Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 10.7% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 59.4K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $2.03 cheaper per million tokens. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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.
6 months newer

DeepSeek-V3.1
DeepSeek
2025-01-10

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

DeepSeek-V3.1

Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 5 common benchmarks

DeepSeek-V3.1

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

DeepSeek-V3.1
DeepInfra
Novita

Qwen3-235B-A22B-Thinking-2507

DeepSeek-V3.1

Qwen3-235B-A22B-Thinking-2507

DeepSeek-V3.1

Qwen3-235B-A22B-Thinking-2507
Novita