MAI Transcribe 2 vs Mistral Large 3

At a Glance

Compare
Mistral Large 3Mistral AI
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.25Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$0.75Openrouter · Sep 22, 2026
Context windowMaximum documented tokensNot reported262K
Model facts checkedSep 3, 2026View model evidence →Aug 29, 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 Large 3
DeveloperMicrosoftMistral AI
FamilyMai TranscribeMistral Large 3
ModelMAI-Transcribe 2Mistral Large 3
VersionMAI-Transcribe 2Mistral Large 3
Lifecyclepreviewactive
Released2026-09-032025-12-02
Knowledge cutoffUnknownUnknown
Input modalitiesAudioText, Image, Document
Output modalitiesTextText
Context windowUnknown262K
Total parametersUnknown675B
Active parametersUnknown41B
LicenseUnknownApache-2.0
Open weightsNoYes
API availableYesYes
Self-hostableUnknownYes
Provider accessMicrosoft Foundry (Public preview)Mistral AI (Standard), Openrouter (Standard)
Capabilitiesdiarization, multilingual, speaker-attribution, transcription, word-level-timestampsagents, chat, generation, structured_outputs, tools, vision

MAI Transcribe 2 Capabilities

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

Mistral Large 3 Capabilities

agentschatgenerationstructured outputstoolsvision
Serving providers2
Canonical IDmistralai/mistral-large-2512

Primary Evidence

Sources and Freshness

Questions

MAI Transcribe 2 vs Mistral Large 3 FAQs

Is MAI Transcribe 2 or Mistral Large 3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MAI Transcribe 2 and Mistral Large 3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MAI Transcribe 2 or Mistral Large 3?+

Only Mistral Large 3 has a directly sourced input price: $0.25 per million tokens. Only Mistral Large 3 has a directly sourced output price: $0.75 per million tokens.

Which has a larger context window, MAI Transcribe 2 or Mistral Large 3?+

Neither model has a larger sourced context window in this comparison. MAI Transcribe 2 is — and Mistral Large 3 is 262K.

Which performs better in benchmarks, MAI Transcribe 2 or Mistral Large 3?+

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 Large 3 be self-hosted?+

Mistral Large 3 is the only model in this pair currently marked as self-hostable. MAI Transcribe 2 is not marked open weight; Mistral Large 3 is open weight.

Can MAI Transcribe 2 and Mistral Large 3 understand images?+

MAI Transcribe 2 is not documented with image input; Mistral Large 3 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MAI Transcribe 2 or Mistral Large 3?+

Neither has a larger sourced maximum output. MAI Transcribe 2 is — and Mistral Large 3 is —.

Do MAI Transcribe 2 and Mistral Large 3 support reasoning and tool use?+

MAI Transcribe 2: none of these features are definitively sourced. Mistral Large 3: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, MAI Transcribe 2 or Mistral Large 3?+

MAI Transcribe 2 has 1 sourced provider route; Mistral Large 3 has 2, so Mistral Large 3 has broader tracked availability.

Which offers better value, MAI Transcribe 2 or Mistral Large 3?+

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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