Tencent Hunyuan Models & API

Compare the Tencent Hunyuan models available on TokenHub, including Tencent Hy3, Hunyuan 3, and Hunyuan A13B. Review pricing, context, capabilities, and model IDs, then call Tencent Hunyuan, Hunyuan, and HY3 through one OpenAI-compatible API workflow.

View Tencent Hunyuan Models Get API key

Tencent Hunyuan Models & API Pricing

Compare current Tencent Hunyuan API pricing, input and output token costs, context windows, endpoints, and model IDs. The catalog may include Tencent Hy3, Hunyuan 3, and Hunyuan A13B; availability follows the live TokenHub model list.

API PricingSpecifications

Compare input, output, and cache-read prices for the available Tencent Hunyuan models. Open a model page to confirm the current billing unit and model ID.

Model NameInput/ M tokensOutput/ M tokensCache Read/ M tokens

Tencent

Hy3hy3

$0.1429$0.5714$0.0357

Compare context windows, maximum output, reasoning, tool calling, endpoints, and release dates across Tencent Hy3, Hunyuan 3, and Hunyuan A13B.

Model NameModalitiesContextMax outputReasoningTool callingEndpointReleased

Tencent

Hy3hy3

256K

128K

✓

OpenAI / Responses / Anthropic

Jul 6, 2026

Catalog data

Pricing, model availability, context windows, and endpoint support reflect the current TokenHub catalog. Confirm the model detail page before a production release because specifications and availability can change.

Last updated: 2026-08-25

Get Started With the Tencent Hunyuan API

Create a TokenHub API key, copy a published Tencent Hunyuan model ID, and call it with OpenAI Chat Completions, Responses, or Claude Messages. Existing OpenAI SDK projects can usually switch by changing the API key, Base URL, and model ID.

01Create a TokenHub API key
02Choose an available Tencent Hunyuan model
03Choose an API protocol
04Copy the published Tencent Hunyuan model ID
05Send your first request

Get API key Read API docs

Choose an API protocol

OpenAI ChatPOST /v1/chat/completionsOpenAI ResponsesPOST /v1/responsesClaude MessagesPOST /v1/messages

OpenAI SDK · TypeScriptOpenAI SDK · PythoncURLTypeScript fetchPython requests

import OpenAI from "openai"

const client = new OpenAI({
  apiKey: process.env.TOKENHUB_API_KEY,
  baseURL: "https://us-api.tokenhub.com/v1",
})

const result = await client.chat.completions.create({
  "model": "hy3",
  "messages": [
    {
      "role": "user",
      "content": "Explain why low latency matters for an AI product in one sentence."
    }
  ]
})
console.log(result.choices[0]?.message?.content)

import json
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("TOKENHUB_API_KEY"),
    base_url="https://us-api.tokenhub.com/v1",
)

request = json.loads("{\"model\":\"hy3\",\"messages\":[{\"role\":\"user\",\"content\":\"Explain why low latency matters for an AI product in one sentence.\"}]}")
result = client.chat.completions.create(**request)
print(result.choices[0].message.content)

curl 'https://us-api.tokenhub.com/v1/chat/completions' \
  -X 'POST' \
  -H "Authorization: Bearer $TOKENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "hy3",
  "messages": [
    {
      "role": "user",
      "content": "Explain why low latency matters for an AI product in one sentence."
    }
  ]
}'

const response = await fetch("https://us-api.tokenhub.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.TOKENHUB_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "hy3",
    "messages": [
      {
        "role": "user",
        "content": "Explain why low latency matters for an AI product in one sentence."
      }
    ]
  }),
})
const data = await response.json()
console.log(data)

import os
import requests

response = requests.request(method="POST", url="https://us-api.tokenhub.com/v1/chat/completions",
    headers={
        "Authorization": f"Bearer {os.environ['TOKENHUB_API_KEY']}",
        "Content-Type": "application/json",
    },
    json=__import__("json").loads("{\"model\":\"hy3\",\"messages\":[{\"role\":\"user\",\"content\":\"Explain why low latency matters for an AI product in one sentence.\"}]}"),
)
response.raise_for_status()
print(response.json())

OpenAI SDK · TypeScriptOpenAI SDK · PythoncURLTypeScript fetchPython requests

import OpenAI from "openai"

const client = new OpenAI({
  apiKey: process.env.TOKENHUB_API_KEY,
  baseURL: "https://us-api.tokenhub.com/v1",
})

const result = await client.responses.create({
  "model": "hy3",
  "input": "Explain why low latency matters for an AI product in one sentence."
})
console.log(result.output_text)

import json
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("TOKENHUB_API_KEY"),
    base_url="https://us-api.tokenhub.com/v1",
)

request = json.loads("{\"model\":\"hy3\",\"input\":\"Explain why low latency matters for an AI product in one sentence.\"}")
result = client.responses.create(**request)
print(result.output_text)

curl 'https://us-api.tokenhub.com/v1/responses' \
  -X 'POST' \
  -H "Authorization: Bearer $TOKENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "hy3",
  "input": "Explain why low latency matters for an AI product in one sentence."
}'

const response = await fetch("https://us-api.tokenhub.com/v1/responses", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.TOKENHUB_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "hy3",
    "input": "Explain why low latency matters for an AI product in one sentence."
  }),
})
const data = await response.json()
console.log(data)

import os
import requests

response = requests.request(method="POST", url="https://us-api.tokenhub.com/v1/responses",
    headers={
        "Authorization": f"Bearer {os.environ['TOKENHUB_API_KEY']}",
        "Content-Type": "application/json",
    },
    json=__import__("json").loads("{\"model\":\"hy3\",\"input\":\"Explain why low latency matters for an AI product in one sentence.\"}"),
)
response.raise_for_status()
print(response.json())

