Muse Spark

Extracted Attributes

• Developer

  Meta (Meta Superintelligence Labs)

• Model Type

  Multimodal Reasoning Large Language Model

• Free Credits

  $20 for new developer accounts

• Context Window

  1,000,000 tokens (Wikipedia) / 260,000 tokens (Artificial Analysis)

• Pricing (Input)

  $1.25 per million tokens

• Reasoning Modes

  Instant, Thinking, Contemplating

• Input Modalities

  Text, Image, Speech

• Pricing (Output)

  $4.25 per million tokens

• Internal Codename

  Avocado

• Output Modalities

  Text

Timeline

• Meta Superintelligence Labs announces Muse Spark, its first proprietary frontier reasoning model, natively supporting multimodal inputs and multi-agent orchestration. (Source: Web Search)

  2026-04-08

• Meta officially launches Muse Spark 1.1, featuring a 1-million-token context window and pricing of $1.25 per million input tokens and $4.25 per million output tokens. (Source: Wikipedia)

  2026-07-09

Muse Spark

Muse Spark is a large language model (LLM) developed by Meta through its Meta Superintelligence Labs (MSL). It was introduced in April 2026 and launched as Muse Spark 1.1 on July 9, 2026. It is the first model in Meta's Muse family and is designed for multimodal reasoning, coding, and AI-assisted software development. It also powers Meta AI across Meta's products and services. Muse Spark is going to charge $1.25 per million input tokens and $4.25 per million output tokens, new developer accounts receive $20 in free credits, it can also handle a million tokens of context.

Web Search Results

• What Is Muse Spark? Meta's New AI Model Explained - Verdent Guides

  ## What Is Muse Spark? What Is Muse Spark? Muse Spark is Meta's first proprietary frontier reasoning model, announced in Meta's official blog post. Its internal codename was "Avocado." It's natively multimodal — text, image, and speech input — with tool-use, visual chain-of-thought reasoning, and multi-agent orchestration built in. Meta describes it as "small and fast by design, yet capable enough to reason through complex questions in science, math, and health." It now powers the Meta AI assistant across the Meta AI app and meta.ai, with a rollout to WhatsApp, Facebook, Instagram, Messenger, and Meta's Ray-Ban AI glasses coming in the following weeks. [...] The headline number: Muse Spark scores 52 on the Artificial Analysis Intelligence Index, placing it fourth among models benchmarked — behind Claude Opus 4.6, GPT-5.4, and Gemini 3.1 Pro Preview, but ahead of Claude Sonnet 4.6. For comparison, Llama 4 Maverick scored 18 on the same index at launch. That's a substantial jump in a single release cycle. The model has three reasoning modes: Instant: Fast, conversational — the default for most interactions Thinking: Extended step-by-step reasoning for complex problems Contemplating: Multiple agents reasoning in parallel, designed to compete with Gemini Deep Think and GPT-5.4 Pro on demanding scientific tasks

• AI at Meta - Introducing Muse Spark, the first in the Muse...

  ## AI at Meta's Post ### AI at Meta April 8 · Introducing Muse Spark, the first in the Muse family of models developed by Meta Superintelligence Labs. Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration. It is the first step on our scaling ladder and the first product of a ground-up overhaul of our AI efforts. Muse Spark offers competitive performance in multimodal perception, reasoning, health, and agentic tasks. With larger models in development, these results demonstrate that our stack is scaling effectively. A few highlights: [...] Muse Spark is available today at meta.ai and the Meta AI app. We’re also making it available in private preview via API to select partners, and we hope to open-source future versions of the model. Learn more: No photo description available. [...] A few highlights: 1️⃣ Contemplating Mode: This orchestrates multiple agents to reason in parallel, achieving 58% on Humanity's Last Exam and 38% on Frontier Science Research. This allows Muse Spark to compete with the extreme reasoning modes of frontier models such as Gemini Deep Think and GPT Pro. Contemplating Mode will roll out gradually in meta.ai. 2️⃣ Multimodal: Built from the ground up to integrate visual information across domains and tools. It achieves strong performance on visual STEM questions, entity recognition, and localization, enabling interactive experiences like creating fun minigames or troubleshooting your home appliances with dynamic annotations.

• Introducing Muse Spark: Scaling Towards Personal ...

  Applications Muse Spark is the first step toward a personal superintelligence that understands your world. From analyzing your immediate environment to supporting your wellness, the advanced reasoning capabilities of Muse Spark enable powerful, highly personal use cases. Multimodal. Muse Spark is built from the ground up to integrate visual information across domains and tools. It achieves strong performance on visual STEM questions, entity recognition, and localization. These capabilities come together to enable interactive experiences like creating fun minigames or troubleshooting your home appliances with dynamic annotations. [...] Meta - Products - AI Research - Resources - About - Try Meta AI # Introducing Muse Spark: Scaling Towards Personal Superintelligence April 8, 2026• 15 minute read Today, we’re excited to introduce Muse Spark, the first in the Muse family of models developed by Meta Superintelligence Labs. Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration. Muse Spark is the first step on our scaling ladder and the first product of a ground-up overhaul of our AI efforts. To support further scaling, we are making strategic investments across the entire stack — from research and model training to infrastructure, including the Hyperion data center. [...] In this post, we'll first explore Muse Spark's new capabilities and applications. After these results, we’ll look behind the curtain at the scaling axes driving our progress toward personal superintelligence. Muse Spark is available today at meta.ai and the Meta AI app. We’re opening a private API preview to select users. Capabilities for Personal Superintelligence Muse Spark offers competitive performance in multimodal perception, reasoning, health, and agentic tasks. We continue to invest in areas with current performance gaps, such as long-horizon agentic systems and coding workflows. With larger models in development, these results demonstrate that our stack is scaling effectively.

• Muse Spark: Features, Benchmarks, and How to Use It

  ## What Is Muse Spark? Muse Spark is a natively multimodal reasoning model that handles text, images, audio, and tool use in a single architecture. It supports visual chain-of-thought, meaning the model can work through image-based problems step-by-step rather than just producing a single answer. Multi-agent orchestration is also part of the setup, which we will get to. Earlier Llama models returned answers based on pattern matching from training. Muse Spark works through problems before responding. That is the actual shift. ### Who is behind it?

• Muse Spark - Intelligence, Performance & Price Analysis

  2 out of 4 units for Verbosity. Muse Spark is amongst the leading models in intelligence and well priced when comparing to other models of similar price. The model supports text, image, and speech input, outputs text, and has a 262k tokens context window. Muse Sparkscores 43on the Artificial Analysis Intelligence Index, placing it well above averageamong comparable models (averaging 14).When evaluating the Intelligence Index, it generated 57Mtokens, which is fairly concisein comparison to the average of 58M. Pricing for Muse Sparkis $0.00per 1M input tokens (competitively priced, average:$0.20) and $0.00per 1M output tokens (competitively priced, average:$0.60). [...] When evaluated on the Intelligence Index, Muse Spark generated 57M output tokens, which is better than average compared to other reasoning models in a similar price tier (median: 58M). Yes, Muse Spark is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer. Muse Spark supports text, image, and speech input. Muse Spark supports text output. Yes, Muse Spark supports image input and can analyze, describe, and answer questions about images. Yes, Muse Spark is multimodal. It can process text, image, and speech input and generate text output. Muse Spark has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.

• Instance Of

  Q7397