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Codestral-22B vs Mistral Small 3 24B Base

Codestral-22B and Mistral Small 3 24B Base are closely matched at 0.1 and -0.3 on the LLM Stats Score.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Codestral-22B and Mistral Small 3 24B Base are closely matched on the overall LLM Stats Score at 0.1 and -0.3.

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 Mistral Small 3 24B Base

  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Core performance indexes
0.1
#314
-0.3
#317
-0.0
#307
-0.4
#309
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Individual benchmarks

7 reported for Codestral-22B · 9 for Mistral Small 3 24B Base

1 shared

Codestral-22B outperforms in 1 benchmarks (MBPP), while Mistral Small 3 24B Base is better at 0 benchmarks.

Codestral-22B significantly outperforms across most benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1.4B diff

Mistral Small 3 24B Base has 1.4B more parameters than Codestral-22B, making it 6.3% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Mistral AI
Mistral Small 3 24B Base
23.6Bparameters
22.2B
Codestral-22B
23.6B
Mistral Small 3 24B Base

Input capabilities

Documented input modalities across available providers

Mistral Small 3 24B Base supports multimodal inputs, whereas Codestral-22B does not.

Mistral Small 3 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Mistral Small 3 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Mistral Small 3 24B Base uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Codestral-22B

MNPL-0.1

Open weights

Mistral Small 3 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Mistral Small 3 24B Base was released on 2025-01-30.

Mistral Small 3 24B Base is 8 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.3 years ago

Mistral Small 3 24B Base

Jan 30, 2025

1.6 years ago

8mo newer

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Base has a documented knowledge cutoff of 2023-10-01, while Codestral-22B's cutoff date is not specified.

We can confirm Mistral Small 3 24B Base's training data extends to 2023-10-01, but cannot make a direct comparison without Codestral-22B's cutoff date.

Codestral-22B

Mistral Small 3 24B Base

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Codestral-22B and Mistral Small 3 24B Base side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Mistral Small 3 24B Base
Open in Playground

FAQ

Common questions about Codestral-22B vs Mistral Small 3 24B Base.

Which is better, Codestral-22B or Mistral Small 3 24B Base?

Codestral-22B and Mistral Small 3 24B Base are closely matched on the LLM Stats Score at 0.1 and -0.3. Codestral-22B is made by Mistral AI and Mistral Small 3 24B Base is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to Mistral Small 3 24B Base in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%.

What are the main differences between Codestral-22B and Mistral Small 3 24B Base?

Key differences include LLM Stats Score (0.1 vs -0.3), multimodal support (no vs yes), licensing (MNPL-0.1 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.