LLM Comparison

Claude Fable 5 vs Kimi K3: benchmark scores, pricing & comparison.

Side-by-side Claude Fable 5 vs Kimi K3 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.

Rank #1 vs #3AskClash overall scores 91.7 vs 82.3.
Pricing $10.0/$50.0 vs $3.00/$15.0Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs Moonshot AI.

Claude Fable 5 vs Kimi K3 benchmark comparison

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

MetricClaude Fable 5Kimi K3
Overall Score91.782.3
Leaderboard Rank#1#3
RWT9.0
Coding Agent Index77.2
HLE64.543.5
GPQA94.593.5
IFEval80.3
SWE-bench95.5
SWE-Pro80.3
SWE-Atlas83.3
Terminal-Bench88.088.3
DeepSWE69.767.5
OSWorld85.0
MCP Atlas84.2
Finance Agent56.3
CharXiv93.584.8
MMMU-Pro92.781.6
Tau289.2
Input Price (per 1M tokens)$10.0$3.00
Output Price (per 1M tokens)$50.0$15.0
Context Window1M+1M
Benchmarks Published169

Claude Fable 5 vs Kimi K3 head-to-head charts

Claude Fable 5 leads 6 and Kimi K3 leads 1 of 7 shared benchmarks. Kimi K3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Fable 5Kimi K3
Overall
91.7Claude Fable 5
82.3Kimi K3
HLE
64.5Claude Fable 5
43.5Kimi K3
GPQA
94.5Claude Fable 5
93.5Kimi K3
Terminal-Bench
88.0Claude Fable 5
88.3Kimi K3
DeepSWE
69.7Claude Fable 5
67.5Kimi K3
CharXiv
93.5Claude Fable 5
84.8Kimi K3
MMMU-Pro
92.7Claude Fable 5
81.6Kimi K3
Claude Fable 5
Input$10.0
Output$50.0
Workload$20
Context1M+
Kimi K3
Input$3.00
Output$15.0
Workload$6.00
Context1M

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

More Claude Fable 5 and Kimi K3 comparisons

Explore how Claude Fable 5 and Kimi K3 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.