Comprehensive side-by-side LLM comparison
Qwen3-VL-235B-A22B offers 138.2K more tokens in context window than GPT-OSS-120B. 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.
OpenAI
GPT-OSS-120B, released by OpenAI in August 2025, is an open-weight large language model with 120 billion parameters distributed under the Apache 2.0 license. It represents OpenAI's entry into the open-source model space, enabling developers to self-host and fine-tune a GPT-5-generation-class model. GPT-OSS-120B targets research applications, on-premises deployments, and custom fine-tuning workflows requiring a large open-weight base model.
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-120B
OpenAI
2025-08
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Cost per million tokens (USD)
GPT-OSS-120B
Qwen3-VL-235B-A22B
Context window and performance specifications
Available providers and their performance metrics
GPT-OSS-120B
Hugging Face
Qwen3-VL-235B-A22B
GPT-OSS-120B
Qwen3-VL-235B-A22B
GPT-OSS-120B
Qwen3-VL-235B-A22B
OpenRouter