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Meta: Muse Spark 1.1
Metatext9.1 / 10 Overall Rating
Meta's Muse Spark 1.1 is a 1M-token context multimodal reasoning model engineered for agentic workflows across text, image, audio, and video inputs. At $1.25/1M input and $4.25/1M output tokens, it significantly undercuts GPT-4o and Claude 3.5 Sonnet on cost while providing a 943K max output token limit. It is targeted at heavy context ingestion, video/audio processing, and agent orchestration.
Context Window
1049K
Knowledge Cutoff
2025
Max Output
16K
License
Open Weights
Where it Excels (Pros)
- 1M token context window
- 943K max output limit
- Cheaper than GPT-4o and Sonnet
Limitations (Cons)
- Text only output generation
- Unproven coding capabilities vs Sonnet
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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