Model Comparison

DeepSeek VL2 Small vs Gemma 2 9B

Comparing DeepSeek VL2 Small and Gemma 2 9B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Small and Gemma 2 9B 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

6.8B diff

DeepSeek VL2 Small has 6.8B more parameters than Gemma 2 9B, making it 73.2% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
Google
Gemma 2 9B
9.2Bparameters
16.0B
DeepSeek VL2 Small
9.2B
Gemma 2 9B

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Small supports multimodal inputs, whereas Gemma 2 9B 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

Gemma 2 9B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Gemma 2 9B uses Gemma.

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

DeepSeek VL2 Small

deepseek

Open weights

Gemma 2 9B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Gemma 2 9B was released on 2024-06-27.

DeepSeek VL2 Small is 6 months newer than Gemma 2 9B.

DeepSeek VL2 Small

Dec 13, 2024

1.4 years ago

5mo newer
Gemma 2 9B

Jun 27, 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Supports multimodal inputs
Google

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Small
Google
Gemma 2 9B

FAQ

Common questions about DeepSeek VL2 Small vs Gemma 2 9B.

Which is better, DeepSeek VL2 Small or Gemma 2 9B?

DeepSeek VL2 Small (DeepSeek) and Gemma 2 9B (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek VL2 Small compare to Gemma 2 9B in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%.

What are the main differences between DeepSeek VL2 Small and Gemma 2 9B?

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

Who makes DeepSeek VL2 Small and Gemma 2 9B?

DeepSeek VL2 Small is developed by DeepSeek and Gemma 2 9B is developed by Google.