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Muse Spark 1.2 API

Call Muse Spark 1.2 with the model ID muse-spark-1.2 through ScaleMax's OpenAI-compatible API. It costs $0.20 per million input tokens and $0.60 per million output tokens, prepaid, with no subscription.

Lowest price · Reads images

Get an API keySee the code
Model ID
muse-spark-1.2
Maker
More models
Input / 1M tokens
$0.20
Output / 1M tokens
$0.60
Context window
Not published
Max output
Not published

Muse Spark 1.2 pricing

ScaleMax publishes one customer rate per model and deducts each completed request from your prepaid balance at that rate: $0.20 per 1M input tokens and $0.60 per 1M output tokens for Muse Spark 1.2.

What typical requests cost at the standard rate (token counts are illustrative sizes):

RequestSizeCost per requestPer $25 of credit
Chat reply2,000 tokens in, 600 out$0.00076about 32,894 requests
Coding-agent step40,000 tokens in (files + history), 2,000 out$0.0092about 2,717 requests
Long-document pass200,000 tokens in, 4,000 out$0.042about 589 requests

The Starter credit pack costs $2.50 and adds $25 of usage credit (larger packs add more per dollar — see how pricing works). Prompt-cache reads, where the model supports caching, can bill below the input rate.

Pay by UPI, PayU or Cashfree (UPI, cards, net banking), Cryptomus (crypto) or PayPal. Prices on this page are in US dollars; India checkout shows rupees. See what ₹1,000 buys for token packs.

How to call Muse Spark 1.2

Create a key in the dashboard, export it as SCALEMAX_API_KEY, and send muse-spark-1.2 as the model. OpenAI-compatible clients use the base URL https://api.scalemax.pro/v1. Token pack keys use /token/v1 instead of /v1.

curl · Chat Completions
curl https://api.scalemax.pro/v1/chat/completions \
  -H "Authorization: Bearer $SCALEMAX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "muse-spark-1.2",
    "messages": [{"role": "user", "content": "Explain this error in one line."}],
    "max_tokens": 300
  }'
Python · OpenAI SDK
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.scalemax.pro/v1",
    api_key=os.environ["SCALEMAX_API_KEY"],
)

reply = client.chat.completions.create(
    model="muse-spark-1.2",
    messages=[{"role": "user", "content": "Explain this error in one line."}],
    max_tokens=300,
)
print(reply.choices[0].message.content)
Node · OpenAI Responses API
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.scalemax.pro/v1",
  apiKey: process.env.SCALEMAX_API_KEY,
});

const response = await client.responses.create({
  model: "muse-spark-1.2",
  input: "Explain this error in one line.",
  max_output_tokens: 300,
});
console.log(response.output_text);

Keep the key server-side. Call GET /v1/models with your key to see every model it can use; the quick start covers errors and streaming.

Capabilities and limits

  • Context window: not published in the catalogue.
  • Maximum output: not published in the catalogue.
  • Supports: Reads images, Tool / function calling, Reasoning effort control, Responses API.
  • Streaming: server-sent events on every route.

Works in

Any OpenAI-compatible client: Cursor, Cline, Roo Code, Kilo Code, OpenCode, Continue, Aider, Zed and Hermes Agent, with the model ID above. Setup steps for each are on the integrations page.

Other More models models

ModelModel IDInput / 1MOutput / 1MContext
Muse Spark 1.2muse-spark-1.2$0.20$0.60—
Hunyuan 3hunyuan-3$0.20$0.60200,000
Hunyuan 4hy4$0.20$0.60—
MiMo V2.5 Promimo-v2.5-pro$0.14$0.281,048,576

Lower-cost alternatives

Models from other makers with a lower output rate. Quality differs by task — test on your own prompts before switching.

ModelModel IDInput / 1MOutput / 1MContext
DeepSeek V4 Flashdeepseek-v4-flash$0.19$0.511,000,000
GPT-6 Lunagpt-6-luna$0.10$0.501,050,000

All models, with their IDs and rates, are on the model list.

Muse Spark 1.2 API questions

What is the API model ID for Muse Spark 1.2?

Use muse-spark-1.2. Send it as the "model" field to https://api.scalemax.pro/v1/chat/completions.

How much does the Muse Spark 1.2 API cost?

$0.20 per 1M input tokens and $0.60 per 1M output tokens at the published ScaleMax rate. A Pay as you go key is prepaid: each completed request is deducted from your credit.

Can I use Muse Spark 1.2 in Cursor, Cline or Roo Code?

Yes. Add ScaleMax as an OpenAI-compatible provider with the base URL https://api.scalemax.pro/v1 and the model ID muse-spark-1.2. Your key must include this model.

Can I pay for Muse Spark 1.2 from India in rupees?

Yes. ScaleMax is prepaid and checkout accepts UPI, cards and net banking in INR, as well as crypto. There is no subscription.

Use Muse Spark 1.2 in your tools

Start calling Muse Spark 1.2

Get a prepaid key, copy the model ID, and send your first request in a couple of minutes.

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