Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 9.6% higher average benchmark score. DeepSeek-V3 offers 6.1K more tokens in context window than Qwen3 235B A22B. Qwen3 235B A22B is $1.17 cheaper per million tokens. Qwen3 235B A22B is available on 4 providers. Overall, Qwen3 235B A22B 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 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.
4 months newer

DeepSeek-V3
DeepSeek
2024-12-25

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

DeepSeek-V3

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

DeepSeek-V3

Qwen3 235B A22B
Available providers and their performance metrics

DeepSeek-V3
DeepSeek

Qwen3 235B A22B

DeepSeek-V3

Qwen3 235B A22B

DeepSeek-V3

Qwen3 235B A22B
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