Model Comparison

DeepSeek R1 Distill Qwen 7B vs DeepSeek VL2Which is better in 2026?

Comparing DeepSeek R1 Distill Qwen 7B and DeepSeek VL2 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek R1 Distill Qwen 7B vs DeepSeek VL2 — which is better?

DeepSeek R1 Distill Qwen 7B (by DeepSeek) and DeepSeek VL2 (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 7B if…

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

Choose DeepSeek VL2 if…

  • you are already invested in the DeepSeek ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 7B and DeepSeek VL2don'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

19.4B diff

DeepSeek VL2 has 19.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 254.3% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
DeepSeek
DeepSeek VL2
27.0Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
27.0B
DeepSeek VL2

Context Window

Maximum input and output token capacity

Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Wed Jun 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B does not.

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

DeepSeek R1 Distill Qwen 7B

Text
Images
Audio
Video

DeepSeek VL2

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B is licensed under MIT, while DeepSeek VL2 uses deepseek.

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

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

DeepSeek VL2

deepseek

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while DeepSeek VL2 was released on 2024-12-13.

DeepSeek R1 Distill Qwen 7B is 1 month newer than DeepSeek VL2.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.4 years ago

1mo newer
DeepSeek VL2

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek

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

DeepSeek
Larger context window (129,280 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 7B
DeepSeek
DeepSeek VL2

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs DeepSeek VL2.

Which is better, DeepSeek R1 Distill Qwen 7B or DeepSeek VL2?

DeepSeek R1 Distill Qwen 7B (DeepSeek) and DeepSeek VL2 (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 7B compare to DeepSeek VL2 in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and DeepSeek VL2?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and DeepSeek VL2 supports 129K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 7B and DeepSeek VL2?

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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