DeepSeek V4 Flash Base vs Granite Speech 5.0 TurboCTC

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens1,049KNot 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

FieldDeepSeek-V4-Flash-BaseGranite Speech 5.0 TurboCTC
DeveloperDeepSeekIBM
FamilyDeepseek V4 Flash BaseGranite Speech 5 0
ModelDeepSeek-V4-Flash-BaseGranite Speech 5.0 TurboCTC
VersionDeepSeek-V4-Flash-BaseGranite Speech 5.0 TurboCTC
Lifecycleactiveactive
Released2026-04-242026-08-25
Knowledge cutoffUnknownUnknown
Input modalitiesTextAudio
Output modalitiesTextText
Context window1,049KUnknown
Total parameters292B473M
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsYesYes
API availableUnknownNo
Self-hostableYesYes
Provider accessUnknownUnknown
Capabilitiesgenerationautomatic-speech-recognition, transcription

DeepSeek V4 Flash Base Capabilities

generation
Serving providers0
Canonical IDdeepseek-ai/DeepSeek-V4-Flash-Base

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

DeepSeek V4 Flash Base vs Granite Speech 5.0 TurboCTC FAQs

Is DeepSeek V4 Flash Base or Granite Speech 5.0 TurboCTC better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash Base 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, DeepSeek V4 Flash Base or Granite Speech 5.0 TurboCTC?+

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, DeepSeek V4 Flash Base or Granite Speech 5.0 TurboCTC?+

Neither model has a larger sourced context window in this comparison. DeepSeek V4 Flash Base is 1,049K and Granite Speech 5.0 TurboCTC is —.

Which performs better in benchmarks, DeepSeek V4 Flash Base 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 DeepSeek V4 Flash Base or Granite Speech 5.0 TurboCTC be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek V4 Flash Base is open weight; Granite Speech 5.0 TurboCTC is open weight.

Can DeepSeek V4 Flash Base and Granite Speech 5.0 TurboCTC understand images?+

DeepSeek V4 Flash Base 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, DeepSeek V4 Flash Base or Granite Speech 5.0 TurboCTC?+

Neither has a larger sourced maximum output. DeepSeek V4 Flash Base is — and Granite Speech 5.0 TurboCTC is —.

Do DeepSeek V4 Flash Base and Granite Speech 5.0 TurboCTC support reasoning and tool use?+

DeepSeek V4 Flash Base: none of these features are definitively sourced. 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, DeepSeek V4 Flash Base or Granite Speech 5.0 TurboCTC?+

DeepSeek V4 Flash Base has 0 sourced provider routes; Granite Speech 5.0 TurboCTC has 0, a tie.

Which offers better value, DeepSeek V4 Flash Base 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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