Vendor pricing for AI election voice agents in 2026 is a mess. Two vendors with similar-looking pitches can have 3× cost difference for the same workload. The pricing models are designed to be hard to compare on purpose — bundling, peak surcharges, voice-clone markups, regional language surcharges, dashboard fees.
This guide is the de-jargoned breakdown. The cost components, the typical ranges, what to negotiate, and how to spot the vendors who are overcharging.
The cost components
A single voter conversation has 5 underlying costs. Vendors bundle these differently. Make them itemise.
1. LLM tokens (the brain)
The model that processes the voter's words and generates the response. Per call:
- System prompt + RAG context: ~3,000–6,000 input tokens
- 4–8 turns of conversation × ~150 input tokens each = ~1,000 input tokens
- Generated responses × 4–8 turns × ~80 tokens each = ~500 output tokens
At 2026 rates (Gemini 2.5 Flash, Claude Haiku 4.5, GPT-4.1-mini, Qwen 3 30B A3B):
- Input: ~$0.10–$0.30 per million tokens → ~₹0.04 per call
- Output: ~$0.40–$1.20 per million tokens → ~₹0.05 per call
Total LLM cost per call: ~₹0.05–₹0.15.
2. STT (speech-to-text)
The model that transcribes voter speech. Streamed across the whole call duration.
- Cost: typically $0.005–$0.015 per minute of streaming
- 60-90 second call: ~₹0.10–₹0.20
3. TTS (text-to-speech)
The model that generates the agent's audio responses. Charged per minute of generated speech.
- Cost: $0.10–$0.25 per minute of generated speech
- Agent speaks ~40–60% of the call (voter speaks the rest)
- 60-second call: ~₹0.30 of TTS
- 120-second call: ~₹0.60
TTS is the single largest variable cost. Reducing call length 10% saves 10% on TTS specifically.
4. Telephony
Carrier costs for outbound calls in India.
- Per-minute outbound: ₹0.20–₹0.50 (depends on carrier deal, sender pool, volume tier)
- 60-second call: ₹0.20–₹0.50
5. Platform / operations markup
The vendor's margin on top of raw infrastructure costs.
- Healthy markup: 30-50% on top of raw costs
- Predatory markup: 100-200% on top of raw costs
Most enterprise vendors charge somewhere in between. The best clue is whether they'll itemise — vendors with healthy markups will; vendors with predatory markups won't.
The math: what a "₹1 per call" headline actually means
A 75-second average Hindi call costs:
| Component | Cost |
|---|---|
| LLM (Gemini Flash) | ₹0.10 |
| STT (Deepgram-equivalent) | ₹0.15 |
| TTS (45s of audio at ₹0.20/min) | ₹0.35 |
| Telephony (75s at ₹0.30/min) | ₹0.40 |
| Raw cost | ₹1.00 |
| Platform markup (40%) | ₹0.40 |
| All-in cost | ₹1.40 |
That's roughly the upper bound of competitive pricing. Vendors who quote ₹2-3 per call for the same workload are taking 100%+ markup or using inefficient infrastructure.
Vendors who quote ₹0.40 per call for the same workload are either subsidising (loss-leader pilot), shortening calls to 30s (UX collapses), or using lower-quality models (engagement drops).
Volume tiers and bulk discounts
Pricing should drop with volume. Reasonable tiers:
| Volume | Per-call rate (Hindi) |
|---|---|
| <50,000 calls (pilot) | ₹1.50–₹2.00 |
| 50K–5 lakh calls (constituency) | ₹1.00–₹1.50 |
| 5 lakh–50 lakh calls (state campaign) | ₹0.80–₹1.20 |
| 50 lakh+ calls (national) | ₹0.60–₹0.90 |
Bulk discounts come primarily from carrier economics (telephony rates drop with volume commits) and amortised platform costs. LLM/STT/TTS are roughly volume-flat — these are paid per unit.
Regional language markup
Most vendors charge a 15–30% markup for regional language conversations. Reasons:
- Smaller LLMs less optimised for languages other than Hindi/English
- Smaller pool of TTS voices, sometimes premium-tier voices
- Higher engineering cost for dialect tuning
If your campaign is heavily regional (Tamil, Bengali, Marathi), build this into the budget. Don't accept a quote for "all 22 Indian languages at the same price" — that vendor is either subsidising or hasn't actually tested regional quality.
Voice cloning costs
If the campaign wants the candidate's voice:
- One-time setup: ₹50K–₹3 lakh depending on quality, fidelity, multilingual support
- Per-call markup: ₹0.05–₹0.15 added to base rate (cloned voices are computationally heavier)
- Refresh/iteration: occasional re-tuning runs ₹25K–₹75K each
For a 50-lakh-call campaign, voice cloning adds ₹3-8 lakh to total cost. Whether it's worth it depends on the candidate — a well-known voice that voters recognise drives significantly higher engagement.
