Meta

Muse Spark 1.3

muse-spark-1.3

Meta Superintelligence Labs multimodal reasoning model for agentic long-horizon tasks and coding

Muse Spark 1.3 is a multimodal reasoning model released by Meta Superintelligence Labs on 2026-09-02 with 1M context and text/image/video/document input; Meta Model API offers muse-spark-1.3 and muse-spark-1.3-contributor (lower price in exchange for data contribution), and it is already live in the Muse Code coding agent.

1M-token context1M context
Released2026-09-02
Relays4 sites
ReasoningLong contextCodingAgents

Model information

Model ID
muse-spark-1.3
Context
1M
Max input
-
Max output
131.1K
Knowledge cutoff
-
Open weights
Not supported
License
-
Release date
2026-09-02

Input

Text: SupportedImage: SupportedAudio: SupportedVideo: SupportedPDF: SupportedFile: Supported

Output

Text: SupportedImage: Not supportedAudio: Not supportedVideo: Not supported

API capabilities

Reasoning: SupportedTool call: SupportedStructured output: SupportedTemperature: Supported

Meta Official Pricing

CNY
Updated: 2026-10-04T23:35:58.400+08:00

Input

~¥8.383/ 1M tokens

Output

~¥28.503/ 1M tokens

Cache read

~¥1.006/ 1M tokens

Relay Comparison

Compare token, per-request, or per-second pricing by relay channel.

How should Muse Spark 1.3 relay pricing be compared?

This Muse Spark 1.3 pricing page compares official pricing with public prices from 4 listed AI gateways. Token prices are shown in CNY per 1M tokens, while per-request, per-second, and per-character rows use the unit shown in the table. Last updated: 10/11/2026, 08:13.

Data sources
Public price catalogs, official pricing records, and monitoring results.
Metric definitions
Uptime means successful probe response rate, fake-rate signals possible model mismatch or abnormal output risk, and latency is average API response time.
Risk note
Relay gateways are third-party services. Pricing, billing, privacy, and stability can change; start with a small top-up and verify reliability before continued use.