Gemma 4 31B vs MAI Transcribe 2

At a Glance

Compare
Gemma 4 31BGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.090Openrouter · Sep 22, 2026Not reported
Output priceFrom · USD / 1M tokens$0.34Openrouter · Sep 22, 2026Not reported
Context windowMaximum documented tokens262KNot 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

FieldGemma 4 31BMAI-Transcribe 2
DeveloperGoogle DeepMindMicrosoft
FamilyGemma 4Mai Transcribe
ModelGemma 4 31BMAI-Transcribe 2
VersionGemma 4 31BMAI-Transcribe 2
Lifecycleactivepreview
Released2026-03-112026-09-03
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageAudio
Output modalitiesTextText
Context window262KUnknown
Total parameters31BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesUnknown
Provider accessCerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard)Microsoft Foundry (Public preview)
Capabilitieschat, generation, reasoning, structured_outputs, toolsdiarization, multilingual, speaker-attribution, transcription, word-level-timestamps

Gemma 4 31B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers5
Canonical IDgoogle/gemma-4-31B-it

MAI Transcribe 2 Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Gemma 4 31B vs MAI Transcribe 2 FAQs

Is Gemma 4 31B or MAI Transcribe 2 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 31B and MAI Transcribe 2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 31B or MAI Transcribe 2?+

Only Gemma 4 31B has a directly sourced input price: $0.090 per million tokens. Only Gemma 4 31B has a directly sourced output price: $0.34 per million tokens.

Which has a larger context window, Gemma 4 31B or MAI Transcribe 2?+

Neither model has a larger sourced context window in this comparison. Gemma 4 31B is 262K and MAI Transcribe 2 is —.

Which performs better in benchmarks, Gemma 4 31B 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 Gemma 4 31B or MAI Transcribe 2 be self-hosted?+

Gemma 4 31B is the only model in this pair currently marked as self-hostable. Gemma 4 31B is open weight; MAI Transcribe 2 is not marked open weight.

Can Gemma 4 31B and MAI Transcribe 2 understand images?+

Gemma 4 31B 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, Gemma 4 31B or MAI Transcribe 2?+

Neither has a larger sourced maximum output. Gemma 4 31B is — and MAI Transcribe 2 is —.

Do Gemma 4 31B and MAI Transcribe 2 support reasoning and tool use?+

Gemma 4 31B: 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, Gemma 4 31B or MAI Transcribe 2?+

Gemma 4 31B has 5 sourced provider routes; MAI Transcribe 2 has 1, so Gemma 4 31B has broader tracked availability.

Which offers better value, Gemma 4 31B 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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