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DeepSeek-V3 0324 vs Qwen2.5 VL 72B Instruct

DeepSeek-V3 0324 and Qwen2.5 VL 72B Instruct are closely matched at 13.4 and 12.7 on the LLM Stats Score.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek-V3 0324 and Qwen2.5 VL 72B Instruct are closely matched on the overall LLM Stats Score at 13.4 and 12.7.

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

Choose DeepSeek-V3 0324

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

Choose Qwen2.5 VL 72B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
13.4
#251
12.7
#256
13.6
#241
12.8
#247
Cost, coverage & limits
Benchmark wins
Input price
$0.24 / M
— / M
Output price
$0.90 / M
— / M
Context window
163,840

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3 0324
Qwen2.5 VL 72B Instruct
15.8#212
7.6#264
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for DeepSeek-V3 0324 · 30 for Qwen2.5 VL 72B Instruct

No common benchmarks found

DeepSeek-V3 0324 and Qwen2.5 VL 72B Instructdon'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

599.0B diff

DeepSeek-V3 0324 has 599.0B more parameters than Qwen2.5 VL 72B Instruct, making it 831.9% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
671.0B
DeepSeek-V3 0324
72.0B
Qwen2.5 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
Qwen2.5 VL 72B Instruct
Input- tokens
Output- tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2.5 VL 72B Instruct supports multimodal inputs, whereas DeepSeek-V3 0324 does not.

Qwen2.5 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

Qwen2.5 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 Qwen2.5 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

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

DeepSeek-V3 0324 is 2 months newer than Qwen2.5 VL 72B Instruct.

DeepSeek-V3 0324

Mar 25, 2025

1.5 years ago

1mo newer
Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.7 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

Judge for yourself.

Run your own prompts against DeepSeek-V3 0324 and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
Qwen2.5 VL 72B Instruct
Open in Playground

FAQ

Common questions about DeepSeek-V3 0324 vs Qwen2.5 VL 72B Instruct.

Which is better, DeepSeek-V3 0324 or Qwen2.5 VL 72B Instruct?

DeepSeek-V3 0324 and Qwen2.5 VL 72B Instruct are closely matched on the LLM Stats Score at 13.4 and 12.7. DeepSeek-V3 0324 is made by DeepSeek and Qwen2.5 VL 72B Instruct 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-V3 0324 compare to Qwen2.5 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%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.

What are the context window sizes for DeepSeek-V3 0324 and Qwen2.5 VL 72B Instruct?

DeepSeek-V3 0324 supports 164K tokens and Qwen2.5 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 Qwen2.5 VL 72B Instruct?

Key differences include LLM Stats Score (13.4 vs 12.7), 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 Qwen2.5 VL 72B Instruct?

DeepSeek-V3 0324 is developed by DeepSeek and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.