1M
text, file, image, video
text
Supported
About this model
Muse Spark 1.3 is Meta's natively multimodal reasoning model optimized for long-horizon agentic workflows, advanced coding, tool use, computer interaction, and complex multi-step tasks. It is designed to sustain multiple workflows within long conversations, generate and manage context across conflicting sources, identify and correct gaps in its plans, and efficiently complete real-world engineering and knowledge-work tasks. Compared with Muse Spark 1.2, it improves coding and agentic performance while using fewer tool calls and fewer tokens.
Input modalities
text
Accepted as model input
file
Accepted as model input
image
Accepted as model input
video
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Input tokens
$1.250 / 1M tokens
Output tokens
$4.250 / 1M tokens
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $1.250 / 1M tokens |
| Output tokens | $4.250 / 1M tokens |
| Cached input tokens | $0.150 / 1M tokens |
Performance
Published evaluation results associated with this model.
Agent
Long Context
Coding
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
If your balance is too low, before calling the model.
- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl https://api.oneinfer.ai/v1/ula/chat/completions \ -H "Authorization: Bearer $JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "Unmapped", "messages": [ { "role": "user", "content": "Hello!" } ] }'