Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 50.3% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 366.6K more tokens in context window than GPT-3.5 Turbo. GPT-3.5 Turbo is $1.30 cheaper per million tokens. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
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.
2 years newer

GPT-3.5 Turbo
OpenAI
2023-03-21

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

GPT-3.5 Turbo

Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 1 common benchmarks

GPT-3.5 Turbo

Qwen3-235B-A22B-Thinking-2507
GPT-3.5 Turbo
2021-09-30
Available providers and their performance metrics

GPT-3.5 Turbo
Azure
OpenAI


GPT-3.5 Turbo

Qwen3-235B-A22B-Thinking-2507

GPT-3.5 Turbo

Qwen3-235B-A22B-Thinking-2507
Qwen3-235B-A22B-Thinking-2507
Novita