Meta
99.98%Context1M
Max output1M
p50 latency4,577 ms
Throughput89.0 t/s
Input price$1.25
Output price$4.25
Caching
Model directory
Baseer model profileLanguage model
meta/muse-spark-1.3
Muse Spark 1.3
Muse Spark 1.3 is Meta’s multimodal reasoning model for long-horizon agentic and coding workflows. With a 1M-token context window, reliable tool calling, higher first-attempt accuracy, and native understanding of video, images, and documents, it helps developers build capable coding agents and AI development workflows with fewer unnecessary turns and cleaner output.
Input / 1M tokens$1.25
Output / 1M tokens$4.25
Maximum context1M
Inference providers1
Price comparison
USD per one million tokens, using current provider data.
Provider latency
Last-hour p50 in milliseconds; lower is better.
Provider uptime
Reported availability over the last 24 hours; not a contractual SLA.
Inference providers
Compare current pricing, performance, and privacy across every available provider.
| Provider | Maximum context | Max output | p50 latency | p50 throughput | 24h uptime | Input / 1M tokens | Output / 1M tokens | Privacy |
|---|---|---|---|---|---|---|---|---|
Meta | 1M | 1M | 4,577 ms | 89.0 t/s | 99.983% | $1.25 | $4.25 |
What can this model do?
Available modalities and capabilities across inference providers.
TextImageFileAdvanced reasoningTool useAutomatic cachingFile inputVisionTools
Technical profile
- Model type
- Language model
- Release date
- —
- Knowledge cutoff
- —
- Regions
- —
- API specifications
- V2, V3, V4
- Temperature control
- Supported
Model identifier
meta/muse-spark-1.3Model profile updated: Sep 12, 2026, 1:46 PM
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