cURLTypeScript fetchPython requests

curl 'https://us-api.tokenhub.com/v1/messages' \
  -X 'POST' \
  -H "Authorization: Bearer $TOKENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "hy3",
  "max_tokens": 1024,
  "messages": [
    {
      "role": "user",
      "content": "Explain why low latency matters for an AI product in one sentence."
    }
  ]
}'

const response = await fetch("https://us-api.tokenhub.com/v1/messages", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.TOKENHUB_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "hy3",
    "max_tokens": 1024,
    "messages": [
      {
        "role": "user",
        "content": "Explain why low latency matters for an AI product in one sentence."
      }
    ]
  }),
})
const data = await response.json()
console.log(data)

import os
import requests

response = requests.request(method="POST", url="https://us-api.tokenhub.com/v1/messages",
    headers={
        "Authorization": f"Bearer {os.environ['TOKENHUB_API_KEY']}",
        "Content-Type": "application/json",
    },
    json=__import__("json").loads("{\"model\":\"hy3\",\"max_tokens\":1024,\"messages\":[{\"role\":\"user\",\"content\":\"Explain why low latency matters for an AI product in one sentence.\"}]}"),
)
response.raise_for_status()
print(response.json())

Which Tencent Hunyuan Model Should You Choose?

Use this Tencent Hunyuan model selection guide for Chinese-language applications, general chat, reasoning, coding, and long-context processing. Compare price, context, reasoning, tool calling, and endpoint support before shipping.

API workload	Start with	When it fits	Verify before launch
High-volume Tencent Hunyuan API calls	Hy3	Fast iteration, chat, extraction, summarization, and batch workloads using Tencent Hunyuan.	Tencent Hunyuan API pricing, throughput, and output-token cost
Tencent Hunyuan reasoning and coding	Hy3	Multi-step analysis, code generation, debugging, and agent tasks where answer quality matters.	Reasoning support, tool calling, latency, and total request cost
General Tencent Hunyuan applications	Hy3	Everyday assistants, content generation, information extraction, and product features.	Task accuracy, endpoint support, and production price
Long-context Tencent Hunyuan workloads	Hy3	Documents, codebases, research, and conversations where input length is the constraint.	Context window, input-token price, maximum output, and streaming
Quality-first Tencent Hunyuan workloads	Hy3	Production outputs where capability matters more than the lowest unit cost.	Task quality, latency, and the price difference versus a faster model

Choose and Compare Tencent Hunyuan Models

Use the live catalog to compare Tencent Hunyuan API price, model specifications, context limits, and supported endpoints.

Tencent Hunyuan API PricingCompare input, output, cache-read, or per-request pricing for available Tencent Hunyuan models.Tencent Hunyuan Model SpecificationsReview context, maximum output, reasoning, tool calling, endpoints, and release dates.Choose a Tencent Hunyuan ModelMatch Tencent Hunyuan models to Chinese-language applications, general chat, reasoning, coding, and long-context processing.

Integrate Tencent Hunyuan

Use TokenHub to connect Tencent Hunyuan to the development tools already in your workflow.

Cursor integrationConfigure Cursor to call Tencent Hunyuan through your TokenHub API key.OpenClaw integrationConnect OpenClaw to Tencent Hunyuan with an OpenAI-compatible API.Claude Code integrationUse Tencent Hunyuan in Claude Code with the TokenHub endpoint and API key.Cline integrationSet up Cline to use Tencent Hunyuan models for your coding workflow.Codex integrationUse Tencent Hunyuan in Codex with your TokenHub API key and OpenAI-compatible endpoint.OpenCode integrationConfigure OpenCode to call Tencent Hunyuan through the TokenHub endpoint.

View all integrations

Tencent Hunyuan API FAQ

What are Tencent Hunyuan, Hunyuan, and HY3?

Tencent Hunyuan, Hunyuan, and HY3 are names and search terms associated with this model family. TokenHub uses the published provider and model IDs shown in the live catalog.

Which Tencent Hunyuan models are available on TokenHub?

The live list above shows current availability. Relevant model searches include Tencent Hy3, Hunyuan 3, and Hunyuan A13B, but only models displayed in the TokenHub catalog can be called through this page.

How do I get a Tencent Hunyuan API key?

Tencent Hunyuan API and Tencent Hunyuan API key searches lead to the same TokenHub workflow: create an API key, select a published Tencent Hunyuan model ID, and use the TokenHub Base URL in your application.

How is Tencent Hunyuan API pricing calculated?

Pricing depends on the selected model and billing type. Compare input, output, cache, or per-request prices in the table and confirm the model detail page before production use.

Can I use the OpenAI SDK with Tencent Hunyuan?

Yes. Use the TokenHub Base URL, API key, and published Tencent Hunyuan model ID with the OpenAI Python or Node.js SDK. Endpoint support is shown for each model.

Which Tencent Hunyuan model should I use?

Choose based on the workload: Chinese-language applications, general chat, reasoning, coding, and long-context processing. Compare actual price, context, reasoning, tool calling, and output limits in the live catalog.

Does this page include every Tencent Hunyuan modality?

Hunyuan 3D, Hunyuan Video, and Hunyuan Image searches have different model and endpoint requirements from the LLM models on this page.

Start Building With Tencent Hunyuan

Choose a Tencent Hunyuan model, copy its model ID, create a TokenHub API key, and send your first request through one compatible API workflow.

View Tencent Hunyuan Models Get API key