Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 3.0% higher average benchmark score. DeepSeek-V3.1 offers 71.7K more tokens in context window than Qwen3 235B A22B. Qwen3 235B A22B is $1.07 cheaper per million tokens. Qwen3 235B A22B is available on 4 providers. 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 was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
3 months newer

DeepSeek-V3.1
DeepSeek
2025-01-10

Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)

DeepSeek-V3.1

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

DeepSeek-V3.1

Qwen3 235B A22B
Available providers and their performance metrics

DeepSeek-V3.1
DeepInfra
Novita

Qwen3 235B A22B

DeepSeek-V3.1

Qwen3 235B A22B

DeepSeek-V3.1

Qwen3 235B A22B
DeepInfra
Fireworks
Novita
Together