Meta
Muse Wonder 1.0
muse-wonder-1.0Scale planMuse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks.
- Context window
- 1M
- Max output
- 944K
- Input
- Text, Images, Video, Files, Audio
- Plan
- Scale
tokens
tokens per response
from $90/month
Capabilities
- Reasoning
- Image input
- File input
- Tool calling
- JSON output
Reasoning effort: low, medium, high, xhigh
API
- OpenAI Chat Completions
POST /v1/chat/completions
Supported parameters
- max_tokens
- reasoning
- reasoning_effort
- repetition_penalty
- response_format
- temperature
- tool_choice
- tools
- top_k
- top_p
Quickstart
Any OpenAI-compatible client works; point it at Piramyd and use your key. In a coding agent, run npx piramyd instead.
curl https://api.piramyd.cloud/v1/chat/completions \
-H "Authorization: Bearer $PIRAMYD_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "muse-wonder-1.0",
"messages": [
{
"role": "user",
"content": "Refactor this function to be pure: ..."
}
]
}'Also on Piramyd
Muse Spark 1.2
Meta
Growth+Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.
- Reasoning
- Image input
- File input
- Tool calling
- Context
- 1M
- Output
- 944K
- Input
- Text, Images, Video, Files
Muse Spark 1.2 Contributor
Meta
Growth+Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost.
- Reasoning
- Image input
- File input
- Tool calling
- Context
- 1M
- Output
- 944K
- Input
- Text, Images, Video, Files
Muse Spark 1.3 Contributor
Meta
ScaleMuse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows.
- Reasoning
- Image input
- File input
- Tool calling
- Context
- 1M
- Output
- 944K
- Input
- Text, Images, Video, Files
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