Tencent Hy3

Tencent Hy3 reasoning model served by TokenHub for long-context chat, agent, and code workloads.

Input price: $0.146
Output price: $0.584

Context: 256K
Max output: 128K

Human preference: 1439
30-day uptime: —

InputTextOutputText

Providers

Providers that serve this model. With Auto, each request goes to the best available provider. Prices in USD per 1M tokens; stats cover the last 30 days.

AutoInput$0.146Output$0.584Cache read$0.0365Context256KMax output128KWe send each request to the best-priced healthy provider. You pay that provider’s price.Tencent Cloud TokenHubInput$0.146Output$0.584Cache read$0.0365ChinaNo training

Pricing

All prices for this model, by service tier.

Input: $0.146; per 1M tokens
Output: $0.584; per 1M tokens
Cache read: $0.0365; per 1M tokens

Try it

Runs on your balance and is billed like any API request.

curl https://api.ohmygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $OHMYGPT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "tencent/hy3",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'

import os

from openai import OpenAI

client = OpenAI(
    api_key=os.environ["OHMYGPT_API_KEY"],
    base_url="https://api.ohmygpt.com/v1",
)

response = client.chat.completions.create(
    model="tencent/hy3",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.OHMYGPT_API_KEY,
  baseURL: "https://api.ohmygpt.com/v1",
});

const response = await client.chat.completions.create({
  model: "tencent/hy3",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(response.choices[0].message.content);

The answer streams in here.

Billed by usage

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Human preference ratings are from the LMArena Text Arena (CC BY 4.0, as of 2026-11-09): Elo ratings from blind votes, on a different scale from capability scores. lmarena.ai/leaderboard/text