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Hy4 preview

Hy4 preview

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Tencent's open-weight Hy4 preview, a 770B-parameter Mixture-of-Experts model with 49B active parameters and a 1M-token context window.

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About Hy4 preview

Hy4 preview is the next-generation large language model from Tencent Hunyuan, released and open-sourced on 28 August 2026 under the Apache 2.0 licence. It uses a Mixture-of-Experts architecture with 770 billion total parameters but only 49 billion active per token, which keeps inference cost far below what the total parameter count would suggest, and it supports a context window of more than one million tokens. Tencent positions the model around real-world productivity work rather than benchmark scores, highlighting coding, office tasks and scientific research as its strongest areas. The weights are downloadable for self-hosting, and the model is also served through Tencent products including WorkBuddy, CodeBuddy, Yuanbao and ima, with API access via Tencent Cloud TokenHub and OpenRouter. It more than doubles the 295B total parameters of its predecessor, Hy3.

Key Features

770B Mixture-of-Experts Architecture: Holds 770 billion total parameters while activating only 49 billion per token, so capacity scales without proportional inference cost.
1M-Token Context Window: Accepts inputs exceeding one million tokens, allowing whole codebases, long document sets or extended agent traces in a single prompt.
Apache 2.0 Open Weights: Released under a permissive licence that allows commercial use, modification and redistribution with no separate agreement.
Productivity Task Focus: Tuned for real-world coding, office work and scientific research rather than narrow benchmark optimisation.
Multi-Product Availability: Accessible globally through Tencent's WorkBuddy, CodeBuddy, Yuanbao and ima applications in addition to the raw weights.
API Access via TokenHub and OpenRouter: Can be called through Tencent Cloud TokenHub or OpenRouter for teams that prefer hosted inference over self-hosting.

Use Cases

Whole-Repository Code Work: Load an entire codebase into the million-token context to reason about refactors and cross-file dependencies at once.
Long-Horizon Agent Tasks: Drive multi-step agent workflows where the full history of tool calls and intermediate results must stay in context.
Self-Hosted Deployment: Run a frontier-scale open-weight model on private infrastructure where data cannot leave the organisation.
Scientific Literature Analysis: Ingest large collections of papers or experimental logs and synthesise findings without chunking the input.
Office Document Processing: Summarise, draft and restructure long reports, contracts and spreadsheets in enterprise workflows.
Commercial Fine-Tuning: Adapt the weights for a proprietary product under the Apache 2.0 licence without negotiating a model licence.

Frequently asked questions about Hy4 preview

What is Hy4 preview?

Tencent's open-weight Hy4 preview, a 770B-parameter Mixture-of-Experts model with 49B active parameters and a 1M-token context window.

How does Hy4 preview work?

Hy4 preview works by combining 770B Mixture-of-Experts Architecture: Holds 770 billion total parameters while activating only 49 billion per token, so capacity scales without proportional inference cost., 1M-Token Context Window: Accepts inputs exceeding one million tokens, allowing whole codebases, long document sets or extended agent traces in a single prompt., Apache 2.0 Open Weights: Released under a permissive licence that allows commercial use, modification and redistribution with no separate agreement., Productivity Task Focus: Tuned for real-world coding, office work and scientific research rather than narrow benchmark optimisation., Multi-Product Availability: Accessible globally through Tencent's WorkBuddy, CodeBuddy, Yuanbao and ima applications in addition to the raw weights. to help users with Whole-Repository Code Work: Load an entire codebase into the million-token context to reason about refactors and cross-file dependencies at once., Long-Horizon Agent Tasks: Drive multi-step agent workflows where the full history of tool calls and intermediate results must stay in context., Self-Hosted Deployment: Run a frontier-scale open-weight model on private infrastructure where data cannot leave the organisation., Scientific Literature Analysis: Ingest large collections of papers or experimental logs and synthesise findings without chunking the input., Office Document Processing: Summarise, draft and restructure long reports, contracts and spreadsheets in enterprise workflows..

What are the main features of Hy4 preview?

Key features include 770B Mixture-of-Experts Architecture: Holds 770 billion total parameters while activating only 49 billion per token, so capacity scales without proportional inference cost., 1M-Token Context Window: Accepts inputs exceeding one million tokens, allowing whole codebases, long document sets or extended agent traces in a single prompt., Apache 2.0 Open Weights: Released under a permissive licence that allows commercial use, modification and redistribution with no separate agreement., Productivity Task Focus: Tuned for real-world coding, office work and scientific research rather than narrow benchmark optimisation., Multi-Product Availability: Accessible globally through Tencent's WorkBuddy, CodeBuddy, Yuanbao and ima applications in addition to the raw weights..

Who is Hy4 preview for?

Hy4 preview is useful for anyone interested in Whole-Repository Code Work: Load an entire codebase into the million-token context to reason about refactors and cross-file dependencies at once., Long-Horizon Agent Tasks: Drive multi-step agent workflows where the full history of tool calls and intermediate results must stay in context., Self-Hosted Deployment: Run a frontier-scale open-weight model on private infrastructure where data cannot leave the organisation., Scientific Literature Analysis: Ingest large collections of papers or experimental logs and synthesise findings without chunking the input., Office Document Processing: Summarise, draft and restructure long reports, contracts and spreadsheets in enterprise workflows..

How much does Hy4 preview cost?

Hy4 preview is free to use.

How do I get started with Hy4 preview?

Visit https://hy.tencent.ai/ to sign up and explore Hy4 preview.

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