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Meta: Muse Spark 1.2
Metatext9.1 / 10 Overall Rating
Meta's Muse Spark 1.2 is a reasoning model optimized for complex agentic workflows and long-context processing. It supports multimodal inputs—including text, audio, video, and documents—across a 1-million-token context window at a fraction of GPT-4o's API cost.
Context Window
1049K
Knowledge Cutoff
2025
Max Output
16K
License
Open Weights
Where it Excels (Pros)
- 1M token context window
- Cheaper than GPT-4o and Sonnet
- Native audio video PDF support
- High max output token capacity
Limitations (Cons)
- Output restricted to text
- Slower reasoning speeds on complex tasks
Benchmark Breakdown
Reasoning (MMLU)82%
Coding (HumanEval)78%
Mathematics (MATH)76%
Long-Context Retrieval95%
Pricing Matrix
Input cost / 1M tokens$1.25
Output cost / 1M tokens$4.25
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