New Model Available: Muse Spark 1.3 Contributor

Meta has released Muse Spark 1.3 Contributor, a cost-efficient tier of its multimodal reasoning model priced at $0.1 per million input tokens and $0.2 per million output tokens, designed for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. The model tracks information across extended tasks, handles conflicting inputs, and can request clarification, with prompts and outputs potentially used to improve Meta's products.

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 across extended tasks, work through conflicting inputs, and request clarification or confirmation when needed. Prompts and outputs may be used to improve Meta’s products. Back to Models https://zenmux.ai/models Providers Route requests across multiple providers. Copy a provider slug to set your preference. $0.1 / M tokens $0.2 / M tokens Read: 0.002 / M tokens Write: - / M tokens1.05M2.43s68.2tps Uptime 24hours Direct request success rate on AI Gateway and per-provider. Throughput 24hours P50 throughput on live AI Gateway traffic, in tokens per second TPS . Latency 24hours P50 time to first token TTFT on live AI Gateway traffic, in milliseconds. Activity Token volume and request traffic to this model over time. Apps Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All https://zenmux.ai/analytics/apps Related Models More models from Meta https://zenmux.ai/meta