Model Comparison

DeepSeek-V3 vs Qwen2-VL-72B-Instruct

Comparing DeepSeek-V3 and Qwen2-VL-72B-Instruct across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3 and Qwen2-VL-72B-Instruct 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

597.6B diff

DeepSeek-V3 has 597.6B more parameters than Qwen2-VL-72B-Instruct, making it 814.2% larger.

DeepSeek-V3

671.0Bparameters

Qwen2-VL-72B-Instruct

73.4Bparameters

671.0B

DeepSeek-V3

73.4B

Qwen2-VL-72B-Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).

DeepSeek-V3

Input131,072 tokens

Output131,072 tokens

Qwen2-VL-72B-Instruct

Input- tokens

Output- tokens

Thu May 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2-VL-72B-Instruct supports multimodal inputs, whereas DeepSeek-V3 does not.

Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text

Images

Audio

Video

Qwen2-VL-72B-Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

DeepSeek-V3 is 4 months newer than Qwen2-VL-72B-Instruct.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

3mo newer

Qwen2-VL-72B-Instruct

Aug 29, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while DeepSeek-V3's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without DeepSeek-V3's cutoff date.

DeepSeek-V3

—

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek-V3

View details

DeepSeek

Larger context window (131,072 tokens)

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-V3	Qwen2-VL-72B-Instruct

FAQ

Common questions about DeepSeek-V3 vs Qwen2-VL-72B-Instruct.

Which is better, DeepSeek-V3 or Qwen2-VL-72B-Instruct?

DeepSeek-V3 (DeepSeek) and Qwen2-VL-72B-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-V3 compare to Qwen2-VL-72B-Instruct in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for DeepSeek-V3 and Qwen2-VL-72B-Instruct?

DeepSeek-V3 supports 131K tokens and Qwen2-VL-72B-Instruct 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-V3 and Qwen2-VL-72B-Instruct?

Key differences include multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Qwen2-VL-72B-Instruct?

DeepSeek-V3 is developed by DeepSeek and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.