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Deepgram vs Mistral: Token Pricing, Speed & Intelligence

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

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

Mistral

Mistral Medium 3.5, Mistral Small 4, Voxtral TTS, Mistral OCR 4 — European sovereign AI

Mistral AI is a Paris-based lab offering both proprietary and open-weight models. The September 2026 lineup includes Mistral Medium 3.5 (frontier, 128K context, vision), Mistral Small 4 (efficient), Voxtral TTS (text-to-speech), and Mistral OCR 4 (document intelligence). Mistral Studio is their platform for building, testing, and deploying AI agents. Vibe is their AI agent product for long-horizon work. Check mistral.ai/technology/#pricing for current rates.

CodingEuropean complianceOpen-sourceCost-efficiencyChatVoiceDocument intelligence
Proprietary modelsHosts open weights

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

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

Mistral

Mistral Medium 3.5 with vision — competitive frontier pricing
Mistral OCR 4 for document intelligence and PDF processing
Voxtral TTS for voice applications
European data sovereignty — GDPR-native, data stays in EU
Several open-weight models available for self-hosting
Mistral Studio for building, testing, and deploying AI agents
Intelligence scores trail OpenAI and Anthropic at frontier tier
Smaller ecosystem than OpenAI
Vibe and Studio products are newer and less battle-tested

Key differentiators

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.

Mistral

The only frontier lab offering European data sovereignty with open-weight models — plus Mistral OCR 4 for document intelligence, Voxtral TTS for voice, and Mistral Studio for agentic AI.

Frequently asked questions

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.

Mistral FAQs

What are the latest Mistral models?

Mistral's September 2026 lineup includes Mistral Medium 3.5 (frontier, vision, 128K context), Mistral Small 4 (efficient), Voxtral TTS (text-to-speech), and Mistral OCR 4 (document intelligence). Mistral Small 4 is one of the cheapest capable models available.

Are Mistral models open-weight?

Some are. Mistral 7B, Mixtral 8x7B, and Mixtral 8x22B are open-weight and available on Hugging Face. Mistral Medium 3.5 and Mistral Small 4 are proprietary and available via the API.

What is Mistral OCR 4?

Mistral OCR 4 is a document intelligence model specialised for extracting text and structure from PDFs, scanned documents, and images. It is part of Mistral's Document Intelligence domain offering.

Provider resources

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.

Mistral — Mistral Medium 3.5, Mistral Small 4, Voxtral TTS, Mistral OCR 4 — European sovereign AI

Mistral AI is a Paris-based lab offering both proprietary and open-weight models. The September 2026 lineup includes Mistral Medium 3.5 (frontier, 128K context, vision), Mistral Small 4 (efficient), Voxtral TTS (text-to-speech), and Mistral OCR 4 (document intelligence). Mistral Studio is their platform for building, testing, and deploying AI agents. Vibe is their AI agent product for long-horizon work. Check mistral.ai/technology/#pricing for current rates.

The only frontier lab offering European data sovereignty with open-weight models — plus Mistral OCR 4 for document intelligence, Voxtral TTS for voice, and Mistral Studio for agentic AI.

Key strengths compared

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

Mistral

  • Mistral Medium 3.5 with vision — competitive frontier pricing
  • Mistral OCR 4 for document intelligence and PDF processing
  • Voxtral TTS for voice applications
  • Intelligence scores trail OpenAI and Anthropic at frontier tier
  • Smaller ecosystem than OpenAI

Key weaknesses compared

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

Mistral

  • Intelligence scores trail OpenAI and Anthropic at frontier tier
  • Smaller ecosystem than OpenAI
  • Vibe and Studio products are newer and less battle-tested

Provider category context

Deepgram is a frontier lab, founded in 2015. Mistral is a frontier lab, founded in 2023. Both are frontier lab providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both Deepgram and Mistral are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: Deepgram leads on nova-3 delivers industry-leading accuracy with ~300 ms p50 latency for real-time streaming, while Mistral leads on mistral medium 3.5 with vision — competitive frontier pricing. For cost-sensitive workloads, compare the cheapest model tier from each provider in the pricing table above — the gap between efficient-tier models is often larger than between flagship models.