Model Comparison

Codestral-22B vs Qwen2.5 7B Instruct

Qwen2.5 7B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Codestral-22B outperforms in 0 benchmarks, while Qwen2.5 7B Instruct is better at 2 benchmarks (HumanEval, MBPP).

Qwen2.5 7B Instruct significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

14.6B diff

Codestral-22B has 14.6B more parameters than Qwen2.5 7B Instruct, making it 191.7% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
22.2B
Codestral-22B
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Qwen2.5 7B Instruct 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

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Qwen2.5 7B Instruct was released on 2024-09-19.

Qwen2.5 7B Instruct is 4 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

1.9 years ago

Qwen2.5 7B Instruct

Sep 19, 2024

1.6 years ago

3mo 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

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Key Takeaways

Mistral AI
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher HumanEval score (84.8% vs 81.1%)
Higher MBPP score (79.2% vs 78.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about Codestral-22B vs Qwen2.5 7B Instruct

Qwen2.5 7B Instruct significantly outperforms across most benchmarks. Codestral-22B is made by Mistral AI and Qwen2.5 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.
Codestral-22B supports an unknown number of tokens and Qwen2.5 7B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (MNPL-0.1 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Codestral-22B is developed by Mistral AI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.