LLM Comparison

Claude Fable 5.2 vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5.2 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.

Verdict: Claude Fable 5.2 ranks higher (#1 vs #50) and wins 2 of 2 shared benchmarks; Kimi K2.7 costs less ($0.95/$4.00 vs $8.00/$40.0 per 1M tokens).

Rank #1 vs #50AskClash overall scores 81.6 vs 29.9.
Pricing $8.00/$40.0 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs Moonshot AI.

Claude Fable 5.2 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 5.2Kimi K2.7
Overall Score81.629.9
Leaderboard Rank#1#50
ACB91.443.0
RWT—7.5
HLE74.2—
SWE-Pro93.0—
Terminal-Bench59.6—
DeepSWE74.330.5
GDPval-AA1831.0—
MCP Atlas—76.0
Input Price (per 1M tokens)$8.00$0.95
Output Price (per 1M tokens)$40.0$4.00
Context Window1M256K
Benchmarks Published94

Claude Fable 5.2 vs Kimi K2.7 head-to-head charts

Claude Fable 5.2 leads 3 and Kimi K2.7 leads 0 of 3 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Fable 5.2Kimi K2.7
Overall
81.6Claude Fable 5.2
29.9Kimi K2.7
ACB
91.4Claude Fable 5.2
43.0Kimi K2.7
DeepSWE
74.3Claude Fable 5.2
30.5Kimi K2.7
Claude Fable 5.2
Input$8.00
Output$40.0
Workload$16
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 5.2 and Kimi K2.7 comparisons

Explore how Claude Fable 5.2 and Kimi K2.7 stack up against other top-ranked LLMs.

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.