Parameters
Undisclosed
Context Length
1.05M
Modality
Multimodal
Architecture
Undisclosed
License
Proprietary
Release Date
5 Aug 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Input: $1.25 · Output: $4.25
Rank
#22
| Benchmark | Score | Rank |
|---|---|---|
General Text | max 1499 | 5 |
Reasoning | max 0.90 | 7 |
General | max 0.78 | 12 |
LiveBench Average | max 0.78 | 12 |
Agentic Coding | max 0.58 | 14 |
Mathematics | max 0.91 | 18 |
Intelligence Index | max 0.47 | 19 |
Data Analysis | max 0.76 | 20 |
Coding | max 0.78 | 24 |
Agentic Index | max 0.44 | 24 |
Coding Index | max 0.72 | 28 |
Web Development | max 1534 | 30 |
Agent Arena | max 0.85 | 30 |
Overall Rank
#22
Coding Rank
#35
Muse Spark 1.2 is a frontier multimodal reasoning model developed by Meta for complex agentic workflows and multi-step problem solving. It accepts text, images, video, audio, and documents across a 1M token context window.
Architecture specifications are undisclosed for proprietary models.
Meta's Llama 4 model family implements a Mixture-of-Experts (MoE) architecture for efficient scaling. It features native multimodality through early fusion of text, images, and video. This iteration also supports significantly extended context lengths, with models capable of processing up to 10 million tokens.
APX AI
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