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Meta: Muse Spark 1.3: AI model

Muse Spark 1.3 is Meta's multimodal reasoning model for long agent and coding work from Meta with a 1M-token context window. Reachable from inside Iran through Hormouz.

Context window:
1,048,576 tokens
Input:
$1.25/1M tokens
Output:
$4.25/1M tokens
Type:
text, image, video
  • Vision
  • Tools
  • Streaming
  • Long context
Good for:Popular for Programming · #20Ranks are based on global usage data

Thinking levels: Always thinks · max · xhigh · high · medium · low · minimal

Muse Spark 1.3 is Meta's multimodal reasoning model for long-running agent, multi-agent and coding workflows. It is designed to hold on to information across extended tasks, reconcile conflicting inputs and stop to ask for clarification or confirmation when it should, while keeping its own output concise. It reasons on every request, with effort levels from minimal to max.

It accepts text, image, file (PDF) and video input and returns text, and supports tool calling, structured JSON output and streaming. It always reasons before answering, and you choose how hard it thinks with the reasoning effort setting. Muse Spark 1.3 is commonly used for long-running agents, multi-agent systems, coding workflows and tasks that need careful clarification. Hormouz serves it behind an OpenAI-compatible API: point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs without changes.

Pricing is usage-based: $1.25 per million input tokens and $4.25 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use. Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta/muse-spark-1.3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorMeta
TypeText, Image, Video
Context window1,048,576 tokens
Pricing$1.25/M in · $4.25/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools
Full-Stack
Top 14%
1,294Elo
Win rate: 56.2%
Mobile Apps
Top 28%
1,212Elo
Win rate: 45%
Python Slides
Top 26%
1,244Elo
Win rate: 51.4%
Web Apps
Top 10%
1,289Elo
Win rate: 56.5%
3D
Top 4%
1,366Elo
Win rate: 58.9%Avg time: 153s
Code
Top 2%
1,360Elo
Win rate: 57.5%Avg time: 196s
Data Viz
Top 5%
1,334Elo
Win rate: 56.9%Avg time: 135s
Game Dev
Top 5%
1,343Elo
Win rate: 54.6%Avg time: 200s
SVG
Top 4%
1,310Elo
Win rate: 56%Avg time: 79.6s
UI Component
Top 3%
1,359Elo
Win rate: 57.9%Avg time: 121s
Website
Top 1%
1,365Elo
Win rate: 58.4%Avg time: 199s
Godot Game Dev
Top 19%
1,241Elo
Win rate: 45.8%

Metrics sourced from Design Arena

Code example

cURL
curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta/muse-spark-1.3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="meta/muse-spark-1.3",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "meta/muse-spark-1.3",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Meta: Muse Spark 1.3 API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches Meta: Muse Spark 1.3 and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
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FAQ

How much does Muse Spark 1.3 cost?
Pricing is usage-based: $1.25 per million input tokens and $4.25 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use.
How do I access Muse Spark 1.3 from inside Iran?
Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.
Is Muse Spark 1.3 compatible with OpenAI code?
Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.
What context window and capabilities does Muse Spark 1.3 have?
It has a 1M-token context window, accepts text, image, file (PDF) and video input, and supports tool calling, structured JSON output and streaming. It always reasons before answering, and you choose how hard it thinks with the reasoning effort setting.
What is Muse Spark 1.3 good for?
Typical uses are long-running agents, multi-agent systems, coding workflows and tasks that need careful clarification.

Updated 2026-10-13