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GPT-OSS-20B vs Qwen3-VL-235B-A22B
Comprehensive side-by-side LLM comparison
Qwen3-VL-235B-A22B offers 138.2K more tokens in context window than GPT-OSS-20B. Qwen3-VL-235B-A22B is $Infinity cheaper per million tokens. Qwen3-VL-235B-A22B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
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Alibaba / Qwen
Qwen3-VL-235B-A22B, released by Alibaba's Qwen team in September 2025, is a natively multimodal Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters. It features a 256K token context window (with extrapolation to 1M tokens), native support for text, image, and video input, and joint visual-textual reasoning capabilities. Qwen3-VL-235B targets complex visual reasoning, video understanding, and multimodal agentic tasks under the Apache 2.0 license.
1 month newer
GPT-OSS-20B
OpenAI
2025-08-05
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Pricing Comparison
Cost per million tokens (USD)
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GPT-OSS-20B
Input:$Infinity
Output:$Infinity
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Qwen3-VL-235B-A22B
Input:$0.25
Output:$0.75($Infinity cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GPT-OSS-20B
1 providers
Hugging Face
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Qwen3-VL-235B-A22B
1 providers
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GPT-OSS-20B
Avg Score:0.0%
Providers:1
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Qwen3-VL-235B-A22B
Avg Score:0.0%
Providers:1