Cost to Build an AI Meeting Assistant 2026:
Transcription, Summaries & Action Items
Full infrastructure cost for an AI meeting assistant in 2026: transcription (STT), summarization, action item extraction, and CRM integration. Per-meeting cost breakdowns from startup to enterprise scale. Last verified: 2026-04-01.
Component 1: Speech-to-Text (Transcription)
The largest single cost in a meeting assistant is transcription. A 60-minute meeting generates ~9,000 words ≈ 12,000 tokens of transcript.
| STT Provider | Price/minute | 60-min meeting | 1K meetings/mo | Notes |
|---|---|---|---|---|
| Deepgram Nova-3 | $0.0043 | $0.26 | $258 | Fastest streaming, lowest latency |
| OpenAI Whisper API | $0.006 | $0.36 | $360 | Best quality/price for async processing |
| AssemblyAI | $0.0067 | $0.40 | $402 | Strong speaker diarization |
| Google Speech-to-Text | $0.016 | $0.96 | $960 | Best for Google Workspace integration |
For meeting assistants: Deepgram Nova-3 for streaming (real-time captions), Whisper for async post-meeting processing.
Component 2: LLM Processing (Summary + Action Items)
After transcription, LLM processes the 12,000-token transcript to produce summary (~300 tokens) + action items (~150 tokens). Total: ~12,000 input + 450 output per meeting.
| Model | Cost/meeting | 100 meetings/mo | 1K meetings/mo | 10K meetings/mo |
|---|---|---|---|---|
| Gemini 2.5 Flash | $0.004725 | $0.47 | $4.73 | $47.25 |
| Claude Haiku 4.5 | $0.012225 | $1.22 | $12.23 | $122.25 |
| GPT-5.4 mini | $0.011138 | $1.11 | $11.14 | $111.38 |
| Claude Sonnet 4.6 | $0.042750 | $4.28 | $42.75 | $427.50 |
| GPT-5.4 | $0.036750 | $3.68 | $36.75 | $367.50 |
12,000 input + 450 output tokens. LLM cost is tiny vs STT at normal meeting lengths.
All-In Monthly Cost: Full Stack
| Stack | STT/meeting | LLM/meeting | Total/meeting | 1K meetings/mo |
|---|---|---|---|---|
| Budget (Deepgram + Gemini Flash) | $0.258 | $0.0047 | $0.263 | $263 |
| Mid-range (Whisper + Haiku 4.5) | $0.360 | $0.0122 | $0.372 | $372 |
| Premium (Whisper + Sonnet 4.6) | $0.360 | $0.0428 | $0.403 | $403 |
Key insight: STT is 90–95% of total cost. Optimizing LLM model choice has minor impact; optimizing STT provider matters more.
All-in-One Meeting AI Platforms vs Custom Build
| Platform | Cost per meeting | 1K meetings/mo | Notes |
|---|---|---|---|
| Otter.ai (Pro) | $0.27/user/day (~$8/mo per user) | User-based | Simple but limited API access |
| Fireflies.ai (Pro) | $10/user/mo | User-based | Good integrations, no white-label |
| AssemblyAI (full pipeline) | ~$0.50 | $500 | API-based, customizable |
| Custom build (Deepgram + Haiku) | $0.27 | $270 | Full control, white-label possible |
Advanced Features and Their Costs
Speaker diarization
Identifying who said what. AssemblyAI and Deepgram include this in standard pricing. If added separately via Assembly: adds ~$0.002/minute ($0.12 per 60-min meeting).
Sentiment analysis
Classifying tone of each speaker segment. At $0.10/M tokens (Flash-Lite), processing a 12K-token transcript for sentiment costs $0.0012 extra per meeting — negligible.
CRM integration (Salesforce, HubSpot)
Extracting structured data (deal mentioned, next steps, contacts) and auto-populating CRM fields. Add ~500 output tokens for structured JSON extraction per meeting: $0.0025 extra on Haiku.
Q&A over meeting transcript
Letting users ask questions about meeting content. Each query: ~12,000 input (full transcript) + 200 output = $0.0122 on Haiku per query. Cache the transcript prefix for 90% savings on repeated queries over the same meeting.
Calculate Your Meeting Assistant Monthly Cost
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