Hy-MT2-30B-A3B overview
Hy-MT2-30B-A3B by Tencent
Meet Hy-MT2-30B-A3B, Tencent's flagship MoE translation model supporting 33 language pairs and five Chinese dialects.
Hy-MT2-30B-A3B specs
- Model ID
tencent/hy-mt2-30b-a3b- Developer
- Tencent
- Context window
- 8,192 tokens
- Max output
- 4,096 tokens
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
What Is Hy-MT2-30B-A3B API?
Hy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family, a 30B-parameter Mixture-of-Experts model with roughly 3B active parameters per token (the "A3B" suffix). It supports 33 language pairs plus five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, and glossary-based translation.
Technical Reference
| Developer | Tencent |
|---|---|
| Model ID | tencent/hy-mt2-30b-a3b |
| Release Date | August 20, 2026 |
| Context Window | 8,192 tokens |
| Max Output Tokens | 4,096 |
| Architecture | Mixture-of-Experts, 30B total / ~3B active parameters |
| Modalities | Text (input) → Text (output) |
| Capabilities | Streaming, structured (JSON schema) output |
Flagship translation quality
As the largest model in the Hy-MT2 family, it targets the highest translation accuracy across the family's supported language pairs.
Mixture-of-Experts efficiency
Only a fraction of its 30B parameters activate per token, aiming to keep inference costs closer to a smaller dense model while retaining a larger model's capacity.
Structured and glossary-based workflows
Structured, delimiter-based, contextual, and glossary-based translation modes support both raw and terminology-constrained translation.
High-accuracy translation
The largest model in the family, suited to translation work where quality matters more than raw throughput cost.
Use cases
Model-specific sources describe Hy-MT2-30B-A3B as a multilingual translation model suited to general translation tasks across 33 languages, including instruction-following translation in multiple languages.
It is also documented for real-world business translation, where it is positioned for complex practical scenarios and broad business use.
The model is further described as suitable for domain-specific translation, with reported strength in professional domains such as finance, law, and politics.
Sources also characterize it as useful for structured, glossary-based, context-aware, and style-guided translation workflows.
Capabilities
- Streaming
- Structured outputs
Hy-MT2-30B-A3B API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.0783 | 1M tokens |
| Output | $0.3121 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Hy-MT2-30B-A3B vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 Hy-MT2-30B-A3B | $0.0783 | $0.3121 |
| Hy-MT2-1.8B | $0.0466 | $0.1873 |
| Hy-MT2-7B | $0.0783 | $0.3121 |
| Hy3 | $0.2116 | $0.8464 |
| Hy4 Preview | $0.8824 | $2.65 |
How to use the Hy-MT2-30B-A3B API
View docs
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "tencent/hy-mt2-30b-a3b",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "tencent/hy-mt2-30b-a3b",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "tencent/hy-mt2-30b-a3b",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to Hy-MT2-30B-A3B
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Hy-MT2-30B-A3B FAQ
What is the context window of Hy-MT2-30B-A3B?
Hy-MT2-30B-A3B has a 8,192 tokens context window and can return up to 4,096 tokens.
What inputs and outputs does Hy-MT2-30B-A3B support?
Hy-MT2-30B-A3B takes text as input and returns text.
What is the model ID for Hy-MT2-30B-A3B?
Use tencent/hy-mt2-30b-a3b as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
When was Hy-MT2-30B-A3B released?
Hy-MT2-30B-A3B became available on August 20, 2026.
How much does Hy-MT2-30B-A3B cost?
Hy-MT2-30B-A3B costs $0.0783 input and $0.3121 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Does Hy-MT2-30B-A3B support streaming?
Yes, Hy-MT2-30B-A3B can stream responses as they are generated.
Who created Hy-MT2-30B-A3B?
Hy-MT2-30B-A3B was built by Tencent.
Does Hy-MT2-30B-A3B support tool calling?
Tool calling is not listed among its capabilities, which include streaming and structured output.