The AI arena is free today

Open Superagent

DeepSeek-V4-Pro-0813 vs QvQ-72B-Preview

Comparing DeepSeek-V4-Pro-0813 and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and QvQ-72B-Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Pro-0813

  • you want the most recent training data — it shipped Aug 2026

Choose QvQ-72B-Preview

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

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Dec 2024
License
MIT
Qwen

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Pro-0813 and QvQ-72B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

1526.6B diff

DeepSeek-V4-Pro-0813 has 1526.6B more parameters than QvQ-72B-Preview, making it 2079.8% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
1600.0B
DeepSeek-V4-Pro-0813
73.4B
QvQ-72B-Preview

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

QvQ-72B-Preview supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.

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

DeepSeek-V4-Pro-0813

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 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-V4-Pro-0813

MIT

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while QvQ-72B-Preview was released on 2024-12-25.

DeepSeek-V4-Pro-0813 is 20 months newer than QvQ-72B-Preview.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

1.6yr newer
QvQ-72B-Preview

Dec 25, 2024

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-V4-Pro-0813 and QvQ-72B-Preview side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs QvQ-72B-Preview.

Which is better, DeepSeek-V4-Pro-0813 or QvQ-72B-Preview?

DeepSeek-V4-Pro-0813 (DeepSeek) and QvQ-72B-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-V4-Pro-0813 compare to QvQ-72B-Preview in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for DeepSeek-V4-Pro-0813 and QvQ-72B-Preview?

DeepSeek-V4-Pro-0813 supports 1.0M 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-V4-Pro-0813 and QvQ-72B-Preview?

Key differences include multimodal support (no vs yes), licensing (MIT vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and QvQ-72B-Preview?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.

Related comparisons