Claude Fable 5.2 vs Mistral Large 4
Claude Fable 5.2 leads the LLM Stats Score 61.1 to 46.0. Mistral Large 4 is 15.2x cheaper per token.
Anthropic · Mistral AI · Updated for 2026
Which is better?
Claude Fable 5.2 leads the overall LLM Stats Score 61.1 to 46.0, ranking #1 overall.
In the 4 individual benchmarks reported for both models, Claude Fable 5.2 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Large 4 is roughly 15.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Fable 5.2
- overall performance matters — it scores 61.1 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- you want the most recent training data — it shipped Nov 2026
Choose Mistral Large 4
- cost matters — it's about 15.2x 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
29 reported for Claude Fable 5.2 · 20 for Mistral Large 4
Claude Fable 5.2 outperforms in 3 benchmarks (DeepSWE 1.1, FrontierCode 2.0, Terminal-Bench 4.0), while Mistral Large 4 is better at 1 benchmark (AutomationBench).
Claude Fable 5.2 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Fable 5.2 ($8.00/1M tokens) is 11.4x more expensive than Mistral Large 4 ($0.70/1M tokens).
For output processing, Claude Fable 5.2 ($40.00/1M tokens) is 19.0x more expensive than Mistral Large 4 ($2.10/1M tokens).
In conclusion, Claude Fable 5.2 is more expensive than Mistral Large 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,000,000 tokens. Only Claude Fable 5.2 specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Claude Fable 5.2 and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Fable 5.2
Mistral Large 4
License
Usage and distribution terms
Claude Fable 5.2 is licensed under a proprietary license, while Mistral Large 4 uses Modified MIT License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Modified MIT License
Open weights
Release Timeline
When each model was launched
Claude Fable 5.2 was released on 2026-11-09, while Mistral Large 4 was released on 2026-10-06.
Claude Fable 5.2 is 1 month newer than Mistral Large 4.
Nov 9, 2026
3 days ago
1mo newerOct 6, 2026
1 months ago
Knowledge Cutoff
When training data ends
Claude Fable 5.2 has a documented knowledge cutoff of 2026-06-01, while Mistral Large 4's cutoff date is not specified.
We can confirm Claude Fable 5.2's training data extends to 2026-06-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.
Jun 2026
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Provider Availability
Claude Fable 5.2 is available from Anthropic. Mistral Large 4 is available from Mistral AI.
Claude Fable 5.2
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Fable 5.2 and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Fable 5.2 vs Mistral Large 4.