Model Comparison

DeepSeek VL2 Small vs Codestral-22B

Comparing DeepSeek VL2 Small and Codestral-22B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Small and Codestral-22B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
DeepSeek
DeepSeek VL2 Small
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

6.2B diff

Codestral-22B has 6.2B more parameters than DeepSeek VL2 Small, making it 38.8% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
Mistral AI
Codestral-22B
22.2Bparameters
16.0B
DeepSeek VL2 Small
22.2B
Codestral-22B

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Small supports multimodal inputs, whereas Codestral-22B does not.

DeepSeek VL2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2 Small

Text
Images
Audio
Video

Codestral-22B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Codestral-22B uses MNPL-0.1.

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

DeepSeek VL2 Small

deepseek

Open weights

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Codestral-22B was released on 2024-05-29.

DeepSeek VL2 Small is 7 months newer than Codestral-22B.

DeepSeek VL2 Small

Dec 13, 2024

1.4 years ago

6mo newer
Codestral-22B

May 29, 2024

1.9 years ago

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

DeepSeek
Supports multimodal inputs
Mistral AI

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Small
Mistral AI
Codestral-22B

FAQ

Common questions about DeepSeek VL2 Small vs Codestral-22B

DeepSeek VL2 Small (DeepSeek) and Codestral-22B (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%.
Key differences include multimodal support (yes vs no), licensing (deepseek vs MNPL-0.1). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 Small is developed by DeepSeek and Codestral-22B is developed by Mistral AI.