Meta Superintelligence Labs' flagship model — visual coding, multi-agent coordination & multimodal reasoning. Compare features, benchmarks & pricing.
Last updated: April 18, 2026
Muse Spark is the first major AI model from Meta Superintelligence Labs, Meta's new research division led by Alexandr Wang. Released in April 2026, it represents Meta's most ambitious push into frontier AI — a multimodal model that excels at visual coding (generating entire websites and mini-games from prompts), multi-agent coordination, and advanced reasoning.
Generate complete websites, mini-games, and interactive apps directly from natural language prompts. Produces clean, deployable code with UI.
Orchestrate multiple specialized AI agents working together on complex tasks — research, code, design, and testing in parallel.
Chain-of-thought reasoning with verification steps. Excels at math, logic puzzles, and multi-step problem solving.
Powers Meta AI across Facebook, Instagram, WhatsApp, Messenger, and Ray-Ban Meta smart glasses. Available everywhere in Meta's ecosystem.
Understands and generates text, images, code, and video. Native image editing, style transfer, and visual Q&A capabilities.
Optimized inference with reduced latency. Handles real-time conversations across billions of daily Meta platform interactions.
| Developer | Meta Superintelligence Labs (Meta) |
| Lab Lead | Alexandr Wang |
| Release | April 2026 |
| Architecture | Multimodal Transformer (MoE) |
| Context Window | 256K tokens |
| Modalities | Text, Image, Code, Video |
| Platforms | Meta AI, Facebook, Instagram, WhatsApp, Messenger, Ray-Ban |
| API Access | Meta Developer Platform |
| License | Proprietary (consumer free, API paid) |
Compare Muse Spark against leading frontier models. Scores from public benchmarks and evaluations, April 2026.
| Benchmark | Muse Spark | Claude Opus 4.7 | GPT-5 | Gemini 2.5 |
|---|---|---|---|---|
| MMLU (knowledge) | 93.1% | 91.5% | 92.8% | 90.2% |
| HumanEval (code) | 94.5% | 96.1% | 93.2% | 91.8% |
| SWE-bench (software eng) | 70.3% | 74.2% | 68.5% | 65.1% |
| MATH (mathematics) | 91.2% | 89.4% | 92.1% | 90.6% |
| Visual Coding (new) | 96.8% | 88.3% | 90.1% | 85.4% |
| Multi-Agent (MABench) | 94.2% | 89.7% | 87.3% | 86.1% |
| GPQA (graduate reasoning) | 72.5% | 75.1% | 73.8% | 71.2% |
| Arena ELO | 1385 | 1402 | 1395 | 1368 |
Select models to compare side-by-side. Click models below to toggle.
Estimate your monthly API costs for Muse Spark and compare with alternatives.
| Model | Input ($/1M tokens) | Output ($/1M tokens) | Context |
|---|---|---|---|
| Muse Spark | $12.00 | $60.00 | 256K |
| Claude Opus 4.7 | $15.00 | $75.00 | 200K |
| GPT-5 | $15.00 | $60.00 | 128K |
| Gemini 2.5 Pro | $7.00 | $21.00 | 1M |
| Llama 4 Maverick | $2.00 | $6.00 | 1M |
| GLM-5.1 | $1.50 | $4.50 | 128K |
Muse Spark's standout feature: describe what you want, and it generates complete, deployable websites and mini-games. Unlike traditional code generation, it understands layout, color theory, interactions, and produces polished output with proper responsive design.
Muse Spark can coordinate multiple specialized agents working in parallel. For example: one agent researches, another writes code, a third designs the UI, and a fourth tests — all orchestrated by Muse Spark.
Free web-based access. Full capabilities including visual coding, image generation, and research.
Conversational AI with image understanding. Send photos for analysis, get creative content generated.
Content creation assistant. Generate captions, edit images, create stories, and get recommendations.
Real-time visual AI assistant. Ask about what you see, get directions, translate text, identify objects.