Model Comparison

GPT OSS 20B vs QvQ-72B-Preview

Comparing GPT OSS 20B and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT OSS 20B and QvQ-72B-Preview 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
Thu Apr 16 2026 • llm-stats.com
OpenAI
GPT OSS 20B
Input tokens$0.05
Output tokens$0.20
Best providerNovita
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

52.5B diff

QvQ-72B-Preview has 52.5B more parameters than GPT OSS 20B, making it 251.2% larger.

OpenAI
GPT OSS 20B
20.9Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
20.9B
GPT OSS 20B
73.4B
QvQ-72B-Preview

Context Window

Maximum input and output token capacity

Only GPT OSS 20B specifies input context (131,072 tokens). Only GPT OSS 20B specifies output context (32,768 tokens).

OpenAI
GPT OSS 20B
Input131,072 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

QvQ-72B-Preview supports multimodal inputs, whereas GPT OSS 20B does not.

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

GPT OSS 20B

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GPT OSS 20B is licensed under Apache 2.0, while QvQ-72B-Preview uses Qwen.

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

GPT OSS 20B

Apache 2.0

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

GPT OSS 20B was released on 2025-08-05, while QvQ-72B-Preview was released on 2024-12-25.

GPT OSS 20B is 7 months newer than QvQ-72B-Preview.

GPT OSS 20B

Aug 5, 2025

8 months ago

7mo newer
QvQ-72B-Preview

Dec 25, 2024

1.3 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

OpenAI
Larger context window (131,072 tokens)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT OSS 20B
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about GPT OSS 20B vs QvQ-72B-Preview

GPT OSS 20B (OpenAI) 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.
GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.
GPT OSS 20B supports 131K 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.
Key differences include multimodal support (no vs yes), licensing (Apache 2.0 vs Qwen). See the full comparison above for benchmark-by-benchmark results.
GPT OSS 20B is developed by OpenAI and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.