Model Comparison

Codestral-22B vs Qwen2-VL-72B-Instruct

Comparing Codestral-22B and Qwen2-VL-72B-Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Codestral-22B and Qwen2-VL-72B-Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

51.2B diff

Qwen2-VL-72B-Instruct has 51.2B more parameters than Codestral-22B, making it 230.6% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
22.2B
Codestral-22B
73.4B
Qwen2-VL-72B-Instruct

Input Capabilities

Supported data types and modalities

Qwen2-VL-72B-Instruct supports multimodal inputs, whereas Codestral-22B does not.

Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Codestral-22B

MNPL-0.1

Open weights

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Qwen2-VL-72B-Instruct is 3 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

1.9 years ago

Qwen2-VL-72B-Instruct

Aug 29, 2024

1.7 years ago

3mo newer

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Codestral-22B's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Codestral-22B's cutoff date.

Codestral-22B

—

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

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Key Takeaways

Mistral AI

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct

FAQ

Common questions about Codestral-22B vs Qwen2-VL-72B-Instruct.

Which is better, Codestral-22B or Qwen2-VL-72B-Instruct?

Codestral-22B (Mistral AI) and Qwen2-VL-72B-Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Codestral-22B compare to Qwen2-VL-72B-Instruct in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench_test: 86.5%.

What are the main differences between Codestral-22B and Qwen2-VL-72B-Instruct?

Key differences include multimodal support (no vs yes), licensing (MNPL-0.1 vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Qwen2-VL-72B-Instruct?

Codestral-22B is developed by Mistral AI and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.