Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs DeepSeek VL2 SmallWhich is better in 2026?

Comparing DeepSeek R1 Distill Qwen 1.5B and DeepSeek VL2 Small across benchmarks, pricing, and capabilities.

Verdict: DeepSeek R1 Distill Qwen 1.5B vs DeepSeek VL2 Small — which is better?

DeepSeek R1 Distill Qwen 1.5B (by DeepSeek) and DeepSeek VL2 Small (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek R1 Distill Qwen 1.5B if…

  • you want the most recent training data — it shipped Jan 2025

Choose DeepSeek VL2 Small if…

  • you are already invested in the DeepSeek ecosystem
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 1.5B 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

14.2B diff

DeepSeek VL2 Small has 14.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 798.9% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
DeepSeek
DeepSeek VL2 Small
16.0Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
16.0B
DeepSeek VL2 Small

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Small supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

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

DeepSeek R1 Distill Qwen 1.5B

Text
Images
Audio
Video

DeepSeek VL2 Small

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while DeepSeek VL2 Small uses deepseek.

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

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

DeepSeek VL2 Small

deepseek

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while DeepSeek VL2 Small was released on 2024-12-13.

DeepSeek R1 Distill Qwen 1.5B is 1 month newer than DeepSeek VL2 Small.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.4 years ago

1mo newer
DeepSeek VL2 Small

Dec 13, 2024

1.5 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

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

DeepSeek
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
DeepSeek VL2 Small

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs DeepSeek VL2 Small.

Which is better, DeepSeek R1 Distill Qwen 1.5B or DeepSeek VL2 Small?

DeepSeek R1 Distill Qwen 1.5B (DeepSeek) 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 DeepSeek R1 Distill Qwen 1.5B compare to DeepSeek VL2 Small in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. 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 DeepSeek R1 Distill Qwen 1.5B and DeepSeek VL2 Small?

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

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