AI Cost Per Support Ticket 2026:
What Does One AI-Resolved Ticket Actually Cost?
The true cost of an AI-resolved support ticket — including LLM inference, vector DB retrieval, and infrastructure overhead. Per-ticket costs across 6 models, scaling tables from 1K to 1M tickets/month, and deflection ROI vs human agents. Last verified: 2026-10-01.
How We Calculate AI Cost Per Ticket
A standard customer support conversation involves multiple turns. The token math for a 5-turn conversation with a 500-token system prompt:
Cost Per Ticket: All Major Models
| Model | Input/1M | Output/1M | Cost (6,750 in + 1,000 out) | Cost (cached input) |
|---|---|---|---|---|
| Gemini 2.5 Flash-Lite | $0.10 | $0.40 | $0.001075 | $0.000625 |
| GPT-6 Luna | $0.10 | $0.50 | $0.001175 | $0.000725 |
| Gemini 2.5 Flash | $0.30 | $2.50 | $0.004525 | $0.003175 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.011750 | $0.007250 |
| GPT-6.1 Sol | $2.00 | $10.00 | $0.023500 | $0.014000 |
| Claude Sonnet 5.5 | $2.00 | $10.00 | $0.023500 | $0.014500 |
Cached input assumes 5,000 of the 6,750 input tokens (system prompt plus earlier turns) are read from cache — 90% off on most models (Haiku cache read: $0.10/M), 95% off on GPT-6.1 Sol. Caching saves $0.45–9.50 per 1K tickets depending on model.
Monthly Cost at Scale
| Monthly tickets | Flash-Lite | GPT-6 Luna | Claude Haiku 4.5 | Claude Sonnet 5.5 | Human agent cost |
|---|---|---|---|---|---|
| 1,000 tickets | $0.63 | $0.73 | $7.25 | $14.50 | $3,000–5,000 |
| 10,000 tickets | $6.25 | $7.25 | $72.50 | $145.00 | $30,000–50,000 |
| 100,000 tickets | $63 | $73 | $725 | $1,450 | $300K–500K |
| 1,000,000 tickets | $625 | $725 | $7,250 | $14,500 | $3M–5M |
AI handles 40–70% of tickets as full deflections (no human needed). The cost comparison should be against the deflected ticket count, not total tickets.
All-In Cost Per Ticket (Including Infra)
| Component | Cost per ticket (Haiku, 10K/mo) |
|---|---|
| LLM API (Haiku, cached system prompt) | $0.00725 |
| Embedding (query, ~50 tokens) | $0.0000010 |
| Vector DB query (Pinecone at $70/mo ÷ 10K tickets) | $0.007000 |
| App hosting + queue ($100/mo ÷ 10K tickets) | $0.010000 |
| Total all-in cost per ticket | ~$0.025 |
At 10K tickets/month, infra ($170/mo) adds ~$0.017/ticket on top of LLM cost. At 100K tickets/month, infra becomes a smaller fraction and per-ticket total approaches LLM cost alone.
Deflection ROI Analysis
| Scenario | Tickets/mo | Deflection rate | AI cost (Haiku) | Human cost saved | ROI |
|---|---|---|---|---|---|
| Conservative | 10,000 | 40% | $250/mo | $16,000/mo | 64× |
| Moderate | 10,000 | 60% | $250/mo | $24,000/mo | 96× |
| Optimistic | 10,000 | 75% | $250/mo | $30,000/mo | 120× |
Human agent cost assumed at $4/ticket (outsourced). All-in AI stack cost (LLM + infra) = $250/mo for 10K tickets (all tickets screened, 6K–7.5K fully deflected).
Model Selection for Support Tickets
- Simple FAQ deflection (product info, status, returns): Flash-Lite or GPT-6 Luna — structured retrieval + template response
- Technical troubleshooting (multi-step, context-heavy): Claude Haiku 4.5 — better reasoning with retrieved docs; cache knowledge base context
- Complex billing disputes, escalations: Claude Haiku 4.5 + human escalation flag — cost-effective with graceful handoff
- Enterprise B2B support (custom deployments, multi-product): Claude Sonnet 5.5 — worth the premium when customer LTV is high and resolution quality matters
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