94.590.5
IFEval80.3—
SWE-bench95.580.2
SWE-Pro80.358.6
SWE-Atlas83.3—
Terminal-Bench88.066.7
DeepSWE69.730.5
OSWorld85.073.1
MCP Atlas—76.0
Finance Agent56.344.9
CharXiv93.580.4
MMMU-Pro92.779.4
Tau289.290.1
Input Price (per 1M tokens)$10.0$0.95
Output Price (per 1M tokens)$50.0$4.00
Context Window1M+256K
Benchmarks Published1613

Claude Fable 5 vs Kimi K2.7 head-to-head charts

Claude Fable 5 leads 12 and Kimi K2.7 leads 1 of 13 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Fable 5Kimi K2.7
Overall
91.9Claude Fable 5
56.8Kimi K2.7
RWT
9.0Claude Fable 5
7.5Kimi K2.7
HLE
64.5Claude Fable 5
54.0Kimi K2.7
GPQA
94.5Claude Fable 5
90.5Kimi K2.7
SWE-bench
95.5Claude Fable 5
80.2Kimi K2.7
SWE-Pro
80.3Claude Fable 5
58.6Kimi K2.7
Terminal-Bench
88.0Claude Fable 5
66.7Kimi K2.7
DeepSWE
69.7Claude Fable 5
30.5Kimi K2.7
OSWorld
85.0Claude Fable 5
73.1Kimi K2.7
Finance Agent
56.3Claude Fable 5
44.9Kimi K2.7
CharXiv
93.5Claude Fable 5
80.4Kimi K2.7
MMMU-Pro
92.7Claude Fable 5
79.4Kimi K2.7
Claude Fable 5
Input$10.0
Output$50.0
Workload$20
Context1M+
Kimi K2.7
Input$0.95
Output$4.00
Workload$1.75
Context256K

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Claude Fable 5 and Kimi K2.7 comparisons

Explore how Claude Fable 5 and Kimi K2.7 stack up against other top-ranked LLMs.

Claude Fable 5 vs GPT-5.6 SolGPT-5.6 Sol vs Kimi K2.7Claude Fable 5 vs Kimi K3Kimi K3 vs Kimi K2.7Claude Fable 5 vs Claude Opus 4.8Claude Opus 4.8 vs Kimi K2.7Claude Fable 5 vs Grok 4.5Grok 4.5 vs Kimi K2.7Claude Fable 5 vs Muse Spark 1.1Muse Spark 1.1 vs Kimi K2.7

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.