Muse Spark 1.3 Contributor
Provider：Meta
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...
Key specs
- Context：1M
- Max output：943.7K
- Tokenizer：Other
- Released：2026-09-02
Token pricing
- Input price：$0.100 / 1M tokens
- Output price：$0.200 / 1M tokens
- Cache read：$0.0020 / 1M tokens
- Blended price：$0.125 / 1M tokens
Modalities
Text, Image, Video, File, Audio
Use Cases
- Deep Reasoning & Analysis：Process long legal docs, academic papers, financial reports; multi-hop reasoning and evidence-chain tracing across huge contexts.（≈ $0.0016/call）
- Vision Understanding & Generation：Recognize data trends in charts, OCR scanned docs, analyze photos and produce structured reports.（≈ $0.0012/call）
- Voice Interaction：Speech recognition & transcription, mixed CN/EN and dialect support — meeting notes, QA.
- Content Moderation：Auto-detect violations, hate speech, NSFW content; custom rule sets and score thresholds.（≈ $0.0004/item）
When to pick this model
Signals derived from public pricing and spec fields — not a benchmark. Validate with official docs and your own eval.
- Low input + output price: solid fit for high-frequency calls and batch processing.
- Low blended price: budget-friendly for fleet-scale deployment.
- Long context (>=1M tokens): well-suited for long-doc QA, code-base analysis, multi-turn agents.
- Long max output (>=30K tokens): strong fit for deep report / essay / document-drafting workflows.
- Multimodal (text+image): fit for image captioning, OCR, chart QA, vision-grounded reasoning.
- Audio support: fit for speech-to-text / voice agent / transcript analysis.
- Video input support: fit for video understanding, frame QA, content moderation.
- File / PDF input support: fit for document parsing, contract review, RAG over private data.
FAQ
- What is the token pricing of Muse Spark 1.3 Contributor? Input price $0.100 / 1M tokens, output price $0.200 / 1M tokens, blended about $0.125 / 1M tokens. Refer to Meta’s official page for the exact rate.
- What context window does Muse Spark 1.3 Contributor support? Context window is 1M, max output about 943.7K, suitable for long documents, multi-turn chat and complex reasoning.
- What scenarios is Muse Spark 1.3 Contributor best for? Based on its capability and pricing, Muse Spark 1.3 Contributor fits best: Deep Reasoning & Analysis, Vision Understanding & Generation, Voice Interaction. See the Use Cases section for details and cost estimates.
- What input/output modalities does Muse Spark 1.3 Contributor support? Supports Text, Image, Video, File, Audio modality.
- Is Muse Spark 1.3 Contributor a free model? Muse Spark 1.3 Contributor is billed per token, not a free model.
- Which provider offers Muse Spark 1.3 Contributor? Muse Spark 1.3 Contributor is offered by Meta.
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