MiniMax M2.5 vs Granite Speech 5.0 TurboCTC

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$0.27Openrouter · Aug 28, 2026Not reported
Output priceFrom · USD / 1M tokens$1.08Openrouter · Aug 28, 2026Not reported
Context windowMaximum documented tokens197KNot reported
Model facts checkedAug 28, 2026View model evidence →Sep 2, 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

FieldMiniMax-M2.5Granite Speech 5.0 TurboCTC
DeveloperMiniMaxIBM
FamilyMinimax M2 5Granite Speech 5 0
ModelMiniMax-M2.5Granite Speech 5.0 TurboCTC
VersionMiniMax-M2.5Granite Speech 5.0 TurboCTC
Lifecycleactiveactive
Released2026-02-122026-08-25
Knowledge cutoffUnknownUnknown
Input modalitiesTextAudio
Output modalitiesTextText
Context window197KUnknown
Total parameters228.7B473M
Active parametersUnknownUnknown
Licenseotherapache-2.0
Open weightsYesYes
API availableYesNo
Self-hostableYesYes
Provider accessHugging Face (Standard), Openrouter (Standard)Unknown
Capabilitieschat, generation, toolsautomatic-speech-recognition, transcription

MiniMax M2.5 Capabilities

chatgenerationtools
Serving providers2
Canonical IDMiniMaxAI/MiniMax-M2.5

Granite Speech 5.0 TurboCTC Capabilities

automatic-speech-recognitiontranscription
Serving providers0
Canonical IDibm-granite/granite-speech-5.0-470m-turboctc

Primary Evidence

Sources and Freshness

Questions

MiniMax M2.5 vs Granite Speech 5.0 TurboCTC FAQs

Is MiniMax M2.5 or Granite Speech 5.0 TurboCTC better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M2.5 and Granite Speech 5.0 TurboCTC, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M2.5 or Granite Speech 5.0 TurboCTC?+

Only MiniMax M2.5 has a directly sourced input price: $0.27 per million tokens. Only MiniMax M2.5 has a directly sourced output price: $1.08 per million tokens.

Which has a larger context window, MiniMax M2.5 or Granite Speech 5.0 TurboCTC?+

Neither model has a larger sourced context window in this comparison. MiniMax M2.5 is 197K and Granite Speech 5.0 TurboCTC is —.

Which performs better in benchmarks, MiniMax M2.5 or Granite Speech 5.0 TurboCTC?+

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

Can MiniMax M2.5 or Granite Speech 5.0 TurboCTC be self-hosted?+

Both models have the same recorded self-hosting status: supported. MiniMax M2.5 is open weight; Granite Speech 5.0 TurboCTC is open weight.

Can MiniMax M2.5 and Granite Speech 5.0 TurboCTC understand images?+

MiniMax M2.5 is not documented with image input; Granite Speech 5.0 TurboCTC is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MiniMax M2.5 or Granite Speech 5.0 TurboCTC?+

Neither has a larger sourced maximum output. MiniMax M2.5 is — and Granite Speech 5.0 TurboCTC is —.

Do MiniMax M2.5 and Granite Speech 5.0 TurboCTC support reasoning and tool use?+

MiniMax M2.5: tool calling. Granite Speech 5.0 TurboCTC: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, MiniMax M2.5 or Granite Speech 5.0 TurboCTC?+

MiniMax M2.5 has 2 sourced provider routes; Granite Speech 5.0 TurboCTC has 0, so MiniMax M2.5 has broader tracked availability.

Which offers better value, MiniMax M2.5 or Granite Speech 5.0 TurboCTC?+

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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