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DeepSeek R1 Distill Qwen 7B vs DeepSeek VL2

DeepSeek R1 Distill Qwen 7B leads the LLM Stats Score 8.4 to 2.9.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 7B leads the overall LLM Stats Score 8.4 to 2.9, ranking #279 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Qwen 7B

  • overall performance matters — it scores 8.4 and ranks #279 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jan 2025

Choose DeepSeek VL2

  • you are already invested in the DeepSeek ecosystem

At a glance

The differences that matter most.

Core performance indexes
8.4
#279
2.9
#311
8.7
#270
-1.9
#329
Cost, coverage & limits
Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window
129,280

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 7B · 14 for DeepSeek VL2

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.

Human preference

Blind head-to-head votes and playground preference scores

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
Tue Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

1.7 years ago

1mo newer
DeepSeek VL2

Dec 13, 2024

1.8 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

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 7B and DeepSeek VL2 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
DeepSeek VL2
Open in Playground

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 leads the LLM Stats Score 8.4 to 2.9. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and DeepSeek VL2 is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

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 LLM Stats Score (8.4 vs 2.9), multimodal support (no vs yes), licensing (MIT vs deepseek). See the full comparison above for benchmark-by-benchmark results.