Muse Code
BetaEl agente de programación con IA basado en terminal de Meta con agentes asíncronos persistentes en segundo plano
El primer agente de programación de Meta y una entrada beta creíble con arquitectura genuinamente novedosa — agentes persistentes en segundo plano, despliegue de subagentes aislados por worktree y un registro de eventos resistente a fallos. Impulsado por el modelo Muse Spark 1.2 co-entrenado, queda segundo solo por detrás de Claude Opus 5 en los propios benchmarks publicados por Meta. Las cifras reportadas por el proveedor, el estado beta y la distribución binaria de código cerrado moderan la promesa. Ideal para desarrolladores que evalúan agentes de programación y quieren probar arquitectura de contexto persistente y precios agresivos del plan contributor.
Agent loop + persistent background agents hold full coding-session context — the model reads, acts, and continues across steps without context reset.
¿Es adecuada para ti?
Bueno para
- Persistent multi-step coding sessions: background agents retain repo context across tasks, avoiding redundant exploration and reducing steering
- Long-horizon autonomous tasks: event-log crash recovery enables 24-hour runs, and the agent resumes precisely where it stopped with no lost work
- Parallel feature work: worktree-isolated sub-agents build multiple features simultaneously without collisions (Meta demoed six game features in parallel)
- Cost-sensitive experimentation: contributor tier at ~$0.10 input / $0.20 output per 1M tokens undercuts every comparable coding agent
- Multimodal repo work: accepts video fly-throughs and images as coding context, which no incumbent terminal agent ships as a first-class flow
No recomendado para
- Production workflows requiring independently verified benchmarks: all published results are vendor-run in Meta's framework with no third-party reproduction
- Windows parity: the Windows build lacks voice input and session messaging and uses PowerShell instead of Bash
- Open-source or self-hosted pipelines: closed-source binary installed via shell script, no public repository, API-dependent, no weight access
- Teams with strict data governance: contributor tier sends prompts and completions to Meta's training pipeline, and opting out costs 12.5x more on input
Nuestra experiencia
Precios
De pago- No training on your data: prompts and completions are not used to train Meta models
- 3,000 requests per minute / 4M tokens per minute per team
- 1M token context window
- Web search grounding: $2.50 per 1,000 queries
- Cached input: $0.15 / 1M tokens
- Same prices on Muse Spark 1.2 and 1.3
- Prompts and completions used to train future Meta models
- 150 requests per minute / 3M tokens per minute per team
- 12.5x cheaper on input, 21.25x cheaper on output vs standard tier
- Cached input: $0.002 / 1M tokens
- Aimed at prototyping and experimentation where training on your data is acceptable
Aún no hay cambios de veredicto
El reloj corre desde el primer día: los cambios aparecerán aquí a medida que evolucione nuestro veredicto.
Fuentes
- The Register — Meta wants to get inside your terminal with its new coding agentago 2026
- Meta AI Research Blog — Muse Code and Muse Spark 1.2 announcement (official)ago 2026
- Engadget — Meta introduces Muse Code, its take on a coding agentago 2026
- Meta — Muse Code product page (official)ago 2026
- Meta Muse Code documentationoct 2026
- MarkTechPost — Meta AI Releases Muse Code (Beta)ago 2026
- VentureBeat: Meta enters AI coding warsago 2026
- Meta Model API docs: pricing and rate limitsnov 2026
- Vorp Labs — Muse Spark 1.2 release reviewago 2026
- explainx.ai — Muse Code Betaago 2026
- TechCrunch: Meta launches Muse Codeago 2026
Registro de verificación
- Contenido· Actualizado
Agente automatizado
Docs now say Muse Code runs on macOS, Linux and Windows from one codebase (stored: macOS and Linux only, no Windows build). Windows notes: PowerShell instead of Bash, UAC prompts during sandbox setup, no voice input or session messaging. Default model muse-spark-1.2, with 1.3 also available. Pricing page (dev.meta.ai/docs/pricing-rate-limits): Standard unchanged ($1.25/$4.25, cached $0.15, 3,000 RPM, 4M TPM); Contributor rate limit now 150 RPM (stored 100), 3M TPM, prices unchanged. Docs no longer use the word beta, but status left as beta pending an explicit statement. Description, strengths (dashes removed), audiences and tiers refreshed.
- Precios· Sin cambios
Agente automatizado
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