Claude Fable 5.2 vs Mistral Small 3 24B Instruct
Claude Fable 5.2 leads the LLM Stats Score 61.1 to 3.6. Mistral Small 3 24B Instruct is 278.3x 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 3.6, ranking #1 overall.
On price, Mistral Small 3 24B Instruct is roughly 278.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Fable 5.2 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 5.2
- 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 process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Nov 2026
Choose Mistral Small 3 24B Instruct
- cost matters — it's about 278.3x 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 · 8 for Mistral Small 3 24B Instruct
Claude Fable 5.2 and Mistral Small 3 24B Instructdon'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
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Fable 5.2 ($8.00/1M tokens) is 160.0x more expensive than Mistral Small 3 24B Instruct ($0.05/1M tokens).
For output processing, Claude Fable 5.2 ($40.00/1M tokens) is 500.0x more expensive than Mistral Small 3 24B Instruct ($0.08/1M tokens).
In conclusion, Claude Fable 5.2 is more expensive than Mistral Small 3 24B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Fable 5.2 accepts 1,000,000 input tokens compared to Mistral Small 3 24B Instruct's 32,768 tokens. Claude Fable 5.2 can generate longer responses up to 128,000 tokens, while Mistral Small 3 24B Instruct is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Claude Fable 5.2 supports multimodal inputs, whereas Mistral Small 3 24B Instruct does not.
Claude Fable 5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Fable 5.2
Mistral Small 3 24B Instruct
License
Usage and distribution terms
Claude Fable 5.2 is licensed under a proprietary license, while Mistral Small 3 24B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Claude Fable 5.2 was released on 2026-11-09, while Mistral Small 3 24B Instruct was released on 2025-01-30.
Claude Fable 5.2 is 22 months newer than Mistral Small 3 24B Instruct.
Nov 9, 2026
4 days ago
1.8yr newerJan 30, 2025
1.8 years ago
Knowledge Cutoff
When training data ends
Claude Fable 5.2 has a knowledge cutoff of 2026-06-01, while Mistral Small 3 24B Instruct has a cutoff of 2023-10-01.
Claude Fable 5.2 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Mistral Small 3 24B Instruct (2023-10-01).
Jun 2026
2.7 yr newerOct 2023
Provider Availability
Claude Fable 5.2 is available from Anthropic. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.
Claude Fable 5.2
Mistral Small 3 24B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Fable 5.2 and Mistral Small 3 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Fable 5.2 vs Mistral Small 3 24B Instruct.