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Baseten vs Deepgram: Token Pricing, Speed & Intelligence

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

Baseten

Inference infrastructure for production ML — GLM, DeepSeek V4, Kimi K3, Nemotron, Muse

Baseten is a production ML inference platform offering dedicated and serverless GPU deployments for open-weight models. The catalog includes GLM-5.3, GLM-5.2, DeepSeek V4.1 Flash, DeepSeek V4 Pro 0813, Kimi K3, Nemotron 3.5 Super VL, NVIDIA Nemotron 3 Ultra, GPT OSS 120B, and Muse Spark Open. Baseten is designed for teams that need reliable, low-latency inference with custom deployment options. Pricing is published at baseten.co/pricing.

ProductionOpen-sourceReasoningChinese NLPCost-efficiency
Open-weight hostHosts open weights

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

Baseten

Dedicated GPU deployments for production reliability and consistent latency
GLM-5.3, GLM-5.2, DeepSeek V4.1 Flash/Pro, Kimi K3, Nemotron, Muse Spark Open
Fast and Fast variants for throughput-optimised inference
Custom deployment options — bring your own model or use the catalog
Production-grade SLAs and monitoring
Smaller catalog than Together AI or Fireworks
Less documentation for new users than major providers
Dedicated deployments require more setup than pure serverless

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

Baseten

Production ML inference infrastructure with dedicated GPU deployments — GLM-5.3, DeepSeek V4.1, Kimi K3, and Nemotron with Fast variants for throughput-optimised workloads.

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

Baseten FAQs

What is Baseten?

Baseten is a production ML inference platform offering dedicated and serverless GPU deployments for open-weight models including GLM-5.3, DeepSeek V4.1 Flash, Kimi K3, Nemotron, and Muse Spark Open. See baseten.co/pricing for current rates.

What models does Baseten offer?

Baseten's catalog includes GLM-5.3, GLM-5.3 Fast, GLM-5.3-Flash, GLM-5.2, GLM-5.2 Fast, DeepSeek V4.1 Flash, DeepSeek V4.1 Flash Fast, DeepSeek V4 Pro 0813, Kimi K3, Nemotron 3.5 Super VL, NVIDIA Nemotron 3 Ultra, GPT OSS 120B, and Muse Spark Open. See baseten.co/pricing for current rates.

How much does Baseten cost?

As of October 2026: GLM-5.3 $1.40/$4.40, GLM-5.3 Fast $2.10/$6.60, GLM-5.3-Flash $0.15/$0.50, DeepSeek V4.1 Flash $0.30/$1.20, DeepSeek V4 Pro 0813 $1.32/$3.96, Kimi K3 $3.00/$15.00, Nemotron 3.5 Super VL $0.20/$0.50, GPT OSS 120B $0.10/$0.50. See baseten.co/pricing for current rates.

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

Baseten — Inference infrastructure for production ML — GLM, DeepSeek V4, Kimi K3, Nemotron, Muse

Baseten is a production ML inference platform offering dedicated and serverless GPU deployments for open-weight models. The catalog includes GLM-5.3, GLM-5.2, DeepSeek V4.1 Flash, DeepSeek V4 Pro 0813, Kimi K3, Nemotron 3.5 Super VL, NVIDIA Nemotron 3 Ultra, GPT OSS 120B, and Muse Spark Open. Baseten is designed for teams that need reliable, low-latency inference with custom deployment options. Pricing is published at baseten.co/pricing.

Production ML inference infrastructure with dedicated GPU deployments — GLM-5.3, DeepSeek V4.1, Kimi K3, and Nemotron with Fast variants for throughput-optimised workloads.

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

Baseten

  • Dedicated GPU deployments for production reliability and consistent latency
  • GLM-5.3, GLM-5.2, DeepSeek V4.1 Flash/Pro, Kimi K3, Nemotron, Muse Spark Open
  • Fast and Fast variants for throughput-optimised inference
  • Smaller catalog than Together AI or Fireworks
  • Less documentation for new users than major providers

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

Baseten

  • Smaller catalog than Together AI or Fireworks
  • Less documentation for new users than major providers
  • Dedicated deployments require more setup than pure serverless

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

Baseten is a inference api, founded in 2019. Deepgram is a frontier lab, founded in 2015. Baseten 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 Baseten if you need dedicated gpu deployments for production reliability and consistent latency. 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.