tencent/hy3Open WeightsTencent Hy reasoning model for coding, instruction following, and agent tasks
TECHNICAL SPECIFICATIONS
MODEL CONTEXT PROTOCOL (MCP) READINESS
✓ Hy3 natively supports OpenAI / Anthropic format tool calling and is fully compatible with MCP servers and agent loops.
MCP Context Window Recommendations
With a context capacity of 256,000 tokens, this model can handle moderately large MCP tool definitions and multi-turn conversation logs comfortably.
STANDARDIZED BENCHMARKS & EVALS
API CALL INVOCATION EXAMPLE
// Example: Calling Hy3 via OpenAI SDK
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.TENCENT_API_KEY,
});
const response = await client.chat.completions.create({
model: "tencent/hy3",
messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});
console.log(response.choices[0].message.content);PRICING BY PROVIDER
Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.
This model supports prompt caching at $0.03 / 1M tokens, saving up to 56% on repetitive MCP tool definitions and system instructions.
MODEL RESOURCES
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A next-generation productivity model with significantly enhanced Agent and complex task execution capabilities.
Tencent Hy reasoning model for coding, instruction following, and agent tasks
Tencent Hy reasoning model for coding, instruction following, and agent tasks