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Muse Spark 1.3

meta/muse-spark-1.3

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows.

Key facts

Input price
$1.25 / 1M tokens
Output price
$4.25 / 1M tokens
Context window
1M tokens
Max output
944K tokens
Accepts
Text, Images, Files, Video
Returns
Text

Example: 1,000 requests with 1,000 input and 500 output tokens each would cost about $3.38 (1M input tokens × $1.25 + 0.5M output tokens × $4.25). Estimate your own usage.

Prices are the provider’s own per-token rates with zero markup, from our price list as of Oct 18, 2026. If a call has extra provider charges (images, audio, web search, cached prompts), you pay the reported cost.

Call it from your code

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

Works with any OpenAI-compatible SDK: set the base URL to https://api.tokenctr.com/v1. Quickstart

Benchmarks

Artificial Analysis

Intelligence index
48.1
Coding index
75.8
Agentic index
55.5

Design Arena

CategoryRankEloWin rate
Agents: Web apps2129054.7%
Models: SVG2132354%
Models: Websites2135858.2%
Agents: Full-stack3131260.8%
Models: UI components4135157.8%
Models: 3D5139763.5%
Models: Code5135557.3%
Models: Data visualization6134458.1%
Agents: Godot game dev7124145.8%
Models: Game dev8134655.9%
Agents: Mobile apps10121947.9%
Agents: Slides (python-pptx)10124451.4%
Models: ASCII art13126651.9%

Source: Artificial Analysis indexes and Design Arena results as published in OpenRouter’s model data, fetched Oct 15, 2026. Higher is better. Not measured by TokenCenter. See all rankings.

Supported request parameters

include_reasoningmax_tokensreasoningreasoning_effortrepetition_penaltyresponse_formatstructured_outputstemperaturetool_choicetoolstop_ktop_p