Claude Fable 5.1 vs Codestral-22B
Claude Fable 5.1 leads the LLM Stats Score 54.8 to 0.2.
Anthropic · Mistral AI · Updated for 2026
Which is better?
Claude Fable 5.1 leads the overall LLM Stats Score 54.8 to 0.2, ranking #5 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Fable 5.1
- overall performance matters — it scores 54.8 and ranks #5 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose Codestral-22B
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
7 reported for Claude Fable 5.1 · 7 for Codestral-22B
Claude Fable 5.1 and Codestral-22Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Claude Fable 5.1 specifies input context (1,000,000 tokens). Only Claude Fable 5.1 specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Claude Fable 5.1 supports multimodal inputs, whereas Codestral-22B 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
Codestral-22B
License
Usage and distribution terms
Claude Fable 5.1 is licensed under a proprietary license, while Codestral-22B uses MNPL-0.1.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MNPL-0.1
Open weights
Release Timeline
When each model was launched
Claude Fable 5.1 was released on 2026-09-01, while Codestral-22B was released on 2024-05-29.
Claude Fable 5.1 is 28 months newer than Codestral-22B.
Sep 1, 2026
0 days ago
2.3yr newerMay 29, 2024
2.3 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Fable 5.1 and Codestral-22B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Fable 5.1 vs Codestral-22B.