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MetaPricing

muse-spark-1.1

Pricing, announced 8 July 2026. Rerun the suite: Add the published input and output rates to your cost model, and note that the preview is limited to United States developers when you plan access.

What Meta says changed

Meta put muse-spark-1.1 in public preview on the Meta Model API for United States developers, priced pay as you go at $1.25 per million input tokens and $4.25 per million output tokens. Meta lists end to end agentic workflows, advanced coding and native multimodal perception as the areas of improvement.

Meta: Build with Muse Spark, now available on Meta Model API

announced 2026-07-08 . verified 2026-09-22

This section restates the provider. It adds no judgement the provider did not make, and it contains no measurement of ours.

Entry

Provider
Meta
Models
muse-spark-1.1
Change type
Pricing
Announced
2026-07-08
Verified
2026-09-22

What this kind of change typically touches

No impact note on this entry. A note is published only where a cited practitioner source supports it, and for this change we have none. The entry stands on the provider's announcement alone.

What to do this week

Rerun the suite

Add the published input and output rates to your cost model, and note that the preview is limited to United States developers when you plan access.

If you are on a plan

A tracked provider update triggers a rerun of your suite within 2 business days of the announcement, and you get a written verdict. That is one of the six guarantees on every plan.

See plansRead EV-RERUN

Other Meta changes

MetaNew version

muse-voice-transcribe-1.0

Meta made muse-voice-transcribe-1.0 available on the Meta Model API for streaming speech to text with speaker diarization. Meta lists the price as $3.00 per 1,000 minutes and offers a WebSocket streaming endpoint and an HTTP batch endpoint.

Rerun the suiteIf a transcription step feeds a downstream feature, run your existing audio fixtures through this model and compare the transcripts before switching any pipeline.

Source: Meta, Build with Muse Voice Transcribe on Meta Model API . verified 2026-09-22

MetaNew version

muse-image-1.0

Meta made muse-image-1.0 available to developers on the Meta Model API at $0.01 per image. Meta describes anchored composition for consistency across a series of images and reasoning driven edits.

Rerun the suiteIf image generation sits inside a product flow, run your standing prompt set against this model and keep the outputs as a baseline for the next version.

Source: Meta, Muse Image: generate, edit, and compose images on Meta Model API . verified 2026-09-22

MetaNew version

meta-models/Muse-Glimmer-30B

Meta released Muse-Glimmer-30B, a 30 billion parameter open weight model for local agent workloads, under the Apache 2.0 licence with a 128K token default context window. Meta lists quantized builds and support for vLLM, llama.cpp, ExecuTorch, Ollama and LM Studio.

Rerun the suiteIf you self host a Llama 4 model, run your current suite against Muse-Glimmer-30B on the same hardware and record both quality and throughput before planning a move.

Source: Meta, Muse Glimmer: an open-weight model built for local agents . verified 2026-09-22

Questions

How do I know this is accurate?
The entry links to Meta's own page, and the date we read it is on this page. If the provider's page and this page disagree, the provider's page is right and we want to hear about it.
Does this mean my feature broke?
No. It means a thing your feature depends on changed. Whether anything about your output changed is a question only a rerun against your own dataset can answer, and that is what the recommended action is for.
Why is there no score or benchmark here?
Because we publish none. This site restates provider announcements and cites published practitioner guides. Any measurement we make belongs to the customer whose dataset produced it.

Sources

Change-log entries restate provider announcements with sources and dates. Impact notes cite public practitioner reports. The site publishes no measurements of its own on any model.

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