Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B leads with 4.8% higher average benchmark score. Qwen3-235B-A22B offers 126.0K more tokens in context window than GPT-4o. Qwen3-235B-A22B is $11.50 cheaper per million tokens. GPT-4o supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4o, released by OpenAI in May 2024, is a multimodal large language model from the GPT-4 family that natively processes text, image, and audio inputs in a single end-to-end model. It features a 128K token context window and demonstrated competitive performance across coding, reasoning, and vision benchmarks at its release. GPT-4o targets general-purpose assistant applications, vision-enabled workflows, and use cases requiring low-latency multimodal understanding.
Alibaba / Qwen
Qwen3-235B-A22B, released by Alibaba's Qwen team on April 28, 2025, is a Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters per inference. It features a 256K token context window, hybrid thinking capabilities (both reasoning and direct generation modes), and was trained on 36 trillion tokens across 119 languages. Qwen3-235B targets complex reasoning, multilingual tasks, and open-source deployments under the Apache 2.0 license.
11 months newer

GPT-4o
OpenAI
2024-05-13
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
Cost per million tokens (USD)
GPT-4o
Qwen3-235B-A22B
Context window and performance specifications
Average performance across 1 common benchmarks
GPT-4o
Qwen3-235B-A22B
Performance comparison across key benchmark categories
GPT-4o
Qwen3-235B-A22B
GPT-4o
2024-04
Available providers and their performance metrics
GPT-4o
OpenAI
Qwen3-235B-A22B
GPT-4o
Qwen3-235B-A22B
GPT-4o
Qwen3-235B-A22B
OpenRouter