Price range ¥2.43 / 1M tokens
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| default | Token | ¥2.43 | ¥8.26 | ¥0.288 | ¥0.009 |
Muse Spark 1.3
muse-spark-1.3Meta 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
Relays6 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: UnknownTemperature: Supported
Meta Official Pricing
CNYUpdated: 2026-10-04T23:35:58.400+08:00
Input
~¥8.355/ 1M tokens
Output
~¥28.407/ 1M tokens
Cache read
~¥1.003/ 1M tokens
Relay Comparison
Compare token, per-request, or per-second pricing by relay channel.
Unit: token prices are ¥ / 1M tokens; per-request and per-second rows use their shown unit
Price range ¥3.75 / 1M tokens
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| muse-officially | Token | ¥3.75 | ¥12.75 | ¥0.45 | - |
Price range ¥0.15 / 1M tokens
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| opencode | Token | ¥0.15 | ¥0.3 | ¥0.003 | ¥0 |
Price range ¥0.544 - ¥6.8 / 1M tokens
Meta
BillingToken
Input¥0.544
Output¥1.09
Cache hit¥0.0109
Cache write-
Meta
BillingToken
Input¥6.8
Output¥23.12
Cache hit¥0.816
Cache write-
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| Meta | Token | ¥0.544 | ¥1.09 | ¥0.0109 | - |
| Meta | Token | ¥6.8 | ¥23.12 | ¥0.816 | - |
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| marketplace | Token | ¥0.64 | ¥2.18 | ¥0.0768 | - |
meta-official-cheap
BillingToken
Input¥0.42
Output¥0.84
Cache hit¥0.0084
Cache write-
meta
BillingToken
Input¥0.7
Output¥1.4
Cache hit¥0.014
Cache write-
meta-official-cheap
BillingToken
Input¥5.25
Output¥17.85
Cache hit¥0.63
Cache write-
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| meta-official-cheap | Token | ¥0.42 | ¥0.84 | ¥0.0084 | - |
| meta | Token | ¥0.7 | ¥1.4 | ¥0.014 | - |
| meta-official-cheap | Token | ¥5.25 | ¥17.85 | ¥0.63 | - |
How should Muse Spark 1.3 relay pricing be compared?
This Muse Spark 1.3 pricing page compares official pricing with public prices from 6 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: 11/05/2026, 08:14.
- 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.