Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 44.7% higher average benchmark score. Qwen3 32B offers 123.9K more tokens in context window than GPT-4.5. Qwen3 32B is $224.60 cheaper per million tokens. GPT-4.5 supports multimodal inputs. Qwen3 32B is available on 3 providers. Overall, Qwen3 32B is the stronger choice for coding tasks.
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 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
2 months newer

GPT-4.5
OpenAI
2025-02-27

Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)

GPT-4.5

Qwen3 32B
Context window and performance specifications
Average performance across 1 common benchmarks

GPT-4.5

Qwen3 32B
Available providers and their performance metrics

GPT-4.5
OpenAI

Qwen3 32B

GPT-4.5

Qwen3 32B

GPT-4.5

Qwen3 32B
DeepInfra
Novita
Sambanova