Try a different angle on Deepgram:
Large-scale enterprise annual contract value range.
◆ marker shows typical: $500,000
Top 5 things enterprise should know
-
TCO FramingFor a multi-tool-autonomous-agent (multi-tool-autonomous-agent), LLM costs are only ~20% of total TCO.
-
Workforce EnablementIn an office-productivity-rollout (office-productivity-rollout), LLM costs reach ~80% of TCO.
What to avoid
Anti-patterns specific to enterprise.
- Ignoring the integration costs highlighted in archetypes like self-hosted-oss-llm (50% TCO).
- Assuming seat-based models scale linearly without volume discounts.
- Overlooking the 2,000,000 token context window of gemini-3-1-pro (google) for large datasets.
What to ask Deepgram
Persona-tailored from procurement intel.
- Does Deepgram offer BAA or HIPAA compliance?
- What are the multi-region deployment options?
- How do seat-based costs integrate with existing enterprise agreements?
vs alternatives, for enterprise
Enterprise buyers must compare Deepgram (deepgram)'s seat-based approach with the token-based flexibility of Google (google) and OpenAI (openai). While Google (google) provides gemini-3-1-pro with a 2,000,000 token context window, Deepgram (deepgram) offers a predictable cost structure that may be easier to integrate into large-scale office-productivity-rollout (office-productivity-rollout) budgets where LLM costs are ~80% of TCO.
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 volatilityWinner: 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 modelWinner: openai ·
gpt-5-nano
OpenAI charges $0.05/M input and $0.4/M output for gpt-5-nano. -
Maximum context window for flagship modelsWinner: google ·
gemini-3-1-pro
Google offers a 2,000,000 token context window compared to OpenAI's 1,050,000. -
Lowest cost consumer subscriptionWinner: 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.
-
RAG Knowledge Base / Internal Q&A LLM is ~25% of total TCOWorkflow: enterprise-search · Fit for: smb, enterpriseSMB 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 TCOWorkflow: developer-productivity · Fit for: developer, smb, enterprise50-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 TCOWorkflow: customer-service · Fit for: smb, enterpriseSMB 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 TCOWorkflow: voice-customer-service · Fit for: smb, enterpriseRestaurant 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 TCOWorkflow: agentic-automation · Fit for: enterpriseFortune 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 TCOWorkflow: data-sovereignty · Fit for: enterprise, developerHealthcare 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 TCOWorkflow: workforce-enablement · Fit for: smb, enterprise500-seat enterprise on M365 Copilot: $15K/mo seats + $700/mo overage + $700 governance = $16.4K/mo.
Continue your research
Deepgram for other audiences
Head-to-head comparisons
Alternative vendors
Cost optimization
Calculators
📊 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 ⓘ | — | — | — |
🧮 Estimate your monthly bill → Compare against all 12 vendors →
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.