Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 42.1% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 255.0K more tokens in context window than GPT-4 Turbo. Qwen3-235B-A22B-Thinking-2507 is $36.70 cheaper per million tokens. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
OpenAI
GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 year newer
GPT-4 Turbo
OpenAI
2024-04-09
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Cost per million tokens (USD)
GPT-4 Turbo
Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 30 common benchmarks
GPT-4 Turbo
Qwen3-235B-A22B-Thinking-2507
GPT-4 Turbo
2023-12-31
Available providers and their performance metrics
GPT-4 Turbo
Azure
OpenAI
GPT-4 Turbo
Qwen3-235B-A22B-Thinking-2507
GPT-4 Turbo
Qwen3-235B-A22B-Thinking-2507
Qwen3-235B-A22B-Thinking-2507
Novita