Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 1.8% higher average benchmark score. Qwen3-235B-A22B-Instruct-2507 offers 15.4K more tokens in context window than GPT-4.5. Qwen3-235B-A22B-Instruct-2507 is $224.05 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 Instruct was created as the instruction-tuned version of Qwen3 235B, designed to follow user instructions while leveraging the model's large-scale architecture. Built to provide advanced instruction-following with efficient mixture-of-experts design, it serves applications requiring both capability and practical deployment.
4 months newer

GPT-4.5
OpenAI
2025-02-27

Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Cost per million tokens (USD)

GPT-4.5

Qwen3-235B-A22B-Instruct-2507
Context window and performance specifications
Average performance across 4 common benchmarks

GPT-4.5

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

GPT-4.5
OpenAI

Qwen3-235B-A22B-Instruct-2507

GPT-4.5

Qwen3-235B-A22B-Instruct-2507

GPT-4.5

Qwen3-235B-A22B-Instruct-2507
Novita