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Audio understanding in Muse Spark 1.3 is currently not fully supported, and response quality for requests including audio content may be degraded.

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Meta: Muse Spark 1.3 Contributor

meta/muse-spark-1.3-contributor

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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.

Modalities

In / Out Price

$0.10 / $0.20per 1M

Context

1M

Released

Sep 2, 2026

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ProvidersPricingPerformanceUptimeAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

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.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

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$0.10$0.20$0.0022.87s100 tps
100.00%

Throughput

100tok/s

P50, best across providers

Latency

2.87s

P50, best provider

Uptime (3d)

100.00%

Availability (3d)

100.00%

Availability over the last 3 days

Last 72 hours
Availability 100.00%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
100.00%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

1.
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Hermes Agent
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There are many coding agents, but this one is yours.
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Frequently asked questions

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.

Muse Spark 1.3 Contributor costs $0.10/M input tokens and $0.20/M output tokens, with separate rates for Cache Read at $0.002/M tokens and Web Search at $2.50/1K calls.

Muse Spark 1.3 Contributor has a 1,048,576 token context window.

Yes. Muse Spark 1.3 Contributor accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Muse Spark 1.3 Contributor accepts text, images, video, files such as PDFs and audio as input and returns text.

Muse Spark 1.3, Muse Spark 1.2 Contributor, Muse Glimmer 30B and 2 more are other text models from Meta.

Muse Spark 1.3 Contributor was released on September 2, 2026.