Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 9.2% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 124.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $1.93 cheaper per million tokens. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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.
7 months newer

DeepSeek-V3
DeepSeek
2024-12-25

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

DeepSeek-V3

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

DeepSeek-V3

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

DeepSeek-V3
DeepSeek

Qwen3-235B-A22B-Thinking-2507

DeepSeek-V3

Qwen3-235B-A22B-Thinking-2507

DeepSeek-V3

Qwen3-235B-A22B-Thinking-2507
Novita