Muse Spark 1.3 Contributor
MetaReleased Sep 2, 2026
- providers
- 1
- context
- 1.0M
- max out
- 131K
- input /M
- $0.10
- output /M
- $0.20
- cached input /M
- $0.002
- cache write /M
- $0.10
- reasoning /M
- $0.20
About
Drafted from the provider's own page.
Every version is offered on the Standard tier (standard pricing; your data is never used for training). Versions 1.3 and 1.2 also offer a discounted Contributor variant (muse-spark-1.3-contributor, muse-spark-1.2-contributor) that trades a lower price for permission to train on your prompts and completions — room to prototype and scale experiments where that's acceptable.
- open weights
- no
- best for
- extractioncodingcompute
Capabilities
What the model accepts and returns, where a probe through our own gateway proved it.
- streaming
- tools
- json mode
- vision
- audio
Providers
What you pay through us for each provider, and its own list price where that differs.
Meta
meta/muse-spark-1.3-contributor- input /M
- $0.10
- output /M
- $0.20
- cache read /M
- $0.002
- cache write /M
- $0.10
Cache read $0.002/M · Cache write $0.10/M
cache read list price /M$0.002
Speed
- fastest over 24 hours
- 1.2k t/s
Fastest: Meta
- Meta11,638 ms to first token1.2k t/smedian of 23
Served
- served in the last 24 hours
- 29.73%
Across 1 provider, 11 of 37 requests
- Meta29.73% · 11 of 37
Rebuilt once a day from the requests we sent, so it is a daily figure and not a live one.
Not yet. These figures come from Artificial Analysis, which the publish pipeline reads once a day.
Integrations
What the model holds, rather than a compatibility grade: nothing here measures how well a particular tool gets on with it, so nothing here scores one.
- answers on
- chat completions
- accepts
- textimagevideopdfaudio
- returns
- text
Use this model
Works with the OpenAI SDK. Point it at our base URL and use this id.
curl https://api.hopscotchlabs.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta/muse-spark-1.3-contributor",
"messages": [{"role": "user", "content": "Hello"}],
"max_tokens": 256
}'