Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs QvQ-72B-PreviewWhich is better in 2026?

Comparing DeepSeek R1 Distill Qwen 1.5B and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

Verdict: DeepSeek R1 Distill Qwen 1.5B vs QvQ-72B-Preview — which is better?

DeepSeek R1 Distill Qwen 1.5B (by DeepSeek) and QvQ-72B-Preview (by Alibaba Cloud / Qwen Team) 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 QvQ-72B-Preview if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 1.5B and QvQ-72B-Previewdon'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

71.6B diff

QvQ-72B-Preview has 71.6B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 4023.6% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
73.4B
QvQ-72B-Preview

Input Capabilities

Supported data types and modalities

QvQ-72B-Preview supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

QvQ-72B-Preview 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

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while QvQ-72B-Preview uses Qwen.

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

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while QvQ-72B-Preview was released on 2024-12-25.

DeepSeek R1 Distill Qwen 1.5B is 1 month newer than QvQ-72B-Preview.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.4 years ago

3w newer
QvQ-72B-Preview

Dec 25, 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.

Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs QvQ-72B-Preview.

Which is better, DeepSeek R1 Distill Qwen 1.5B or QvQ-72B-Preview?

DeepSeek R1 Distill Qwen 1.5B (DeepSeek) and QvQ-72B-Preview (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 Distill Qwen 1.5B compare to QvQ-72B-Preview in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the main differences between DeepSeek R1 Distill Qwen 1.5B and QvQ-72B-Preview?

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

Who makes DeepSeek R1 Distill Qwen 1.5B and QvQ-72B-Preview?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.

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