Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 11.4% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 242.7K more tokens in context window than GPT-4o. Qwen3-235B-A22B-Thinking-2507 is $9.20 cheaper per million tokens. GPT-4o supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
OpenAI
This updated version of GPT-4o was released with refinements to its multimodal capabilities and improved performance across text, vision, and audio tasks. Built to incorporate learnings from the initial GPT-4o deployment, it enhanced reliability and accuracy while maintaining the seamless cross-modal reasoning that defines the GPT-4o family.
Alibaba Cloud / Qwen Team
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
11 months newer

GPT-4o
OpenAI
2024-08-06

Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Cost per million tokens (USD)

GPT-4o

Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 10 common benchmarks

GPT-4o

Qwen3-235B-A22B-Thinking-2507
Available providers and their performance metrics

GPT-4o
Azure
OpenAI


GPT-4o

Qwen3-235B-A22B-Thinking-2507

GPT-4o

Qwen3-235B-A22B-Thinking-2507
Qwen3-235B-A22B-Thinking-2507
Novita