Granite Speech 5.0 TurboCTC vs Mistral Medium 3.5 128B

At a Glance

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Pricing and Limits
Context windowMaximum documented tokensNot reported262K
Model facts checkedSep 2, 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

FieldGranite Speech 5.0 TurboCTCMistral-Medium-3.5-128B
DeveloperIBMMistral AI
FamilyGranite Speech 5 0Mistral Medium 3 5 128b
ModelGranite Speech 5.0 TurboCTCMistral-Medium-3.5-128B
VersionGranite Speech 5.0 TurboCTCMistral-Medium-3.5-128B
Lifecycleactiveactive
Released2026-08-25Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesAudioText, Image
Output modalitiesTextText
Context windowUnknown262K
Total parameters473M127.7B
Active parametersUnknownUnknown
Licenseapache-2.0other
Open weightsYesYes
API availableNoUnknown
Self-hostableYesYes
Provider accessUnknownUnknown
Capabilitiesautomatic-speech-recognition, transcriptionchat, generation, reasoning, tools

Granite Speech 5.0 TurboCTC Capabilities

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

Mistral Medium 3.5 128B Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Granite Speech 5.0 TurboCTC vs Mistral Medium 3.5 128B FAQs

Is Granite Speech 5.0 TurboCTC or Mistral Medium 3.5 128B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite Speech 5.0 TurboCTC 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, Granite Speech 5.0 TurboCTC 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, Granite Speech 5.0 TurboCTC or Mistral Medium 3.5 128B?+

Neither model has a larger sourced context window in this comparison. Granite Speech 5.0 TurboCTC is — and Mistral Medium 3.5 128B is 262K.

Which performs better in benchmarks, Granite Speech 5.0 TurboCTC 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 Granite Speech 5.0 TurboCTC or Mistral Medium 3.5 128B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Granite Speech 5.0 TurboCTC is open weight; Mistral Medium 3.5 128B is open weight.

Can Granite Speech 5.0 TurboCTC and Mistral Medium 3.5 128B understand images?+

Granite Speech 5.0 TurboCTC 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, Granite Speech 5.0 TurboCTC or Mistral Medium 3.5 128B?+

Neither has a larger sourced maximum output. Granite Speech 5.0 TurboCTC is — and Mistral Medium 3.5 128B is —.

Do Granite Speech 5.0 TurboCTC and Mistral Medium 3.5 128B support reasoning and tool use?+

Granite Speech 5.0 TurboCTC: 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, Granite Speech 5.0 TurboCTC or Mistral Medium 3.5 128B?+

Granite Speech 5.0 TurboCTC has 0 sourced provider routes; Mistral Medium 3.5 128B has 0, a tie.

Which offers better value, Granite Speech 5.0 TurboCTC 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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