Best Alternatives to Hy4 preview in 2025
Hy4 Preview is Tencent's open-source 770B-parameter mixture-of-experts model (49B active, 1M context) designed for long-horizon agentic tasks such as coding, game development, and complex document analysis. While Hy4 offers impressive scale and context length, it may not suit every use case due to its massive size, specialized focus, or deployment requirements. Below are the best alternatives to Hy4 Preview, each with unique strengths for different needs.
DeepSeek-V3
A 671B MoE model (37B active) with 128K context, offering comparable reasoning and coding performance at a lower active parameter count, making it more efficient for long-horizon tasks without the full 770B footprint.
Qwen2.5-Max
Alibaba's 1T-parameter MoE model (20B active) with 256K context, excelling in multilingual and coding tasks, and providing a strong open-source alternative for complex document analysis and agentic workflows.
Llama 3.1 405B
Meta's dense 405B model with 128K context, known for its robust general-purpose reasoning and extensive ecosystem support, ideal for teams needing a proven, well-documented model for long-context tasks.
Mistral Large 2
A 123B-parameter model with 128K context, offering excellent code generation and agentic capabilities at a fraction of Hy4's size, making it easier to deploy and fine-tune for specific long-horizon projects.
Mixtral 8x22B
A 141B MoE model (39B active) with 64K context, providing a lightweight yet capable alternative for coding and document analysis, especially for teams with limited compute resources.
Command R+
Cohere's 104B model with 128K context, designed for enterprise-grade RAG and tool use, making it a strong choice for complex document analysis and long-horizon agentic tasks that require reliable retrieval.
GPT-4.1
While proprietary, OpenAI's GPT-4.1 (with 1M context) offers comparable long-context performance and agentic tool use, making it a practical alternative for teams that prefer a managed API over self-hosting a 770B model.
Hy4 Preview stands out for its massive 770B MoE scale and 1M context, but its size and specialization may be overkill for many applications. Alternatives like DeepSeek-V3 and Qwen2.5-Max offer similar MoE efficiency with lower active parameters, while Llama 3.1 405B and Mistral Large 2 provide proven reliability and easier deployment. For enterprise needs, Command R+ excels in RAG, and GPT-4.1 offers a managed solution with comparable context length. Choose based on your compute budget, deployment flexibility, and specific long-horizon task requirements.