Model Comparison

GPT OSS 20B vs Qwen3 VL 4B Thinking

GPT OSS 20B significantly outperforms across most benchmarks. GPT OSS 20B is 3.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT OSS 20B outperforms in 2 benchmarks (GPQA, MMLU), while Qwen3 VL 4B Thinking is better at 0 benchmarks.

GPT OSS 20B significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 20B costs less

For input processing, GPT OSS 20B ($0.05/1M tokens) is 2.0x cheaper than Qwen3 VL 4B Thinking ($0.10/1M tokens).

For output processing, GPT OSS 20B ($0.20/1M tokens) is 5.0x cheaper than Qwen3 VL 4B Thinking ($1.00/1M tokens).

In conclusion, Qwen3 VL 4B Thinking is more expensive than GPT OSS 20B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Tue May 12 2026 • llm-stats.com

GPT OSS 20B

Input tokens$0.05

Output tokens$0.20

Best providerNovita

Qwen3 VL 4B Thinking

Input tokens$0.10

Output tokens$1.00

Best providerDeepinfra

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Model Size

Parameter count comparison

16.9B diff

GPT OSS 20B has 16.9B more parameters than Qwen3 VL 4B Thinking, making it 422.5% larger.

GPT OSS 20B

20.9Bparameters

Qwen3 VL 4B Thinking

4.0Bparameters

20.9B

GPT OSS 20B

4.0B

Qwen3 VL 4B Thinking

Context Window

Maximum input and output token capacity

Qwen3 VL 4B Thinking accepts 262,144 input tokens compared to GPT OSS 20B's 131,072 tokens. Qwen3 VL 4B Thinking can generate longer responses up to 262,144 tokens, while GPT OSS 20B is limited to 32,768 tokens.

GPT OSS 20B

Input131,072 tokens

Output32,768 tokens

Qwen3 VL 4B Thinking

Input262,144 tokens

Output262,144 tokens

Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Thinking supports multimodal inputs, whereas GPT OSS 20B does not.

Qwen3 VL 4B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT OSS 20B

Text

Images

Audio

Video

Qwen3 VL 4B Thinking

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

Apache 2.0

Open weights

Qwen3 VL 4B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT OSS 20B was released on 2025-08-05, while Qwen3 VL 4B Thinking was released on 2025-09-22.

Qwen3 VL 4B Thinking is 2 months newer than GPT OSS 20B.

GPT OSS 20B

Aug 5, 2025

9 months ago

Qwen3 VL 4B Thinking

Sep 22, 2025

7 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

Provider Availability

GPT OSS 20B is available from Novita, Fireworks, Groq, OpenAI. Qwen3 VL 4B Thinking is available from DeepInfra.

GPT OSS 20B

Novita

Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M

Fireworks

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Groq

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

OpenAI

Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Qwen3 VL 4B Thinking

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $1.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

GPT OSS 20B

View details

OpenAI

Less expensive input tokens

Less expensive output tokens

Higher GPQA score (71.5% vs 64.1%)

Higher MMLU score (85.3% vs 81.5%)

Qwen3 VL 4B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature	GPT OSS 20B	Qwen3 VL 4B Thinking

FAQ

Common questions about GPT OSS 20B vs Qwen3 VL 4B Thinking.

Which is better, GPT OSS 20B or Qwen3 VL 4B Thinking?

GPT OSS 20B significantly outperforms across most benchmarks. GPT OSS 20B is made by OpenAI and Qwen3 VL 4B Thinking 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 compare to Qwen3 VL 4B Thinking in benchmarks?

GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%. Qwen3 VL 4B Thinking scores DocVQAtest: 94.2%, ScreenSpot: 92.9%, MMBench-V1.1: 86.7%, MMLU-Redux: 86.0%, AI2D: 84.9%.

Is GPT OSS 20B cheaper than Qwen3 VL 4B Thinking?

GPT OSS 20B is 2.0x cheaper for input tokens. GPT OSS 20B costs $0.05/M input and $0.20/M output via novita. Qwen3 VL 4B Thinking costs $0.10/M input and $1.00/M output via deepinfra.

What are the context window sizes for GPT OSS 20B and Qwen3 VL 4B Thinking?

GPT OSS 20B supports 131K tokens and Qwen3 VL 4B Thinking supports 262K 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 and Qwen3 VL 4B Thinking?

Key differences include context window (131K vs 262K), input pricing ($0.05 vs $0.10/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 20B and Qwen3 VL 4B Thinking?

GPT OSS 20B is developed by OpenAI and Qwen3 VL 4B Thinking is developed by Alibaba Cloud / Qwen Team.