Peak concurrency
Most vendors set a default concurrency cap (e.g., 5,000 simultaneous calls). Above the cap, two patterns:
- Queue and retry: cheaper but adds latency, voters get calls minutes later
- Burst pricing: 1.5–3× markup during peak windows
For rally days, polling-day GOTV waves and pre-poll weekends, plan for peak concurrency in the contract. A flat per-call rate with built-in peak handling is the cleanest negotiation.
Hidden costs to watch for
Five line items that vendors often hide:
- Setup / onboarding fee. Reasonable: ₹5-15 lakh. Predatory: ₹50+ lakh. The setup work is real (DLT registration, KB ingestion, system prompt tuning) but should be capped.
- Dashboard / analytics subscription. Some vendors price the dashboard separately. Insist that dashboard access is included in the per-call rate.
- Call recording storage. Storage is ~₹0.01 per call per month. Vendors who charge ₹0.10+ per call for storage are gouging.
- Voter list ingestion charges. Reasonable: free for up to 10 cr voters. Predatory: ₹0.05 per voter ingested.
- War-room support fees. Reasonable: included for 4-8 hours of operations support per week. Premium hours billable.
How to benchmark vendors
A simple framework. For each vendor under consideration:
- Demand itemised pricing. Vendors who refuse are signalling they're overcharging.
- Calculate raw cost from itemisation. Compare to the ~₹1 raw cost we calculated above.
- Compute platform markup. Anything above 70% markup is a yellow flag.
- Test the demo. Run 10 calls with your dialect, your KB, your system prompt. Measure latency, completion, satisfaction. Bad demos at premium prices are a hard no.
- Check references. Talk to 2 prior campaigns that ran with this vendor. What did they actually pay? What broke?
Sample budget: 50-lakh-voter Lok Sabha constituency
Working from the per-call costs above, a complete campaign budget:
Voice AI:
- Wave 1 (T-90 to T-60): 50 lakh × 1 call × ₹1.20 = ₹60 lakh
- Wave 2 (T-60 to T-30): 35 lakh × 1 call × ₹1.20 = ₹42 lakh (target undecided + persuadable)
- Wave 3 (GOTV T-7 to T-0): 20 lakh × 1 call × ₹1.50 (higher peak rate) = ₹30 lakh
- Inbound helpline: 6-month operations × ₹2 lakh/month = ₹12 lakh
Total voice AI: ~₹1.44 cr
Adjacent costs:
- DLT registration: ₹2 lakh
- Voice cloning: ₹5 lakh
- WhatsApp Business API (50 lakh templated messages × ₹0.25): ₹12.5 lakh
- SMS (50 lakh × ₹0.15): ₹7.5 lakh
- Dashboard, analytics, integrations: ₹8 lakh
Total AI campaign cost: ~₹1.80 cr
For comparison, the equivalent human call-centre coverage (3 waves × 50 lakh × ₹5 per call) would be ₹7.5 cr — over 4× more, with worse audit trail and lower throughput.
What ChatGPT-equivalent direct-to-vendor costs would be
Some campaigns ask: "can we just build this on top of OpenAI / Anthropic / Google directly and skip the platform fee?"
Theoretical costs (raw model + telephony, no platform):
- LLM + STT + TTS + Telephony: ~₹0.70 per call
- Engineering team to build the orchestration, observability, integrations: ~₹3-5 cr/year fixed cost
- Compliance work (DLT, ECI, DPDP): ~₹50 lakh of legal + ops setup
For a single campaign of <2 cr call volume, the engineering team alone overwhelms the per-call savings. Direct-to-LLM only makes sense for permanent infrastructure used across many cycles — and at that point, you've become a vendor.
Where AiSewak fits
AiSewak's pricing model:
- ₹1.00–₹1.30 per Hindi conversation, all-in (LLM + STT + TTS + telephony + platform)
- 15% markup for regional languages
- No setup fee for campaigns >5 lakh calls
- No dashboard / analytics fee
- Voice cloning ₹1.5 lakh one-time + ₹0.10/call markup
- Volume discounts: 15% off above 25 lakh calls, 25% off above 1 crore calls
Pricing is itemised by default; we want you to audit it.
Where to go next
- 10 Must-Have Features — what you're paying for
- AI vs Traditional Outreach — ROI comparison
- Voice AI vs SMS vs WhatsApp — channel cost comparison
- The 30-Day Deployment Playbook — execution
Cost matters because the same budget allocated differently produces different election outcomes. A clean per-call price comparison protects you from vendors who are betting you won't do the math.