Model Comparison

Codestral-22B vs DeepSeek VL2 Small

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

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Codestral-22B and DeepSeek VL2 Small 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

6.2B diff

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

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

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.

Codestral-22B

Text
Images
Audio
Video

DeepSeek VL2 Small

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

Codestral-22B

MNPL-0.1

Open weights

DeepSeek VL2 Small

deepseek

Open weights

Release Timeline

When each model was launched

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

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

Codestral-22B

May 29, 2024

2.0 years ago

DeepSeek VL2 Small

Dec 13, 2024

1.4 years ago

6mo 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

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

DeepSeek
Supports multimodal inputs

Detailed Comparison

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

FAQ

Common questions about Codestral-22B vs DeepSeek VL2 Small.

Which is better, Codestral-22B or DeepSeek VL2 Small?

Codestral-22B (Mistral AI) and DeepSeek VL2 Small (DeepSeek) 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 DeepSeek VL2 Small in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%.

What are the main differences between Codestral-22B and DeepSeek VL2 Small?

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

Who makes Codestral-22B and DeepSeek VL2 Small?

Codestral-22B is developed by Mistral AI and DeepSeek VL2 Small is developed by DeepSeek.