Model Comparison

DeepSeek VL2 vs QwQ-32B-Preview

Comparing DeepSeek VL2 and QwQ-32B-Preview across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and QwQ-32B-Preview don'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

5.5B diff

QwQ-32B-Preview has 5.5B more parameters than DeepSeek VL2, making it 20.4% larger.

DeepSeek VL2

27.0Bparameters

QwQ-32B-Preview

32.5Bparameters

27.0B

DeepSeek VL2

32.5B

QwQ-32B-Preview

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to QwQ-32B-Preview's 32,768 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

DeepSeek VL2

Input129,280 tokens

Output129,280 tokens

QwQ-32B-Preview

Input32,768 tokens

Output32,768 tokens

Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas QwQ-32B-Preview does not.

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

DeepSeek VL2

Text

Images

Audio

Video

QwQ-32B-Preview

Text

Images

Audio

Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while QwQ-32B-Preview uses Apache 2.0.

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

DeepSeek VL2

deepseek

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while QwQ-32B-Preview was released on 2024-11-28.

DeepSeek VL2 is 1 month newer than QwQ-32B-Preview.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

2w newer

QwQ-32B-Preview

Nov 28, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while DeepSeek VL2's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

QwQ-32B-Preview

Nov 2024

Provider Availability

DeepSeek VL2 is available from Replicate. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

DeepSeek VL2

Replicate

QwQ-32B-Preview

Deepinfra

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Hyperbolic

Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Together

Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek VL2

View details

DeepSeek

Larger context window (129,280 tokens)

Supports multimodal inputs

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

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

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek VL2	QwQ-32B-Preview

FAQ

Common questions about DeepSeek VL2 vs QwQ-32B-Preview.

Which is better, DeepSeek VL2 or QwQ-32B-Preview?

DeepSeek VL2 (DeepSeek) and QwQ-32B-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 VL2 compare to QwQ-32B-Preview in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

What are the context window sizes for DeepSeek VL2 and QwQ-32B-Preview?

DeepSeek VL2 supports 129K tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 and QwQ-32B-Preview?

Key differences include context window (129K vs 33K), multimodal support (yes vs no), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and QwQ-32B-Preview?

DeepSeek VL2 is developed by DeepSeek and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.