Model Comparison

QvQ-72B-Preview vs Qwen2.5 7B InstructWhich is better in 2026?

Comparing QvQ-72B-Preview and Qwen2.5 7B Instruct across benchmarks, pricing, and capabilities.

Verdict: QvQ-72B-Preview vs Qwen2.5 7B Instruct — which is better?

QvQ-72B-Preview (by Alibaba Cloud / Qwen Team) and Qwen2.5 7B 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 QvQ-72B-Preview if…

  • you want the most recent training data — it shipped Dec 2024

Choose Qwen2.5 7B Instruct if…

  • you want predictable pricing at $0.30/M input and $0.30/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

QvQ-72B-Preview and Qwen2.5 7B 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

65.8B diff

QvQ-72B-Preview has 65.8B more parameters than Qwen2.5 7B Instruct, making it 864.5% larger.

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
73.4B
QvQ-72B-Preview
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

QvQ-72B-Preview supports multimodal inputs, whereas Qwen2.5 7B Instruct does not.

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

QvQ-72B-Preview

Text
Images
Audio
Video

Qwen2.5 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

QvQ-72B-Preview is licensed under Qwen, while Qwen2.5 7B Instruct uses Apache 2.0.

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

QvQ-72B-Preview

Qwen

Open weights

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

QvQ-72B-Preview was released on 2024-12-25, while Qwen2.5 7B Instruct was released on 2024-09-19.

QvQ-72B-Preview is 3 months newer than Qwen2.5 7B Instruct.

QvQ-72B-Preview

Dec 25, 2024

1.6 years ago

3mo newer
Qwen2.5 7B Instruct

Sep 19, 2024

1.9 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

Key Takeaways

Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against QvQ-72B-Preview and Qwen2.5 7B Instruct side-by-side, then vote on the output you prefer.

QvQ-72B-Preview
✓ Preferred
Qwen2.5 7B Instruct
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about QvQ-72B-Preview vs Qwen2.5 7B Instruct.

Which is better, QvQ-72B-Preview or Qwen2.5 7B Instruct?

QvQ-72B-Preview (Alibaba Cloud / Qwen Team) and Qwen2.5 7B 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 QvQ-72B-Preview compare to Qwen2.5 7B Instruct in benchmarks?

QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

What are the context window sizes for QvQ-72B-Preview and Qwen2.5 7B Instruct?

QvQ-72B-Preview supports an unknown number of tokens and Qwen2.5 7B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between QvQ-72B-Preview and Qwen2.5 7B Instruct?

Key differences include multimodal support (yes vs no), licensing (Qwen vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.