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DeepSeek R1 Zero vs Qwen2.5 VL 7B Instruct

Comparing DeepSeek R1 Zero and Qwen2.5 VL 7B Instruct across benchmarks, pricing, and capabilities.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek R1 Zero and Qwen2.5 VL 7B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek R1 Zero

  • you are already invested in the DeepSeek ecosystem

Choose Qwen2.5 VL 7B Instruct

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

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Jan 2025
Jan 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Zero and Qwen2.5 VL 7B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

662.7B diff

DeepSeek R1 Zero has 662.7B more parameters than Qwen2.5 VL 7B Instruct, making it 7994.1% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
671.0B
DeepSeek R1 Zero
8.3B
Qwen2.5 VL 7B Instruct

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 7B Instruct supports multimodal inputs, whereas DeepSeek R1 Zero does not.

Qwen2.5 VL 7B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Zero

Text
Images
Audio
Video

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while Qwen2.5 VL 7B Instruct uses Apache 2.0.

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

DeepSeek R1 Zero

MIT

Open weights

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

Qwen2.5 VL 7B Instruct is 0 month newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.6 years ago

6d 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

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Zero and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
Qwen2.5 VL 7B Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs Qwen2.5 VL 7B Instruct.

Which is better, DeepSeek R1 Zero or Qwen2.5 VL 7B Instruct?

DeepSeek R1 Zero (DeepSeek) and Qwen2.5 VL 7B Instruct (Alibaba Cloud / Qwen Team) 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 Zero compare to Qwen2.5 VL 7B Instruct in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.

What are the main differences between DeepSeek R1 Zero and Qwen2.5 VL 7B Instruct?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and Qwen2.5 VL 7B Instruct?

DeepSeek R1 Zero is developed by DeepSeek and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.