Codestral-22B vs Llama 4 Scout
Codestral-22B and Llama 4 Scout are closely matched at 0.0 and 7.8 on the LLM Stats Score.
Mistral AI · Meta · Updated for 2026
Which is better?
Codestral-22B and Llama 4 Scout are closely matched on the overall LLM Stats Score at 0.0 and 7.8.
In the 1 individual benchmarks reported for both models, Codestral-22B wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Codestral-22B
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose Llama 4 Scout
- you want the most recent training data — it shipped Apr 2025
At a glance
The differences that matter most.
Individual benchmarks
7 reported for Codestral-22B · 12 for Llama 4 Scout
Codestral-22B outperforms in 1 benchmarks (MBPP), while Llama 4 Scout is better at 0 benchmarks.
Codestral-22B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Llama 4 Scout has 86.8B more parameters than Codestral-22B, making it 391.0% larger.
Context Window
Maximum input and output token capacity
Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Llama 4 Scout supports multimodal inputs, whereas Codestral-22B does not.
Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.
Codestral-22B
Llama 4 Scout
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Llama 4 Scout uses Llama 4 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while Llama 4 Scout was released on 2025-04-05.
Llama 4 Scout is 10 months newer than Codestral-22B.
May 29, 2024
2.3 years ago
Apr 5, 2025
1.4 years ago
10mo newerKnowledge 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 Codestral-22B and Llama 4 Scout side-by-side, then vote on the output you prefer.
FAQ
Common questions about Codestral-22B vs Llama 4 Scout.