Hy4 preview
hy4-previewTencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that... Built by Tencent.
Prices updated
Input price
$0.83
per 1M tokens · Standard
Output price
$2.50
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
64K
tokens
Input formats
Output formats
Hy4 preview price history
6 price records since 9/25/2026 · 4 changes
Hy4 preview cost calculator
$29/month
Standard pricing
Overview
What is Hy4 preview?
Hy4 preview is a text & reasoning model from Tencent. Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that... Its 1M context window and $0.83 input price make it a candidate for quality-focused production applications.
Rates
Hy4 preview pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.83
Per 1M tokens
Cached input · Standard
$0.04
Per 1M tokens
Capabilities
Hy4 preview Tools
Tools available when using Hy4 preview through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Priced at $0.83 input and $2.50 output per million tokens.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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