Relace Apply 3 API: toman pricing and code
relace/relace-apply-3
You are billed for the usage the request actually reported. Prices follow the market.Pricing and top-ups
Relace Apply 3 example: rewriting tone
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="relace/relace-apply-3",
messages=[{"role": "user", "content": "Rewrite this support reply politely: \"That's your problem, just try again.\""}],
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: "relace/relace-apply-3",
messages: [{ role: "user", content: "Rewrite this support reply politely: \"That's your problem, just try again.\"" }],
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": "relace/relace-apply-3",
"messages": [{"role": "user", "content": "Rewrite this support reply politely: \"That's your problem, just try again.\""}],
"stream": true
}'What is Relace Apply 3 good for?
Relace publishes this model; we expose it under the id "relace/relace-apply-3". Its context window is 256,000 tokens, roughly 192k English words in one request. A single response can run to 128,000 tokens. On price it sits in the "cheap" band — cheaper than 164 and dearer than 242 of the other paid models in the catalogue.
This one handles text only. If you need function calling or image understanding, pick another model from the same catalogue — swapping is a one-line change.
For a back-of-envelope figure: about 792 toman per 1,000-word exchange (246,606 in, 362,656 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 MiniMax M2-her: Relace Apply 3 works out roughly 1.4× more expensive, and its context window is larger. 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 126 thousand-word requests on Relace Apply 3, and every 1,000 toman is about 1,263 words of round trip. A job with one million input tokens and one million output tokens comes to 609,263 toman in total. Filling this model's 256,000-token window costs 63,131 toman on the input side alone, which is the real reason to keep conversation history short.
Relace has 2 models in our catalogue; the cheapest is Relace Apply 3 at 792 toman per thousand words and the dearest Relace Search at 1,509. It does not support include_reasoning, reasoning, response_format, temperature, 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 Command A at 256,000 tokens.
What to use it for: high-volume work such as classification, tagging and bulk summarising, analysing a long document or codebase in one request.
Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at...
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 | 515 toman |
| Summarising a ten-page document | 4,000 in + 600 out | 1,204 toman |
| Classifying a thousand short rows | 120,000 in + 20,000 out | 36,846 toman |
Frequently asked
- How do I call Relace Apply 3 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 "relace/relace-apply-3". Nothing else in your code changes.
- What does Relace Apply 3 cost in toman?
- 246,606 toman per 1M input tokens and 362,656 toman per 1M output tokens; a 1,000-word request is around 792 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
- How much input does Relace Apply 3 take?
- Up to 256,000 tokens per request, roughly 192k words. A single answer can reach 128,000 tokens.
- Can I stream Relace Apply 3'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.