Model Comparison

GPT OSS 20B High vs Qwen3 VL 32B Instruct

GPT OSS 20B High significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT OSS 20B High outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3 VL 32B Instruct is better at 0 benchmarks.

GPT OSS 20B High significantly outperforms across most benchmarks.

Wed Jun 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

12.1B diff

Qwen3 VL 32B Instruct has 12.1B more parameters than GPT OSS 20B High, making it 57.9% larger.

GPT OSS 20B High

20.9Bparameters

Qwen3 VL 32B Instruct

33.0Bparameters

20.9B

GPT OSS 20B High

33.0B

Qwen3 VL 32B Instruct

Context Window

Maximum input and output token capacity

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

GPT OSS 20B High

Input131,072 tokens

Output131,072 tokens

Qwen3 VL 32B Instruct

Input- tokens

Output- tokens

Wed Jun 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Instruct supports multimodal inputs, whereas GPT OSS 20B High does not.

Qwen3 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT OSS 20B High

Text

Images

Audio

Video

Qwen3 VL 32B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

GPT OSS 20B High

Apache 2.0

Open weights

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT OSS 20B High was released on 2025-08-05, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 2 months newer than GPT OSS 20B High.

GPT OSS 20B High

Aug 5, 2025

10 months ago

Qwen3 VL 32B Instruct

Sep 22, 2025

8 months ago

1mo 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

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Key Takeaways

GPT OSS 20B High

View details

OpenAI

Larger context window (131,072 tokens)

Higher AIME 2025 score (98.7% vs 66.2%)

Higher GPQA score (74.2% vs 68.9%)

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature	GPT OSS 20B High	Qwen3 VL 32B Instruct

FAQ

Common questions about GPT OSS 20B High vs Qwen3 VL 32B Instruct.

Which is better, GPT OSS 20B High or Qwen3 VL 32B Instruct?

GPT OSS 20B High significantly outperforms across most benchmarks. GPT OSS 20B High is made by OpenAI and Qwen3 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT OSS 20B High compare to Qwen3 VL 32B Instruct in benchmarks?

GPT OSS 20B High scores AIME 2025: 98.7%, GPQA: 74.2%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for GPT OSS 20B High and Qwen3 VL 32B Instruct?

GPT OSS 20B High supports 131K tokens and Qwen3 VL 32B 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 GPT OSS 20B High and Qwen3 VL 32B Instruct?

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

Who makes GPT OSS 20B High and Qwen3 VL 32B Instruct?

GPT OSS 20B High is developed by OpenAI and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.