meta

Muse Spark 1.3

Muse Spark 1.3 is Meta’s multimodal reasoning model for long-horizon agentic and coding workflows. With a 1M-token context window, reliable tool calling, higher first-attempt accuracy, and native understanding of video, images, and documents, it helps developers build capable coding agents and AI development workflows with fewer unnecessary turns and cleaner output.

text inputimage inputpdf inputtext outputlanguage
const response = await fetch('https://api.minirouter.sh/v1/chat/completions', {  method: 'POST',  headers: {    Authorization: `Bearer ${process.env.MINIROUTER_KEY}`,    'Content-Type': 'application/json',  },  body: JSON.stringify({    model: 'meta/muse-spark-1.3',    messages: [{ role: 'user', content: 'Why is the sky blue?' }],  }),}) const data = await response.json()console.log(data.choices[0].message.content)
Read docs →

Overview

Model type
language
Context window
1,048,576
Maximum output
1,048,576
Input / 1M tokens
$1.3125
Output / 1M tokens
$4.4625
Released
Not reported

Prices include the MiniRouter fee. Compatibility snapshot: 2026-08-06. Input: text, image, pdf. Output: text.

Endpoints

/v1/chat/completions/v1/messages/v1/responses

Platform-funded routing only. Caller BYOK credentials and OIDC-based upstream authentication are intentionally excluded; authenticate with a MiniRouter bearer key.

Captured parameters: max_tokens, temperature, stop, tools, tool_choice, reasoning, include_reasoning.

API

Use the setup panel above to switch between Chat Completions, Messages, and client configurations. Every snippet keeps the model ID unchanged.

Base URLhttps://api.minirouter.sh/v1
Model IDmeta/muse-spark-1.3

Providers

MiniRouter selects from the configured routes below. Priority is the catalog order, not a latency or availability score.

ProviderPriorityInput / 1MOutput / 1MParametersAccess
vercel
1$1.3125$4.4625max_tokens, temperature, stop, tools, tool_choice, reasoning, include_reasoningMiniRouter balance