Qwen3 235B
Chinese task priority - Alibaba's open-source large model supports long text and multimodality, making it suitable for enterprise-level complex scenario deployment.
- Development Team: Alibaba
- Launch Date: 2025.04
- Model Parameters: 235B
- Features: Large-scale open-source MoE model, supporting multimodality and high-performance inference, suitable for complex tasks and long-text processing.
DeepSeek V3
Logic Reasoning Enhanced Version - Excels in mathematics, coding, and chain-of-thought tasks, suitable for scenarios requiring rigorous reasoning.
- Development Team: DeepSeek
- Launch Date: 2024.12
- Model Parameters: 670B
- Features: Supports 128K long text understanding, strong code and mathematical capabilities, open source, suitable for complex reasoning and generation tasks.
Qwen3 235B Thinking
Long-text Expert – Supports 128K context, boasts strong code and mathematical capabilities, open-source and commercially available, with extremely high cost-performance.
- Development Team: Alibaba
- Launch Date: 2025.04
- Model Parameters: 235B
- Features: Enhanced Reasoning Qwen3, optimized for logical reasoning and chain-of-thought (CoT), suitable for complex decision-making and mathematical derivation.
DeepSeek R1
For complex decision-making and mathematical derivation. DeepSeek R1 - The Terminator of Complex Problems: Optimized for reasoning, suitable for high-difficulty tasks such as math competitions and algorithm research.
- Development Team: DeepSeek
- Launch Date: 2025.01
- Model Parameters: 670B
- Features: Reinforcement Learning Optimized Version, enabling efficient fine-tuning and suitable for practical application scenarios such as search and recommendation.
Llama-4-Scout-Instruct
An open-source, instruction-tuned LLM by Meta and Hugging Face, optimized for English with multilingual support, based on Llama
- Development Team: meta and Hugging Face
- Launch Date: 2025.04
- Model Parameters: 70B
- Features: Fully open-source and free, risk-free for private deployment. Perfect for developers and enterprises to build English-focused AI assistants — from auto-writing emails and reviewing contracts to private knowledge base QA, effortlessly handling 128K long-text contexts.