Model Comparison

QvQ-72B-Preview vs Qwen3 235B A22B

Comparing QvQ-72B-Preview and Qwen3 235B A22B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

QvQ-72B-Preview and Qwen3 235B A22B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input tokens$0.10
Output tokens$0.10
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

161.6B diff

Qwen3 235B A22B has 161.6B more parameters than QvQ-72B-Preview, making it 220.2% larger.

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
73.4B
QvQ-72B-Preview
235.0B
Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Only Qwen3 235B A22B specifies input context (128,000 tokens). Only Qwen3 235B A22B specifies output context (128,000 tokens).

Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

QvQ-72B-Preview supports multimodal inputs, whereas Qwen3 235B A22B 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

Qwen3 235B A22B

Text
Images
Audio
Video

License

Usage and distribution terms

QvQ-72B-Preview is licensed under Qwen, while Qwen3 235B A22B 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

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

QvQ-72B-Preview was released on 2024-12-25, while Qwen3 235B A22B was released on 2025-04-29.

Qwen3 235B A22B is 4 months newer than QvQ-72B-Preview.

QvQ-72B-Preview

Dec 25, 2024

1.3 years ago

Qwen3 235B A22B

Apr 29, 2025

11 months ago

4mo newer

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

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
Qwen3 235B A22B

FAQ

Common questions about QvQ-72B-Preview vs Qwen3 235B A22B

QvQ-72B-Preview (Alibaba Cloud / Qwen Team) and Qwen3 235B A22B (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.
QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.
QvQ-72B-Preview supports an unknown number of tokens and Qwen3 235B A22B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Qwen vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.