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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

meta/muse-spark-1.3

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Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through conflicting inputs, and request clarification or confirmation when needed, with an emphasis on concise execution.

Modalities

In / Out Price

$1.25 / $4.25per 1M

Context

1.0M

Released

Sep 2, 2026

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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

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.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Benchmark score summary for Meta: Muse Spark 1.3 (Design Arena)
SourceBenchmarkScore
Design ArenaMuse Spark 1.3 (xhigh) Agents Arena Full Stack Elo1305
Design ArenaMuse Spark 1.3 (xhigh) Agents Arena Mobile Apps Elo1227
Design ArenaMuse Spark 1.3 (xhigh) Agents Arena Python-Pptxslides Elo1245
Design ArenaMuse Spark 1.3 (xhigh) Agents Arena Webapps Elo1310
Design ArenaMuse Spark 1.3 (xhigh) Models Arena 3D Elo1386
Design ArenaMuse Spark 1.3 (xhigh) Models Arena Code Categories Elo1364
Design ArenaMuse Spark 1.3 (xhigh) Models Arena Data Visualization Elo1332
Design ArenaMuse Spark 1.3 (xhigh) Models Arena Game Development Elo1357
Design ArenaMuse Spark 1.3 (xhigh) Models Arena UI Component Elo1387
Design ArenaMuse Spark 1.3 (xhigh) Models Arena Website Elo1364

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.

Explore more models

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Frequently asked questions

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through conflicting inputs, and request clarification or confirmation when needed, with an emphasis on concise execution.

Muse Spark 1.3 costs $1.25/M input tokens and $4.25/M output tokens, with separate rates for Cache Read at $0.15/M tokens and Web Search at $2.50/1K calls.

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

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

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

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

Muse Spark 1.3 was released on September 2, 2026.