Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 3.3% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 255.0K more tokens in context window than GPT-4.5. Qwen3-235B-A22B-Thinking-2507 is $221.70 cheaper per million tokens. GPT-4.5 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4.5 was developed as an intermediate advancement between GPT-4 and GPT-5, designed to incorporate incremental improvements in reasoning, factuality, and instruction-following. Built to bridge generational capabilities while maintaining compatibility with existing applications, it represents a refinement of the GPT-4 architecture with enhanced performance characteristics.
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.
4 months newer

GPT-4.5
OpenAI
2025-02-27

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

GPT-4.5

Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 5 common benchmarks

GPT-4.5

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

GPT-4.5
OpenAI

Qwen3-235B-A22B-Thinking-2507

GPT-4.5

Qwen3-235B-A22B-Thinking-2507

GPT-4.5

Qwen3-235B-A22B-Thinking-2507
Novita