Deepgram Pricing: Seat-Based Audio Intelligence Models

Deepgram pricing decoded for vibe coders, solopreneurs, developers, IT buyers, and enterprise — with cross-vendor comparison and procurement intel. Refreshed weekly.

Last refreshed: 2026-05-02 🔴 Pricing data may be stale — refresh in progress

Live-tracked weekly via aicost crawlers against deepgram.com. Discrepancies surfaced in changelog — see how this page is sourced.

Where are you coming from?

How Deepgram stacks up

Cross-vendor synthesis — what you can’t get from Deepgram’s own marketing.

Deepgram (deepgram) differentiates itself from major LLM providers by utilizing seat-based subscription models rather than the per-token billing seen with OpenAI (openai) and Google AI (google). While OpenAI (openai) charges $15/M output for its flagship gpt-5-4, and Google AI (google) charges $12/M output for gemini-3-1-pro, Deepgram (deepgram) avoids token-based volatility. This makes Deepgram (deepgram) a distinct choice for organizations prioritizing fixed seat costs over variable usage-based expenses.

Compared to the high-frequency price adjustments seen with Google AI (google), which had 36 changes in the last 30 days, Deepgram (deepgram) offers a more static pricing environment. While OpenAI (openai) provides low-cost entry points like gpt-5-nano at $0.05/M input, Deepgram (deepgram) requires a seat-based commitment, which may be less flexible for low-volume experimentation but more predictable for high-volume production.

What's changed recently

Last 30 days of price + plan movement.

No notable price movements in last 30 days. Pricing has been stable.

Top 5 questions to ask Deepgram

Verbatim — distilled from procurement intel.

  • _NARRATIVE_PENDING_

Watch out for

Gotchas, traps, and recent shifts that surprise buyers.

  • _NARRATIVE_PENDING_

Vendor comparison

Flagship + cheapest tier across 3 vendors. Deepgram highlighted.

Vendor Flagship model Input / output Cheapest model Subscription tiers Recent changes (30d)
Deepgram 0 stable
OpenAI gpt-5-4 $2.5/M in · $15/M out gpt-5-nano
$0.05 / $0.4
6 2 changes
Google AI gemini-3-1-pro $2/M in · $12/M out gemini-2-5-flash-lite
$0.1 / $0.4
8 36 changes

Who wins for what

6 common scenarios — best vendor for each.

  • Predictable monthly billing without token volatility
    Winner: deepgram  · deepgram
    Deepgram uses seat/subscription-based pricing rather than per-token API pricing.
  • Lowest cost flagship model (Input)
    Winner: google  · gemini-3-1-pro
    Google charges $2/M input compared to OpenAI's $2.5/M for gpt-5-4.
  • Lowest cost flagship model (Output)
    Winner: google  · gemini-3-1-pro
    Google charges $12/M output compared to OpenAI's $15/M for gpt-5-4.
  • Lowest cost entry-level/nano model
    Winner: openai  · gpt-5-nano
    OpenAI charges $0.05/M input and $0.4/M output for gpt-5-nano.
  • Maximum context window for flagship models
    Winner: google  · gemini-3-1-pro
    Google offers a 2,000,000 token context window compared to OpenAI's 1,050,000.
  • Lowest cost consumer subscription
    Winner: google  · google-one-basic
    Google One Basic is available at $1.99/mo, the lowest entry price listed.

Integration & TCO context

The seat fee is one line item. These archetypes show full TCO with engineering + observability + compliance.

  • Inference-only Chatbot (no retrieval) LLM is ~95% of total TCO
    Workflow: general-q-and-a  · Fit for: vibe coder, smb
    Solo developer with ChatGPT Plus + Claude Pro = $40/mo. Total monthly cost is ~$40 because there are no integration costs.
    Implementation: ~1 eng-weeks initial + ~2 hrs/month ongoing
  • RAG Knowledge Base / Internal Q&A LLM is ~25% of total TCO
    Workflow: enterprise-search  · Fit for: smb, enterprise
    SMB support RAG: $400/mo LLM tokens, $1500/mo total TCO including eng + observability + eval.
    Implementation: ~4 eng-weeks initial + ~12 hrs/month ongoing
  • Code Agent Deployment (Cursor / Copilot at team scale) LLM is ~70% of total TCO
    Workflow: developer-productivity  · Fit for: developer, smb, enterprise
    50-dev team on Copilot Business = $950/mo seats + $200/mo overage + $1500/mo eng oversight = $2650 actual.
    Implementation: ~2 eng-weeks initial + ~6 hrs/month ongoing
  • Customer Support Agent (stateful, multi-channel) LLM is ~30% of total TCO
    Workflow: customer-service  · Fit for: smb, enterprise
    SMB with 10K tickets/mo: $800 agent runtime + $2500 eng + $400 platform = ~$3700/mo.
    Implementation: ~8 eng-weeks initial + ~24 hrs/month ongoing
  • Voice Agent (Call Center / Receptionist) LLM is ~35% of total TCO
    Workflow: voice-customer-service  · Fit for: smb, enterprise
    Restaurant chain with 5K calls/mo on Gemini Live: $25 voice + $300 LLM + $4000 eng/observability = ~$4300.
    Implementation: ~6 eng-weeks initial + ~16 hrs/month ongoing
  • Multi-tool Autonomous Agent (research / sales / ops) LLM is ~20% of total TCO
    Workflow: agentic-automation  · Fit for: enterprise
    Fortune 1000 with research agent: $2500 LLM + $1500 platform + $12K eng = ~$16K/mo for ONE agent in production.
    Implementation: ~12 eng-weeks initial + ~40 hrs/month ongoing
  • Self-hosted OSS LLM (vLLM / Ollama / TensorRT) LLM is ~50% of total TCO
    Workflow: data-sovereignty  · Fit for: enterprise, developer
    Healthcare OSS deployment: $4500/mo H100 rental + $12K eng = $16.5K/mo. Break-even vs Claude Sonnet around 100M tokens/month.
    Implementation: ~6 eng-weeks initial + ~60 hrs/month ongoing
  • Office Productivity Rollout (Copilot org-wide) LLM is ~80% of total TCO
    Workflow: workforce-enablement  · Fit for: smb, enterprise
    500-seat enterprise on M365 Copilot: $15K/mo seats + $700/mo overage + $700 governance = $16.4K/mo.
📊 Raw data appendix (pricing tables, all models, all sources)

Current API Pricing

Per 1M tokens, USD. Refreshed nightly from Deepgram's pricing pages.

Last refreshed 2026-05-02 from vendor pages

Audio (Transcription / TTS / Realtime)

Model Input
$/1M tok
Output
$/1M tok
Unit Tags
Deepgram Nova-3

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Recent Price Movements

Changes detected by our crawler in the last 30 days

No price changes detected in the last 30 days. Pricing has been stable.

How this page is sourced  v2
  • Hybrid pricing version: 2026.04.30-1
  • Bundle data version: 2026.04.30-1
  • Agent data version: 2026.04.30-1
  • Integration archetypes: 2026.04.30-1
  • Procurement intel: 2026.04.30-1
  • Pricing-data.js last updated: 2026-04-17
  • Generator: vendor-pricing-v2-batch-1.0
  • Last refreshed: 2026-05-02

Published list prices crawled weekly. Sales-led plans publish public ranges with sources cited. Inferred values marked with asterisks. Persona narratives synthesized from cross-vendor data — refreshed weekly via Gemini 3 Flash.