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CloudGPU vs Deepgram: Token Pricing, Speed & Intelligence

Full comparison of CloudGPU and Deepgram — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

CloudGPU

API gateway / reseller — 33 text models at CloudGPU customer rates

CloudGPU is an API gateway and reseller offering access to frontier and mid-tier text models including Claude, GPT, Kimi, GLM, Qwen, DeepSeek, and MiniMax. Prices shown are CloudGPU customer rates — not official lab prices. CloudGPU does not disclose all routing; upstreams are not the seller.

Multi-model accessCost comparisonChinese frontier models
Open-weight host

Deepgram

Nova-3 speech-to-text API — real-time and batch transcription at low latency

Deepgram is a speech-to-text API provider specialising in low-latency audio transcription. Its Nova-3 model delivers real-time streaming transcription with high accuracy across accents and domains. Nova-3 Medical is tuned for clinical vocabulary. Deepgram also hosts Whisper Large for teams that need an open-weights baseline. Pricing is per audio hour rather than per token.

TranscriptionReal-time captionsVoice agentsMedical documentationCall analytics
Proprietary models

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

CloudGPU

Access to frontier models including Claude Fable 5.1, Kimi K3, and GPT-6 Astra
Competitive customer rates on Chinese frontier models (GLM, Kimi, Qwen, MiniMax)
OpenAI-compatible API base at cloudgpu.app/v1
API gateway/reseller — routing not fully disclosed
Prices are CloudGPU customer rates, not official lab prices
Per-model context window and capability facts are not publicly documented

Deepgram

Nova-3 delivers industry-leading accuracy with ~300 ms P50 latency for real-time streaming
Nova-3 Medical tuned for clinical and healthcare vocabulary
Per-audio-hour pricing is predictable for high-volume transcription workloads
Supports 30+ languages and automatic language detection
Whisper Large available for open-weights baseline comparisons
Speech-to-text only — no LLM chat, image, or embedding models
No per-token pricing; cost structure differs from general-purpose LLM APIs
Smaller ecosystem than general-purpose providers

Key differentiators

CloudGPU

An API gateway offering CloudGPU customer rates on 33 text models — prices differ from official lab rates; routing is not fully disclosed.

Deepgram

Purpose-built speech-to-text API with Nova-3 at ~300 ms latency and a medical-domain variant — priced per audio hour rather than per token.

Frequently asked questions

CloudGPU FAQs

Are CloudGPU prices the same as official provider prices?

No. CloudGPU is an API gateway/reseller. The prices shown are CloudGPU customer rates, which may differ from official lab prices. CloudGPU does not disclose all routing details.

What models does CloudGPU offer?

CloudGPU offers 33 text models including Claude Fable 5.1, Claude Opus 5-5, Kimi K3, GLM-5.3, Qwen 3.8 Max, DeepSeek V4 Pro, GPT-6 Astra, and MiniMax M3. See the model table for current rates.

What is the CloudGPU API base URL?

The CloudGPU API base is https://cloudgpu.app/v1 with OpenAI-compatible endpoints. See https://cloudgpu.app/api/docs for full documentation.

Deepgram FAQs

How is Deepgram priced?

Deepgram charges per audio hour rather than per token. Nova-3 is $0.218/hour, Nova-3 Medical is $0.435/hour, and Whisper Large is $0.218/hour. See deepgram.com/pricing for current rates.

What is Deepgram Nova-3?

Nova-3 is Deepgram's latest speech recognition model, offering high accuracy with approximately 300 ms P50 latency for real-time streaming. It supports 30+ languages and is optimised for conversational and call-centre audio.

Does Deepgram support real-time transcription?

Yes. Deepgram's streaming API delivers transcription results with ~300 ms latency, making it suitable for live captions, voice agents, and real-time call analytics.

Provider resources

CloudGPU — API gateway / reseller — 33 text models at CloudGPU customer rates

CloudGPU is an API gateway and reseller offering access to frontier and mid-tier text models including Claude, GPT, Kimi, GLM, Qwen, DeepSeek, and MiniMax. Prices shown are CloudGPU customer rates — not official lab prices. CloudGPU does not disclose all routing; upstreams are not the seller.

An API gateway offering CloudGPU customer rates on 33 text models — prices differ from official lab rates; routing is not fully disclosed.

Deepgram — Nova-3 speech-to-text API — real-time and batch transcription at low latency

Deepgram is a speech-to-text API provider specialising in low-latency audio transcription. Its Nova-3 model delivers real-time streaming transcription with high accuracy across accents and domains. Nova-3 Medical is tuned for clinical vocabulary. Deepgram also hosts Whisper Large for teams that need an open-weights baseline. Pricing is per audio hour rather than per token.

Purpose-built speech-to-text API with Nova-3 at ~300 ms latency and a medical-domain variant — priced per audio hour rather than per token.

Key strengths compared

CloudGPU

  • Access to frontier models including Claude Fable 5.1, Kimi K3, and GPT-6 Astra
  • Competitive customer rates on Chinese frontier models (GLM, Kimi, Qwen, MiniMax)
  • OpenAI-compatible API base at cloudgpu.app/v1
  • API gateway/reseller — routing not fully disclosed
  • Prices are CloudGPU customer rates, not official lab prices

Deepgram

  • Nova-3 delivers industry-leading accuracy with ~300 ms P50 latency for real-time streaming
  • Nova-3 Medical tuned for clinical and healthcare vocabulary
  • Per-audio-hour pricing is predictable for high-volume transcription workloads
  • Speech-to-text only — no LLM chat, image, or embedding models
  • No per-token pricing; cost structure differs from general-purpose LLM APIs

Key weaknesses compared

CloudGPU

  • API gateway/reseller — routing not fully disclosed
  • Prices are CloudGPU customer rates, not official lab prices
  • Per-model context window and capability facts are not publicly documented

Deepgram

  • Speech-to-text only — no LLM chat, image, or embedding models
  • No per-token pricing; cost structure differs from general-purpose LLM APIs
  • Smaller ecosystem than general-purpose providers

Provider category context

CloudGPU is a inference api. Deepgram is a frontier lab, founded in 2015. CloudGPU as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Deepgram as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.

How to choose between them

Choose CloudGPU if you need access to frontier models including claude fable 5.1, kimi k3, and gpt-6 astra. Choose Deepgram if you need Real-time transcription. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.