LLM Reference
Tencent Cloud TI Platform

Hunyuan Hy4 Preview on Tencent Cloud TI Platform

Hunyuan · Tencent AI Lab

ServerlessOpen Source

Last refreshed 2026-08-31. Next refresh: weekly.

Why use Hunyuan Hy4 Preview on Tencent Cloud TI Platform?

Tencent Cloud TI Platform offers Hunyuan Hy4 Preview with pay-as-you-go pricing at $0.83/1M input tokens. Tencent Cloud's AI Platform offers a comprehensive suite of innovative solutions leveraging artificial intelligence to drive business growth and shape a more intelligent future.

Compare Hunyuan Hy4 Preview across 2 providers to find the best fit for your use case
Input / 1M
$0.834
Output / 1M
$2.50
Cache
read $0.042
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: hy4-preview
Model ID
hy4-preview

Request example

Curated snippets for this provider are not sourced yet. Use Tencent Cloud TI Platform documentation with model ID hy4-preview.

Gotchas

No curated gotchas have been sourced for this exact provider/model route yet.

Compare Hunyuan Hy4 Preview Across Providers

ProviderInput (per 1M)Output (per 1M)
Tencent Cloud TI Platform$0.83$2.50
OpenRouter$0.83$2.50

Pricing

TypePrice (per 1M)
Input tokens$0.83
Output tokens$2.50

Capabilities

ReasoningJSON / Tool usePrompt CachingFine-tuning

About Hunyuan Hy4 Preview

Tencent Hunyuan Hy4 preview is a Mixture-of-Experts flagship language model released and open-sourced August 28, 2026. First-party Tencent release: 770B total parameters with 49B activated per token, context window exceeding 1M tokens, aimed at coding, office productivity, game development, and scientific research. Hugging Face model card (tencent/Hy4-preview) documents a 78-layer MoE backbone (256 routed experts, top-8 plus 1 shared expert), Gated DeepSeek Sparse Attention with IndexCache, iHC residual streams, native MTP speculative decoding, Apache License 2.0 weights (also Hy4-preview-FP8), and OpenAI-compatible serving via vLLM/SGLang with tool-call and reasoning parsers.

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Model Specs

Released2026-08-28
Parameters770B (49B active)
Context1.05m
ArchitectureMixture of Experts

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