Claude Fable 5.1 vs Kimi K2 Instruct
Claude Fable 5.1 leads the LLM Stats Score 56.8 to 22.0. Kimi K2 Instruct is 40.0x cheaper per token.
Anthropic · Moonshot AI · Updated for 2026
Which is better?
Claude Fable 5.1 leads the overall LLM Stats Score 56.8 to 22.0, ranking #2 overall.
In the 1 individual benchmarks reported for both models, Claude Fable 5.1 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Kimi K2 Instruct is roughly 40.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Fable 5.1 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Fable 5.1
- overall performance matters — it scores 56.8 and ranks #2 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Kimi K2 Instruct
- cost matters — it's about 40.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for Claude Fable 5.1 · 38 for Kimi K2 Instruct
Claude Fable 5.1 outperforms in 1 benchmarks (Humanity's Last Exam), while Kimi K2 Instruct is better at 0 benchmarks.
Claude Fable 5.1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Fable 5.1 ($10.00/1M tokens) is 20.0x more expensive than Kimi K2 Instruct ($0.50/1M tokens).
For output processing, Claude Fable 5.1 ($50.00/1M tokens) is 100.0x more expensive than Kimi K2 Instruct ($0.50/1M tokens).
In conclusion, Claude Fable 5.1 is more expensive than Kimi K2 Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Fable 5.1 accepts 1,000,000 input tokens compared to Kimi K2 Instruct's 200,000 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while Claude Fable 5.1 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Fable 5.1 supports multimodal inputs, whereas Kimi K2 Instruct does not.
Claude Fable 5.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Fable 5.1
Kimi K2 Instruct
License
Usage and distribution terms
Claude Fable 5.1 is licensed under a proprietary license, while Kimi K2 Instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude Fable 5.1 was released on 2026-09-01, while Kimi K2 Instruct was released on 2025-07-11.
Claude Fable 5.1 is 14 months newer than Kimi K2 Instruct.
Sep 1, 2026
2 days ago
1.1yr newerJul 11, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Fable 5.1 is available from Anthropic. Kimi K2 Instruct is available from Fireworks, Novita.
Claude Fable 5.1
Kimi K2 Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Fable 5.1 and Kimi K2 Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Fable 5.1 vs Kimi K2 Instruct.