Model Comparison

DeepSeek-V3 0324 vs Qwen2-VL-72B-InstructWhich is better in 2026?

Comparing DeepSeek-V3 0324 and Qwen2-VL-72B-Instruct across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-V3 0324 vs Qwen2-VL-72B-Instruct — which is better?

DeepSeek-V3 0324 (by DeepSeek) and Qwen2-VL-72B-Instruct (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-V3 0324 if…

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

Choose Qwen2-VL-72B-Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3 0324 and Qwen2-VL-72B-Instructdon'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 0324 has 597.6B more parameters than Qwen2-VL-72B-Instruct, making it 814.2% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
671.0B
DeepSeek-V3 0324
73.4B
Qwen2-VL-72B-Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2-VL-72B-Instruct supports multimodal inputs, whereas DeepSeek-V3 0324 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 0324

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 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 0324

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 0324 was released on 2025-03-25, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

DeepSeek-V3 0324 is 7 months newer than Qwen2-VL-72B-Instruct.

DeepSeek-V3 0324

Mar 25, 2025

1.3 years ago

6mo newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while DeepSeek-V3 0324'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 0324's cutoff date.

DeepSeek-V3 0324

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (163,840 tokens)
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3 0324 and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct

FAQ

Common questions about DeepSeek-V3 0324 vs Qwen2-VL-72B-Instruct.

Which is better, DeepSeek-V3 0324 or Qwen2-VL-72B-Instruct?

DeepSeek-V3 0324 (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 0324 compare to Qwen2-VL-72B-Instruct in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. 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 0324 and Qwen2-VL-72B-Instruct?

DeepSeek-V3 0324 supports 164K 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 0324 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 0324 and Qwen2-VL-72B-Instruct?

DeepSeek-V3 0324 is developed by DeepSeek and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.