Deepgram vs TensorX: Token Pricing, Speed & Intelligence

Full comparison of Deepgram and TensorX — 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

TensorX

EU inference — Dublin, Helsinki, Paris — GLM-5.3, Kimi K3, zero data retention

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. USD pricing. Suited for EU workloads that need geographic diversity within Europe and a zero-retention policy.

EU inferencePrivacy-sensitive workloadsGeographic diversity

Open-weight hostHosts 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

TensorX

EU nodes in Dublin, Helsinki, and Paris — geographic diversity

Zero data retention policy

Prompt caching on GLM-5.3 (cached $0.44/1M vs $1.75/1M standard)

USD pricing — no currency conversion for international customers

Small model catalog

Prepaid credits only — no post-pay billing

Newer provider — limited third-party benchmark transparency

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.

TensorX

EU inference with nodes in Dublin, Helsinki, and Paris, zero data retention, and prompt caching on GLM-5.3.

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.

TensorX FAQs

What is TensorX?

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. See tensorx.ai/pricing for current rates.

Does TensorX retain my data?

No. TensorX operates a zero data retention policy.

Provider resources

Deepgram

Provider page

Website

Pricing Docs

TensorX

Provider page

Website

Pricing

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

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.

TensorX — EU inference — Dublin, Helsinki, Paris — GLM-5.3, Kimi K3, zero data retention

EU inference with nodes in Dublin, Helsinki, and Paris, zero data retention, and prompt caching on GLM-5.3.

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

TensorX

EU nodes in Dublin, Helsinki, and Paris — geographic diversity
Zero data retention policy
Prompt caching on GLM-5.3 (cached $0.44/1M vs $1.75/1M standard)

Small model catalog
Prepaid credits only — no post-pay billing

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

TensorX

Small model catalog
Prepaid credits only — no post-pay billing
Newer provider — limited third-party benchmark transparency

Provider category context

Deepgram is a frontier lab, founded in 2015. TensorX is a inference api, founded in 2024. Deepgram as a frontier lab trains and serves its own proprietary models. TensorX as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.

How to choose between them

Choose Deepgram if you need Real-time transcription. Choose TensorX if you need EU inference. 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.