Meta: Muse Spark 1.3 Contributor✓ Catalog verified
Muse 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. It is designed to track information...
Overview
Muse 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. It is designed to track information...
Access: available through the official Meta API. Context window: 1.0M.
Specifications
| API identifier | meta/muse-spark-1.3-contributor |
| Provider | Meta |
| Model type | Multimodal LLM |
| Context window | 1.0M catalog |
| Input modalities | text · image · video · file · audio |
| Output modalities | text |
| Released | Sep 2, 2026 |
| Moderated | Yes |
| Architecture modality | text+image+file+audio+video->text |
Pricing
Live pricing components for meta/muse-spark-1.3-contributor as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $1e-7 | $0.10 / 1M | Per input token |
| Completion tokens | $2e-7 | $0.20 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | $0.0025 | $0.002500 | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.09Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | Image and document analysis support |
| Audio Processing | ✓ Supported | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Meta: Muse Spark 1.3 Contributor through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="meta/muse-spark-1.3-contributor",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| DeepSeek: DeepSeek V4 Flash 0423 | DeepSeek | 1.0M | $0.09 | View → |
| DeepSeek: DeepSeek V4 Flash 0731 (batch) | DeepSeek | 1.0M | $0.14 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Meta: Muse Spark 1.3 Contributor cost?
$0.10 per 1M input tokens and $0.20 per 1M output tokens on the official Meta API.
What is the context window of Meta: Muse Spark 1.3 Contributor?
Meta: Muse Spark 1.3 Contributor supports up to 1.0M tokens of context.
Does Meta: Muse Spark 1.3 Contributor support tool / function calling?
Yes, Meta: Muse Spark 1.3 Contributor supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Meta: Muse Spark 1.3 Contributor?
Use the official Meta API with the model id `meta/muse-spark-1.3-contributor`. See the Quick start section above for code examples.