Hy-MT2-30B-A3B with Jev
Hy-MT2-30B-A3B is a model from Tencent, released 2026-08-20. It costs $0.074 per million input tokens and $0.295 per million output tokens, reads up to 8K tokens of context, and writes up to 4,096 tokens in one reply. Through llm11, set model to tencent/hy-mt2-30b-a3b.
- Input price
- $0.074 / 1M
- Output price
- $0.295 / 1M
- Context window
- 8K tokens
- Max output
- 4K tokens
- Released
- 2026-08-20
- Accepts
- text
Read from the live catalogue and refreshed daily. At blended list price, 86% of the 332 priced models we can call cost more.
Using Hy-MT2-30B-A3B with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Hy-MT2-30B-A3B does the answering when Jev sends it work, or when you name it yourself. At list price Hy-MT2-30B-A3B falls in the llm11-fast band, but no pack routes to it because its context window is under 32K tokens, the floor for pack members. You can still pin it: pass tencent/hy-mt2-30b-a3b as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Hy-MT2-30B-A3B with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00010 | $0.096 |
| Question over retrieved documents | 4,000 / 500 | $0.00044 | $0.444 |
| Long document summary | 30,000 / 1,000 | $0.00251 | $2.51 |
Cheaper models to try
The catalogue has no benchmark score for Hy-MT2-30B-A3B, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Qwen Qwen2.5 7B Instruct | $0.100 | $0.200 | 33K | |
| Qwen Qwen3 Coder 30B A3B Instruct | $0.070 | $0.280 | 262K | |
| Qwen Qwen3.5-Flash | $0.065 | $0.260 | 1M | |
| Qwen Qwen3.5-9B | $0.100 | $0.150 | 262K |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="tencent/hy-mt2-30b-a3b",
messages=[{"role": "user", "content": "Hello"}],
)More from Tencent
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Hy4 preview | $0.834 | $2.50 | 1.05M | |
| Hy-MT2-1.8B | $0.044 | $0.177 | 8K | |
| Hy-MT2-7B | $0.074 | $0.295 | 8K | |
| Hy3 | $0.132 | $0.528 | 262K | |
| Hy3 preview | $0.180 | $0.600 | 262K | |
| Hunyuan A13B Instruct | $0.140 | $0.570 | 131K |
Questions
- What is Hy-MT2-30B-A3B with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Hy-MT2-30B-A3B does the answering when Jev sends it work, or when you name it yourself. At list price Hy-MT2-30B-A3B falls in the llm11-fast band, but no pack routes to it because its context window is under 32K tokens, the floor for pack members. You can still pin it: pass tencent/hy-mt2-30b-a3b as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Hy-MT2-30B-A3B a System One model?
- No. Hy-MT2-30B-A3B answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Hy-MT2-30B-A3B cost?
- $0.074 per million input tokens and $0.295 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00044, so a thousand of them is about $0.444. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Hy-MT2-30B-A3B context window?
- 8,192 tokens, with up to 4,096 tokens in a single reply.
- Does Hy-MT2-30B-A3B support tool calling and structured output?
- The catalogue lists structured output, but it does not list tool calling and reasoning controls.
- Can I use Hy-MT2-30B-A3B through llm11?
- Yes. Set model to tencent/hy-mt2-30b-a3b on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Hy-MT2-30B-A3B?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Hy-MT2-30B-A3B falls in the llm11-fast band, but no pack routes to it because its context window is under 32K tokens, the floor for pack members. You can still pin it: pass tencent/hy-mt2-30b-a3b as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Hy-MT2-30B-A3B?
- Nearest in price and below it: Qwen Qwen2.5 7B Instruct at $0.100 in and $0.200 out, Qwen Qwen3 Coder 30B A3B Instruct at $0.070 in and $0.280 out and Qwen Qwen3.5-Flash at $0.065 in and $0.260 out. The catalogue has no benchmark score for Hy-MT2-30B-A3B, so this is a price ordering. It does not claim these answer as well.