Muse Glimmer 30B vs MAI Transcribe 2

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$0.30Deepinfra · Sep 21, 2026Not reported
Output priceFrom · USD / 1M tokens$1.20Deepinfra · Sep 21, 2026Not reported
Context windowMaximum documented tokens131KNot reported
Model facts checkedSep 3, 2026View model evidence →Sep 3, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldMuse Glimmer 30BMAI-Transcribe 2
DeveloperMetaMicrosoft
FamilyMuse GlimmerMai Transcribe
ModelMuse Glimmer 30BMAI-Transcribe 2
VersionMuse Glimmer 30BMAI-Transcribe 2
Lifecycleactivepreview
Released2026-08-092026-09-03
Knowledge cutoff2026-01-04Unknown
Input modalitiesText, ImageAudio
Output modalitiesTextText
Context window131KUnknown
Total parameters29.8BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesUnknown
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard)Microsoft Foundry (Public preview)
Capabilitieschat, generation, reasoning, structured_outputs, toolsdiarization, multilingual, speaker-attribution, transcription, word-level-timestamps

Muse Glimmer 30B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers3
Canonical IDmeta-models/Muse-Glimmer-30B

MAI Transcribe 2 Capabilities

diarizationmultilingualspeaker-attributiontranscriptionword-level-timestamps
Serving providers1
Canonical IDmicrosoft/mai-transcribe

Primary Evidence

Sources and Freshness

Questions

Muse Glimmer 30B vs MAI Transcribe 2 FAQs

Is Muse Glimmer 30B or MAI Transcribe 2 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Muse Glimmer 30B and MAI Transcribe 2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Muse Glimmer 30B or MAI Transcribe 2?+

Only Muse Glimmer 30B has a directly sourced input price: $0.30 per million tokens. Only Muse Glimmer 30B has a directly sourced output price: $1.20 per million tokens.

Which has a larger context window, Muse Glimmer 30B or MAI Transcribe 2?+

Neither model has a larger sourced context window in this comparison. Muse Glimmer 30B is 131K and MAI Transcribe 2 is —.

Which performs better in benchmarks, Muse Glimmer 30B or MAI Transcribe 2?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Muse Glimmer 30B or MAI Transcribe 2 be self-hosted?+

Muse Glimmer 30B is the only model in this pair currently marked as self-hostable. Muse Glimmer 30B is open weight; MAI Transcribe 2 is not marked open weight.

Can Muse Glimmer 30B and MAI Transcribe 2 understand images?+

Muse Glimmer 30B is documented with image input; MAI Transcribe 2 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Muse Glimmer 30B or MAI Transcribe 2?+

Neither has a larger sourced maximum output. Muse Glimmer 30B is — and MAI Transcribe 2 is —.

Do Muse Glimmer 30B and MAI Transcribe 2 support reasoning and tool use?+

Muse Glimmer 30B: reasoning, tool calling, and image input. MAI Transcribe 2: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Muse Glimmer 30B or MAI Transcribe 2?+

Muse Glimmer 30B has 3 sourced provider routes; MAI Transcribe 2 has 1, so Muse Glimmer 30B has broader tracked availability.

Which offers better value, Muse Glimmer 30B or MAI Transcribe 2?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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