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... Built by Meta.
Prices updated
Input price
$0.10
per 1M tokens · Standard
Output price
$0.20
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
944K
tokens
Input formats
Output formats
Muse Spark 1.3 Contributor price history
2 price records since 9/25/2026
Muse Spark 1.3 Contributor cost calculator
$3.00/month
Standard pricing
Overview
What is Muse Spark 1.3 Contributor?
Muse Spark 1.3 Contributor is a text & reasoning and vision model from Meta. 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... Its 1M context window and $0.10 input price make it a candidate for cost-sensitive, high-throughput applications.
Rates
Muse Spark 1.3 Contributor pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.10
Per 1M tokens
Cached input · Standard
$0.0020
Per 1M tokens
Capabilities
Muse Spark 1.3 Contributor Tools
Tools available when using Muse Spark 1.3 Contributor through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Not supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.10 per million tokens suits high-volume workloads.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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