Hy3
Tencent
Tencent Hy3 is an open-source Mixture-of-Experts (MoE) large language model developed by Tencent's Hunyuan team. It has 295B total parameters, 21B active parameters, a 3.8B-parameter MTP layer, and a 256K context window. Hy3 is designed for agentic workflows, coding, reasoning, long-context understanding, tool-use scenarios, document analysis, and structured generation. The model improves on Hy3 Preview with stronger tool-call reliability, better output-format stability, improved long-context retention, and lower hallucination rates in Tencent's internal evaluations.
- Language
- Implicit caching
- Reasoning
- Tool use
- Context
- 256K
- Max output
- 128K
- Input / 1M
- $0.132
- Output / 1M
- $0.528
Quickstart
Point any OpenAI-compatible client at Maxynetic Systems and pass tencent/hy3 as the model.
curl https://api.maxynetic.com/v1/chat/completions \
-H "Authorization: Bearer $MAXYNETIC_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "tencent/hy3",
"messages": [{ "role": "user", "content": "Explain routing in one line." }]
}'Pricing
Billed per token with no markup on the underlying provider rate.
Input
Per 1M prompt tokens
$0.132
Output
Per 1M completion tokens
$0.528
Cache read
Per 1M cached prompt tokens
$0.033
A 1M-token prompt with 250K tokens of output costs about $0.264.
Rates for this model vary by upstream provider; Maxynetic Systems routes to the cheapest healthy one by default.