New version, announced 3 September 2026. Rerun the suite: If a transcription step feeds a downstream feature, run your existing audio fixtures through this model and compare the transcripts before switching any pipeline.
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.
Meta: Build with Muse Voice Transcribe on Meta Model API
announced 2026-09-03 . 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
A transcription step feeds the summariser its input, so the text being summarised changes even though the summarising model did not. Galtea warns against updating ground truth to match model behaviour when the outputs shift.
If fields are pulled out of a transcript, a new transcription model changes the input to every fixture. Braintrust tracks every change to a dataset so experiments can pin to specific versions, which is what keeps a before and after run comparable.
If a transcription step feeds a downstream feature, run your existing audio fixtures through this model and compare the transcripts before switching any pipeline.
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.
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.
Source: Meta, Muse Image: generate, edit, and compose images on Meta Model API . verified 2026-09-22
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.
Source: Meta, Muse Glimmer: an open-weight model built for local agents . verified 2026-09-22
Meta released muse-spark-1.2 with a 1M token context window, priced at $1.25 per million input tokens, $0.15 per million cached input tokens and $4.25 per million output tokens. Meta states the model was co-trained with its harness and trained on whole repository generation and other long running tasks.
Source: Meta, Meet Muse Spark 1.2 and Muse Code: a coding model and the agent built to run it . verified 2026-09-22
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.