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Codestral-22B vs Mistral Large 2

Codestral-22B and Mistral Large 2 are closely matched at 0.1 and 7.7 on the LLM Stats Score.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Codestral-22B and Mistral Large 2 are closely matched on the overall LLM Stats Score at 0.1 and 7.7.

In the 1 individual benchmarks reported for both models, Mistral Large 2 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 are already invested in the Mistral AI ecosystem

Choose Mistral Large 2

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jul 2024

At a glance

The differences that matter most.

Codestral-22B
Mistral AI
Mistral Large 2
Mistral AI
Core performance indexes
LLM Stats Score
0.1
#314
7.7
#275
Reasoning
-0.0
#307
7.7
#268
Coding
2.5
#218
13.1
#130
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
—
128,000

Individual benchmarks

7 reported for Codestral-22B · 5 for Mistral Large 2

1 shared

Codestral-22B outperforms in 0 benchmarks, while Mistral Large 2 is better at 1 benchmark (HumanEval).

Mistral Large 2 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

100.8B diff

Mistral Large 2 has 100.8B more parameters than Codestral-22B, making it 454.1% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
22.2B
Codestral-22B
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Mistral Large 2 uses Mistral Research License.

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

Codestral-22B

MNPL-0.1

Open weights

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Mistral Large 2 was released on 2024-07-24.

Mistral Large 2 is 2 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.3 years ago

Mistral Large 2

Jul 24, 2024

2.1 years ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Codestral-22B and Mistral Large 2 side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Mistral Large 2
Open in Playground

FAQ

Common questions about Codestral-22B vs Mistral Large 2.

Which is better, Codestral-22B or Mistral Large 2?

Codestral-22B and Mistral Large 2 are closely matched on the LLM Stats Score at 0.1 and 7.7. Codestral-22B is made by Mistral AI and Mistral Large 2 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 Large 2 in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

What are the context window sizes for Codestral-22B and Mistral Large 2?

Codestral-22B supports an unknown number of tokens and Mistral Large 2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Codestral-22B and Mistral Large 2?

Key differences include LLM Stats Score (0.1 vs 7.7), licensing (MNPL-0.1 vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

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