Model AI inference costs at enterprise scale. All calculations update in real time.
Usage Volume
Active users generating AI interactions
Average number of AI calls per user per working day
Token Consumption per Interaction
Includes system prompt, retrieved context, and user message
Agents make multiple model calls per user interaction. This multiplies your token consumption.
Model Tier Allocation
Complex reasoning, high-stakes decisions
Most enterprise workflows, RAG, analysis
Classification, routing, structured extraction
Cost Optimisations
Caches repeated system prompts and static context. Reduces input token cost significantly at scale.
Applicable for non-real-time workloads. Typically 25 to 50% cost reduction on economy tier.
Cost by Tier
Monthly Cost Projection
Agentic Depth Impact
| Agentic Depth | Monthly Cost | vs. Current Selection |
|---|---|---|
| 1x — Single call per interaction (standard chatbot or copilot) | $1,678 | baseline |
| 3x — Light agentic (agent breaks task into 2 to 3 steps) | $5,034 | +200% |
| 8x — Moderate agentic (agent reasons across 5 to 10 steps) | $13,424 | +700% |
| 20x — Deep agentic (complex multi-step orchestration) | $33,561 | +1900% |
Architectural Recommendation
Your current configuration reflects reasonable cost discipline. The primary lever for further optimisation at this usage pattern is reviewing agentic depth — ensure each workflow's recursion depth is justified by the task complexity rather than set by default.
Prices are based on current market rates as of 2026 and are for planning purposes only. Update the model prices in the advanced section to reflect your contracted rates.
Read the Inference Economy article