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DeepSeek R1 Distill Qwen 32B vs QvQ-72B-Preview

DeepSeek R1 Distill Qwen 32B and QvQ-72B-Preview are closely matched at 13.1 and 7.8 on the LLM Stats Score.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 32B and QvQ-72B-Preview are closely matched on the overall LLM Stats Score at 13.1 and 7.8.

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

Choose DeepSeek R1 Distill Qwen 32B

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

Choose QvQ-72B-Preview

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Core performance indexes
13.1
#264
7.8
#298
13.3
#253
8.2
#291
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.12 / M
— / M
Output price
$0.18 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 32B
QvQ-72B-Preview
15.1#223
9.6#259
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 4 for QvQ-72B-Preview

No common benchmarks found

DeepSeek R1 Distill Qwen 32B and QvQ-72B-Previewdon'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

40.6B diff

QvQ-72B-Preview has 40.6B more parameters than DeepSeek R1 Distill Qwen 32B, making it 123.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
73.4B
QvQ-72B-Preview

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

QvQ-72B-Preview supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B 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 32B

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B 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 32B

MIT

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while QvQ-72B-Preview was released on 2024-12-25.

DeepSeek R1 Distill Qwen 32B is 1 month newer than QvQ-72B-Preview.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.7 years ago

3w newer
QvQ-72B-Preview

Dec 25, 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?

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 32B and QvQ-72B-Preview side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs QvQ-72B-Preview.

Which is better, DeepSeek R1 Distill Qwen 32B or QvQ-72B-Preview?

DeepSeek R1 Distill Qwen 32B and QvQ-72B-Preview are closely matched on the LLM Stats Score at 13.1 and 7.8. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 32B compare to QvQ-72B-Preview in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and QvQ-72B-Preview?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and QvQ-72B-Preview supports an unknown number of 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 32B and QvQ-72B-Preview?

Key differences include LLM Stats Score (13.1 vs 7.8), 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 32B and QvQ-72B-Preview?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.