# Meta

> The Muse model family on a new closed API, plus open-weight Muse Glimmer.

Canonical: https://www.subconscious.dev/providers/meta · By The Subconscious Team · Updated September 30, 2026

- Founded: 2004; Meta Superintelligence Labs formed in 2025
- Example models: Muse Spark 1.3, Muse Glimmer
- Website: https://www.llama.com

## Overview

Meta has moved from open Llama releases toward its own closed API. Meta Superintelligence Labs builds the Muse family, and in July 2026 Meta opened a public preview of the Meta Model API with Muse Spark 1.1, a multimodal reasoning model aimed at agentic coding, tool use and computer use. The current lineup runs through Muse Spark 1.3 with a 1M token context. Standard pricing is $1.25 in and $4.25 out per million tokens, with cached input at $0.15, and the endpoint speaks OpenAI Chat Completions, Anthropic Messages and a stateful agentic format.

Meta's most unusual move is a Contributor tier. Developers who let Meta train on their prompts and completions pay $0.10 in and $0.20 out, roughly a 95% discount, though rate limits drop from 3,000 to 100 requests per minute. The API also serves Muse Image at a flat $0.01 per image and Muse Voice Transcribe at $0.18 per hour of audio, with web search grounding at $2.50 per 1,000 queries. For self-hosting, Meta ships Muse Glimmer, an open-weight model distilled from Muse Spark that runs on vLLM, SGLang, llama.cpp or ExecuTorch.

## Upsides

- Competitive agentic model at mid-tier prices, with drop-in OpenAI and Anthropic compatibility.
- A near-free Contributor tier for prototyping and experiments where data sharing is acceptable.

## Core use cases

- Cost-sensitive coding agents and multimodal assistants.
- Cheap image generation and speech transcription on the same key.

## Downsides

- API is still in public preview with a short track record against OpenAI and Anthropic.
- The Contributor discount requires handing Meta your data, which rules it out for most business traffic.

## At a glance

| Attribute | Value |
|---|---|
| Model access | Closed API; open Muse Glimmer |
| Flagship models | Muse Spark 1.3, Muse Glimmer |
| Speed | ~145–233 tok/s on Muse Spark 1.3 |
| Price | $1.25 in, $4.25 out; Contributor tier cheaper |
| Customization | Open Muse Glimmer weights to fine-tune |
| Deployment | Meta Model API (preview) |
| Long context | 1M |

## FAQ

### What is Meta?

Meta has moved from open Llama releases toward its own closed API. Meta Superintelligence Labs builds the Muse family, and in July 2026 Meta opened a public preview of the Meta Model API with Muse Spark 1.1, a multimodal reasoning model aimed at agentic coding, tool use and computer use. The current lineup runs through Muse Spark 1.3 with a 1M token context. Standard pricing is $1.25 in and $4.25 out per million tokens, with cached input at $0.15, and the endpoint speaks OpenAI Chat Completions, Anthropic Messages and a stateful agentic format.

### What is Meta best for?

Cost-sensitive coding agents and multimodal assistants; Cheap image generation and speech transcription on the same key.

### How much does Meta cost?

Meta pricing at a glance: $1.25 in, $4.25 out; Contributor tier cheaper. Rates change often, so check Meta's pricing page before committing.

### How much context does Meta support?

Meta's long-context support: 1M.

### What are the downsides of Meta?

API is still in public preview with a short track record against OpenAI and Anthropic; The Contributor discount requires handing Meta your data, which rules it out for most business traffic.

### What are the best alternatives to Meta?

Common alternatives include Subconscious, OpenAI, Anthropic, Google Vertex AI, Amazon Bedrock. Each has a head-to-head comparison with Meta on this site.

## Comparisons

- [Subconscious vs Meta](https://www.subconscious.dev/compare/subconscious-vs-meta.md)
- [OpenAI vs Meta](https://www.subconscious.dev/compare/openai-vs-meta.md)
- [Anthropic vs Meta](https://www.subconscious.dev/compare/anthropic-vs-meta.md)
- [Google Vertex AI vs Meta](https://www.subconscious.dev/compare/google-vertex-vs-meta.md)
- [Amazon Bedrock vs Meta](https://www.subconscious.dev/compare/aws-bedrock-vs-meta.md)
- [Together AI vs Meta](https://www.subconscious.dev/compare/together-ai-vs-meta.md)
- [Fireworks AI vs Meta](https://www.subconscious.dev/compare/fireworks-vs-meta.md)
- [Baseten vs Meta](https://www.subconscious.dev/compare/baseten-vs-meta.md)
- [Groq vs Meta](https://www.subconscious.dev/compare/groq-vs-meta.md)
- [Cerebras vs Meta](https://www.subconscious.dev/compare/cerebras-vs-meta.md)
- [DeepInfra vs Meta](https://www.subconscious.dev/compare/deepinfra-vs-meta.md)
- [Modal vs Meta](https://www.subconscious.dev/compare/modal-vs-meta.md)
- [xAI vs Meta](https://www.subconscious.dev/compare/xai-vs-meta.md)
- [DeepSeek vs Meta](https://www.subconscious.dev/compare/deepseek-vs-meta.md)
- [Moonshot AI vs Meta](https://www.subconscious.dev/compare/moonshot-ai-vs-meta.md)
- [Z.ai vs Meta](https://www.subconscious.dev/compare/z-ai-vs-meta.md)
- [Alibaba Cloud vs Meta](https://www.subconscious.dev/compare/alibaba-cloud-vs-meta.md)
- [Meta vs SambaNova](https://www.subconscious.dev/compare/meta-vs-sambanova.md)
- [Meta vs Nebius](https://www.subconscious.dev/compare/meta-vs-nebius.md)
- [Meta vs fal](https://www.subconscious.dev/compare/meta-vs-fal.md)
- [Meta vs Novita AI](https://www.subconscious.dev/compare/meta-vs-novita-ai.md)
- [Meta vs Parasail](https://www.subconscious.dev/compare/meta-vs-parasail.md)
- [Meta vs Inference.net](https://www.subconscious.dev/compare/meta-vs-inference-net.md)
- [Meta vs GMI Cloud](https://www.subconscious.dev/compare/meta-vs-gmi-cloud.md)
- [Meta vs Sail Research](https://www.subconscious.dev/compare/meta-vs-sail-research.md)
- [Meta vs Morph](https://www.subconscious.dev/compare/meta-vs-morph.md)
- [Meta vs Relace](https://www.subconscious.dev/compare/meta-vs-relace.md)
- [Meta vs TypeSafe AI](https://www.subconscious.dev/compare/meta-vs-typesafe-ai.md)
- [Meta vs StepFun](https://www.subconscious.dev/compare/meta-vs-stepfun.md)
- [Meta vs Runware](https://www.subconscious.dev/compare/meta-vs-runware.md)
- [Meta vs StreamLake](https://www.subconscious.dev/compare/meta-vs-streamlake.md)
- [Meta vs Wafer](https://www.subconscious.dev/compare/meta-vs-wafer.md)
- [Meta vs RunInfra](https://www.subconscious.dev/compare/meta-vs-runinfra.md)
- [Meta vs Particle.AI](https://www.subconscious.dev/compare/meta-vs-particle-ai.md)

## Sources

- [Meta Model API pricing](https://ai.developer.meta.com/docs/pricing-rate-limits)
- [Introducing Muse Spark 1.1](https://ai.meta.com/blog/introducing-muse-spark-meta-model-api/)
- [Meta Model API overview](https://dev.meta.ai/docs/overview/)

Pricing and model lineups change often; figures are a snapshot.