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Codestral-22B vs Qwen3 235B A22B

Qwen3 235B A22B leads the LLM Stats Score 15.7 to 0.1.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 235B A22B leads the overall LLM Stats Score 15.7 to 0.1, ranking #218 overall.

In the 1 individual benchmarks reported for both models, Qwen3 235B A22B 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 Qwen3 235B A22B

  • overall performance matters — it scores 15.7 and ranks #218 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
0.1
#315
15.7
#218
-0.0
#308
16.3
#206
2.5
#219
12.4
#143
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.10 / M
Output price
— / M
$0.10 / M
Context window
128,000

Individual benchmarks

7 reported for Codestral-22B · 23 for Qwen3 235B A22B

1 shared

Codestral-22B outperforms in 0 benchmarks, while Qwen3 235B A22B is better at 1 benchmark (MBPP).

Qwen3 235B A22B significantly outperforms across most benchmarks.

Tue Sep 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

212.8B diff

Qwen3 235B A22B has 212.8B more parameters than Codestral-22B, making it 958.6% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
22.2B
Codestral-22B
235.0B
Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Only Qwen3 235B A22B specifies input context (128,000 tokens). Only Qwen3 235B A22B specifies output context (128,000 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Tue Sep 08 2026 • llm-stats.com

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Qwen3 235B A22B 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

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Qwen3 235B A22B was released on 2025-04-29.

Qwen3 235B A22B is 11 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.3 years ago

Qwen3 235B A22B

Apr 29, 2025

1.4 years ago

11mo 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 Qwen3 235B A22B side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Qwen3 235B A22B
Open in Playground

FAQ

Common questions about Codestral-22B vs Qwen3 235B A22B.

Which is better, Codestral-22B or Qwen3 235B A22B?

Qwen3 235B A22B leads the LLM Stats Score 15.7 to 0.1. Codestral-22B is made by Mistral AI and Qwen3 235B A22B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to Qwen3 235B A22B in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

What are the context window sizes for Codestral-22B and Qwen3 235B A22B?

Codestral-22B supports an unknown number of tokens and Qwen3 235B A22B 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 Qwen3 235B A22B?

Key differences include LLM Stats Score (0.1 vs 15.7), licensing (MNPL-0.1 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Qwen3 235B A22B?

Codestral-22B is developed by Mistral AI and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.