MAI Transcribe 2 vs Mistral Medium 3.5 128B

At a Glance

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Pricing and Limits
Context windowMaximum documented tokensNot reported262K
Model facts checkedSep 3, 2026View model evidence →Aug 28, 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

FieldMAI-Transcribe 2Mistral-Medium-3.5-128B
DeveloperMicrosoftMistral AI
FamilyMai TranscribeMistral Medium 3 5 128b
ModelMAI-Transcribe 2Mistral-Medium-3.5-128B
VersionMAI-Transcribe 2Mistral-Medium-3.5-128B
Lifecyclepreviewactive
Released2026-09-03Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesAudioText, Image
Output modalitiesTextText
Context windowUnknown262K
Total parametersUnknown127.7B
Active parametersUnknownUnknown
LicenseUnknownother
Open weightsNoYes
API availableYesUnknown
Self-hostableUnknownYes
Provider accessMicrosoft Foundry (Public preview)Unknown
Capabilitiesdiarization, multilingual, speaker-attribution, transcription, word-level-timestampschat, generation, reasoning, tools

MAI Transcribe 2 Capabilities

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

Mistral Medium 3.5 128B Capabilities

chatgenerationreasoningtools
Serving providers0
Canonical IDmistralai/Mistral-Medium-3.5-128B

Primary Evidence

Sources and Freshness

Questions

MAI Transcribe 2 vs Mistral Medium 3.5 128B FAQs

Is MAI Transcribe 2 or Mistral Medium 3.5 128B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MAI Transcribe 2 and Mistral Medium 3.5 128B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MAI Transcribe 2 or Mistral Medium 3.5 128B?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, MAI Transcribe 2 or Mistral Medium 3.5 128B?+

Neither model has a larger sourced context window in this comparison. MAI Transcribe 2 is — and Mistral Medium 3.5 128B is 262K.

Which performs better in benchmarks, MAI Transcribe 2 or Mistral Medium 3.5 128B?+

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

Can MAI Transcribe 2 or Mistral Medium 3.5 128B be self-hosted?+

Mistral Medium 3.5 128B is the only model in this pair currently marked as self-hostable. MAI Transcribe 2 is not marked open weight; Mistral Medium 3.5 128B is open weight.

Can MAI Transcribe 2 and Mistral Medium 3.5 128B understand images?+

MAI Transcribe 2 is not documented with image input; Mistral Medium 3.5 128B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MAI Transcribe 2 or Mistral Medium 3.5 128B?+

Neither has a larger sourced maximum output. MAI Transcribe 2 is — and Mistral Medium 3.5 128B is —.

Do MAI Transcribe 2 and Mistral Medium 3.5 128B support reasoning and tool use?+

MAI Transcribe 2: none of these features are definitively sourced. Mistral Medium 3.5 128B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, MAI Transcribe 2 or Mistral Medium 3.5 128B?+

MAI Transcribe 2 has 1 sourced provider route; Mistral Medium 3.5 128B has 0, so MAI Transcribe 2 has broader tracked availability.

Which offers better value, MAI Transcribe 2 or Mistral Medium 3.5 128B?+

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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