Qwen3 235B
Open SourceAlibaba Cloud · 2025
Alibaba's latest MoE model with 235B parameters and strong multilingual capabilities.
Quick Facts
Parameters
235B (MoE)
Context Window
128K tokens
Modalities
text
Open Source
Yes
License
Qwen License (open-weight)
Pricing
Free / API from $0.50/1M tokens
Released
2025
Developer
Alibaba Cloud
About
Qwen3 235B is Alibaba Cloud's latest large language model in the Qwen (通义千问) family, featuring 235 billion parameters with Mixture-of-Experts architecture for efficient inference. It represents Alibaba's most capable text model, demonstrating exceptional performance in both Chinese and English with particular strength in reasoning, coding, creative writing, and knowledge-intensive tasks. The MoE architecture balances capability with inference efficiency, activating only a portion of parameters per token for faster generation. Qwen3 235B supports over 100 languages with native-level Chinese understanding that surpasses most Western-developed models — making it the best choice for any application where Chinese language quality is critical. The 128K token context window provides ample capacity for long documents and complex analysis. Available through Alibaba Cloud's API at competitive pricing (approximately USD 0.50 per 1M tokens), the Tongyi Qianwen web interface with free tier access, and as open-weight models for self-deployment under the Qwen License. Qwen3 is particularly strong at Chinese document understanding, classical Chinese text, Chinese cultural references, and bilingual tasks where accurate Chinese-English translation and cross-cultural understanding are needed. For Chinese-speaking organizations deploying AI at scale, developers building bilingual applications targeting Asian markets, and researchers working with Chinese-language content, Qwen3 235B offers the strongest Chinese language foundation of any major model. The main limitations are a smaller global ecosystem compared to Meta's Llama, fewer third-party integrations, and text-only operation without built-in vision capabilities. Compared to DeepSeek-V3, Qwen3 offers stronger Chinese language understanding and more multilingual support, while DeepSeek excels in coding and reasoning benchmarks.
Strengths
- +Strong multilingual performance, especially Chinese-centric
- +Open-weight availability for self-hosting
- +Excellent reasoning and coding benchmarks
- +Efficient MoE architecture for inference
Weaknesses
- −Text-only without built-in vision
- −Smaller global community than Llama
- −Limited third-party tooling and integrations
Best For
Chinese-language AI applications and content generation
Multilingual translation and cross-lingual tasks
Self-hosted AI for Asian market applications
Cost-effective alternative to GPT-4o for text tasks
Pricing
Free (Web)
$0
- Limited Qwen3 chat
- Basic features
- File uploads
API
From $0.50/1M tokens
- Pay-as-you-go
- 128K context
- Function calling
Self-Hosted
Free (open-weight)
- Model weights
- Custom deployment
- Commercial use
Technical Specs
Parameters
235B (MoE)
Context Window
128K tokens
Modalities
text
Languages
Open Source
Yes
License
Qwen License (open-weight)
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