meta logo
meta

Meta: Muse Spark 1.3 Contributor

Source description (English)

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

Overview

Model specifications

Context
1,048,576 tokens
Maximum output
943,718 tokens
Architecture
text+image+file+audio+video->text
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
Yes
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.1
per 1M tokens
Output
$0.2
per 1M tokens
Cache read
$0.002
per 1M tokens
Web search
$2.5
per 1,000 calls
API

Model configuration

Reasoning

Reasoning required
Yes
Default parameters
medium
Capabilities
max, xhigh, high, medium, low, minimal
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"meta/muse-spark-1.3-contributor","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

InputOutput

Input
textimagevideofileaudio
Output
text
Reasoning

No · max · xhigh · high · medium · low · minimal

API

Supported API parameters

include_reasoningmax_tokensreasoningreasoning_effortrepetition_penaltyresponse_formatstructured_outputstemperaturetool_choicetoolstop_ktop_p
Available providers

1 Provider

Checked: September 7, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Meta

Not provided
Context
1.0M
Maximum output
944K
Input
$0.1
Output
$0.2
Cache read
$0.002
Cache write
Not provided
meta

4 models

All models