Hunyuan A13B Instruct

Tencent chatreasoningtool_use

API ID: tencent/hunyuan-a13b-instruct

Input Price
$0.14
/1M tokens
Output Price
$0.57
/1M tokens

About Hunyuan A13B Instruct

Hunyuan is Tencent's language model, delivering strong performance on general AI tasks. The model excels at conversation, content generation, and analysis with good Chinese language capability. Hunyuan integrates with Tencent's cloud services for enterprise deployment. For applications within Tencent's ecosystem, Hunyuan offers capable AI from a major Chinese tech company.

💰
Price Ranking
#394 lowest price among 599 Chat models

Model Specifications

Context Length
131k
Max Output
131k
Release Date
2025-07-08
Capabilities
chat reasoning tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.23
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$7.23
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$9.99
/month
500 analyses/day, ~2k tokens each

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Alibaba Qwen Qwen3 235B A22B Thinking 2507
Input: $0.11
Output: $0.60
Context: 262k
Alibaba Qwen Qwen3 235B A22B
Input: $0.18
Output: $0.54
Context: 41k
Baidu ERNIE 4.5 VL 28B A3B
Input: $0.14
Output: $0.56
Context: 30k
Meta Llama 3 70B Instruct
Input: $0.30
Output: $0.40
Context: 8k

🚀 Quick Start

Get started with Hunyuan A13B Instruct API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="tencent/hunyuan-a13b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)