Hy-MT2-1.8B API: toman pricing and code
tencent/hy-mt2-1.8b
You are billed for the usage the request actually reported. Prices follow the market.Pricing and top-ups
Hy-MT2-1.8B example: writing product copy
The example is picked from this model's own capabilities. Drop in your key and it runs as is.
from openai import OpenAI
client = OpenAI(base_url="https://api.uttapen.ir/v1", api_key="sk-up-…")
stream = client.chat.completions.create(
model="tencent/hy-mt2-1.8b",
messages=[{"role": "user", "content": "Write a 40-word product description for a 1.7-litre stainless steel electric kettle."}],
stream=True,
)
for chunk in stream:
print(chunk.choices[0].delta.content or "", end="", flush=True)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.uttapen.ir/v1", apiKey: "sk-up-…" });
const stream = await client.chat.completions.create({
model: "tencent/hy-mt2-1.8b",
messages: [{ role: "user", content: "Write a 40-word product description for a 1.7-litre stainless steel electric kettle." }],
stream: true,
});
for await (const chunk of stream) process.stdout.write(chunk.choices[0]?.delta?.content ?? "");curl https://api.uttapen.ir/v1/chat/completions \
-H "Authorization: Bearer sk-up-…" \
-H "Content-Type: application/json" \
-d '{
"model": "tencent/hy-mt2-1.8b",
"messages": [{"role": "user", "content": "Write a 40-word product description for a 1.7-litre stainless steel electric kettle."}],
"stream": true
}'What is Hy-MT2-1.8B good for?
The id for Hy-MT2-1.8B in our API is "tencent/hy-mt2-1.8b", served from Tencent. Context is 8,192 tokens; past that you have to summarise the history yourself. A single response can run to 4,096 tokens. On price it sits in the "very cheap" band — cheaper than 27 and dearer than 379 of the other paid models in the catalogue.
Hy-MT2-1.8B is text in, text out: no tool calling, no image input. For chat, rewriting, translation and summarising that is all you need, and it costs less than a model carrying features you never call.
For a back-of-envelope figure: about 83 toman per 1,000-word exchange (12,766 in, 51,352 out, per 1M tokens). You are always charged for the usage the request actually reported, never for the estimate, and a failed request costs nothing.
The closest alternative with the same capabilities from a different provider is gpt-oss-20b (batch): Hy-MT2-1.8B works out roughly 1.1× cheaper, and its context window is smaller. Both run on the same key and the same code, so trying the other one is a single string change.
To make the figure concrete: 100,000 toman of credit buys roughly 1,205 thousand-word requests on Hy-MT2-1.8B, and every 1,000 toman is about 12,048 words of round trip. A job with one million input tokens and one million output tokens comes to 64,118 toman in total. Filling this model's 8,192-token window costs 105 toman on the input side alone, which is the real reason to keep conversation history short.
Tencent has 7 models in our catalogue; the cheapest is Hy-MT2-1.8B at 83 toman per thousand words and the dearest Hy4 preview at 1,258. Among the less common parameters it accepts max_completion_tokens — all through the standard request body. It does not support include_reasoning, reasoning, response_format, tool_choice, which most models here do, so test before switching if your code relies on them. By context size the nearest option from another provider is R1 Distill Llama 70B at 8,192 tokens.
What to use it for: high-volume work such as classification, tagging and bulk summarising, short single-turn requests (the context window is small).
Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided...
Three real jobs, priced on this model
Each figure is derived from the prices above and moves when they do.
| Job | Tokens | Cost |
|---|---|---|
| One chat turn with a medium history | 1,500 in + 400 out | 40 toman |
| Summarising a ten-page document | 4,000 in + 600 out | 82 toman |
| Classifying a thousand short rows | 120,000 in + 20,000 out | 2,559 toman |
Frequently asked
- How do I call Hy-MT2-1.8B from Iran?
- Sign up with your mobile number, top the wallet up in toman, create an API key, then in the official OpenAI SDK point base_url at https://api.uttapen.ir/v1 and set model to "tencent/hy-mt2-1.8b". Nothing else in your code changes.
- What does Hy-MT2-1.8B cost in toman?
- 12,766 toman per 1M input tokens and 51,352 toman per 1M output tokens; a 1,000-word request is around 83 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
- How much input does Hy-MT2-1.8B take?
- Up to 8,192 tokens per request, roughly 6k words. A single answer can reach 4,096 tokens.
- Can I stream Hy-MT2-1.8B's output?
- Yes — with stream=true you get SSE events as the tokens are produced. This model has no tool calling and no image input, so pick a different one if you need either.