Moduck

Tencent: Hy-MT2-30B-A3B

Tencent Hy reasoning model for coding, instruction following, and agent tasks

Model lab
Tencent
Model family
Hy
Modalitiestext → text
Context window8,192
Maximum output4,096
InputUSD 0.0592 / 1M tokens
OutputUSD 0.236 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/tencent/hy-mt2-30b-a3b.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/tencent/hy-mt2-30b-a3b"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Hy-MT2-30B-A3B API Pricing

TypePrice information
InputUSD 0.0592 / 1M tokens
OutputUSD 0.236 / 1M tokens

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Performance trends

Throughput90.0 tok/sCurrent
Time to first token1.3 sCurrent
End-to-end latency7.4 sCurrent
Throughput
Current90.0 tok/s
Window average89.8 tok/s
Time to first token
Current1.3 s
Window average1.4 s
End-to-end latency
Current7.4 s
Window average7.5 s
Tail latency (P99)
Current14.9 s
Window average17.0 s
Prompt cache hit rate
Current31.2%
Window average22.5%
Error rate
Current0.0%
Window average0.1%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

Hy-MT2-30B-A3B Compare models

ModelInput priceOutput priceContext windowCapabilities
Hy-MT2-30B-A3BThis pageUSD 0.0592 / 1M tokensUSD 0.236 / 1M tokens8,192Text output
Hy4 previewUSD 0.536 / 1M tokensUSD 1.6 / 1M tokens1,024,000Text output · Reasoning · Tool calling
Hy-MT2-1.8BUSD 0.0352 / 1M tokensUSD 0.1416 / 1M tokens8,192Text output
Hy-MT2-7BUSD 0.0592 / 1M tokensUSD 0.236 / 1M tokens8,192Text output
Hy3USD 0.0528 / 1M tokensUSD 0.208 / 1M tokens256,000Text output · Reasoning · Tool calling

Model specifications

Input
text
Output
text
Context window
8,192
Maximum output
4,096
Release date
2026-08-20
Attachments
No
Reasoning
No
Tool calling
No
Structured output
Yes
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is Hy-MT2-30B-A3B for?

Tencent Hy reasoning model for coding, instruction following, and agent tasks

What inputs and outputs does Hy-MT2-30B-A3B support?

Recorded inputs: text; outputs: text.

How is Hy-MT2-30B-A3B priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.0592 / 1M tokens; Output USD 0.236 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Hy-MT2-30B-A3B?

Current model records list Context window 8,192 tokens; Maximum output 4,096 tokens.

What model parameter does the Quickstart use?

The example uses moduck/tencent/hy-mt2-30b-a3b. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.