Model Comparison

Codestral-22B vs Qwen2 7B Instruct

Codestral-22B significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

Codestral-22B significantly outperforms across most benchmarks.

Mon Apr 13 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
Mon Apr 13 2026 • llm-stats.com
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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 7B Instruct, making it 191.3% larger.

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

License

Usage and distribution terms

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

Apache 2.0

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Qwen2 7B Instruct was released on 2024-07-23.

Qwen2 7B Instruct is 2 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

1.9 years ago

Qwen2 7B Instruct

Jul 23, 2024

1.7 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→

Key Takeaways

Mistral AI
Higher HumanEval score (81.1% vs 79.9%)
Higher MBPP score (78.2% vs 67.2%)
Alibaba Cloud / Qwen Team

Qwen2 7B Instruct

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

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

FAQ

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

Codestral-22B significantly outperforms across most benchmarks. Codestral-22B is made by Mistral AI and Qwen2 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 7B Instruct scores MT-Bench: 84.1%, GSM8k: 82.3%, HumanEval: 79.9%, C-Eval: 77.2%, AlignBench: 72.1%.
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 7B Instruct is developed by Alibaba Cloud / Qwen Team.