DeepSeek V4 Flash vs Granite Speech 5.0 TurboCTC
At a Glance
| Compare | DeepSeek V4 FlashDeepSeek | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.0868Openrouter ↗ · Aug 28, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.1736Openrouter ↗ · Aug 28, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | Not reported |
| Model facts checked | Aug 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
Side-by-Side Facts
| Field | DeepSeek-V4-Flash | Granite Speech 5.0 TurboCTC |
|---|---|---|
| Developer | DeepSeek | IBM |
| Family | Deepseek V4 Flash | Granite Speech 5 0 |
| Model | DeepSeek-V4-Flash | Granite Speech 5.0 TurboCTC |
| Version | DeepSeek-V4-Flash | Granite Speech 5.0 TurboCTC |
| Lifecycle | retired | active |
| Released | 2026-04-24 | 2026-08-25 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Audio |
| Output modalities | Text | Text |
| Context window | 1,049K | Unknown |
| Total parameters | 290.9B | 473M |
| Active parameters | 13B | Unknown |
| License | mit | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | No |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard) | Unknown |
| Capabilities | chat, generation, reasoning | automatic-speech-recognition, transcription |
DeepSeek V4 Flash Capabilities
Granite Speech 5.0 TurboCTC Capabilities
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash vs Granite Speech 5.0 TurboCTC FAQs
Is DeepSeek V4 Flash 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 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 or Granite Speech 5.0 TurboCTC?+
Only DeepSeek V4 Flash has a directly sourced input price: $0.0868 per million tokens. Only DeepSeek V4 Flash has a directly sourced output price: $0.1736 per million tokens.
Which has a larger context window, DeepSeek V4 Flash or Granite Speech 5.0 TurboCTC?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Flash is 1,049K and Granite Speech 5.0 TurboCTC is —.
Which performs better in benchmarks, DeepSeek V4 Flash 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 or Granite Speech 5.0 TurboCTC be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Flash is open weight; Granite Speech 5.0 TurboCTC is open weight.
Can DeepSeek V4 Flash and Granite Speech 5.0 TurboCTC understand images?+
DeepSeek V4 Flash 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 or Granite Speech 5.0 TurboCTC?+
Neither has a larger sourced maximum output. DeepSeek V4 Flash is — and Granite Speech 5.0 TurboCTC is —.
Do DeepSeek V4 Flash and Granite Speech 5.0 TurboCTC support reasoning and tool use?+
DeepSeek V4 Flash: reasoning. 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 or Granite Speech 5.0 TurboCTC?+
DeepSeek V4 Flash has 5 sourced provider routes; Granite Speech 5.0 TurboCTC has 0, so DeepSeek V4 Flash has broader tracked availability.
Which offers better value, DeepSeek V4 Flash 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.