Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 4.6% higher average benchmark score. Qwen3 235B A22B offers 123.9K more tokens in context window than GPT-4.5. Qwen3 235B A22B is $224.80 cheaper per million tokens. GPT-4.5 supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. 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 was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
2 months newer

GPT-4.5
OpenAI
2025-02-27

Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)

GPT-4.5

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

GPT-4.5

Qwen3 235B A22B
Available providers and their performance metrics

GPT-4.5
OpenAI

Qwen3 235B A22B

GPT-4.5

Qwen3 235B A22B

GPT-4.5

Qwen3 235B A22B
DeepInfra
Fireworks
Novita
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