Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 4.4% higher average benchmark score. DeepSeek-V3.1 offers 180.2K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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 Instruct was created as the instruction-tuned version of Qwen3 235B, designed to follow user instructions while leveraging the model's large-scale architecture. Built to provide advanced instruction-following with efficient mixture-of-experts design, it serves applications requiring both capability and practical deployment.
6 months newer

DeepSeek-V3.1
DeepSeek
2025-01-10

Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Cost per million tokens (USD)

DeepSeek-V3.1

Qwen3-235B-A22B-Instruct-2507
Context window and performance specifications
Average performance across 6 common benchmarks

DeepSeek-V3.1

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

DeepSeek-V3.1
DeepInfra
Novita

Qwen3-235B-A22B-Instruct-2507

DeepSeek-V3.1

Qwen3-235B-A22B-Instruct-2507

DeepSeek-V3.1

Qwen3-235B-A22B-Instruct-2507
Novita