Meta: Muse Spark 1.3 Contributor
muse-spark-1.3-contributor
Meta's Muse Spark 1.3 Contributor is a frontier multimodal reasoning model for long-horizon coding and agentic workflows, with strong gains in computer use, browsing, professional tool use, codebase understanding, and million-token retrieval. It accepts text, images, audio, video, and files, supports tool calling and structured output, and always reasons before answering. Prompts and outputs may be used by Meta for training and to improve its products.
Modalities
Text + Image + Video + Audio → Text
Input / output price
$0.130 / $0.260 per 1M
Context
1.05M
Capabilities
Pricing
Billed per token actually used and deducted from your credits.
| Item | USD per 1M tokens |
|---|---|
| Input | $0.130 |
| Output | $0.260 |
| Cached input | $0.0026 |
Calculator
Drag the sliders to estimate what this model will cost.
- Per request
- $0.00060
- Per day
- $0.2990
- Per month (30 days)
- $8.97
Muse Spark 1.3 Contributor: input $0.13/M · output $0.26/M · cached input $0.0026/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "muse-spark-1.3-contributor", "max_tokens": 800,
"messages": [{"role": "user", "content": "…"}]}'Code samples
OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to muse-spark-1.3-contributor.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "muse-spark-1.3-contributor",
"stream": true,
"messages": [{"role": "user", "content": "Hello"}]
}'Use it in a client: Cursor · Cline · SillyTavern · Codex
Parameters
Common OpenAI parameters can be passed as-is.
temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseedFAQ
- How is Muse Spark 1.3 Contributor billed?
- Input is $0.130 and output is $0.260 per million tokens; cached input is $0.0026. The charge for every request is listed in Usage Logs in the console.
- How long is the context window?
- 1.05M tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
- Does it support streaming?
- Yes. Add
"stream": trueto the request to receive server-sent events in the OpenAI format.