AI Team Cost Calculator

Estimate monthly AI API costs for teams of any size

Team size

Queries per person / day

Avg input tokens / query

Avg output tokens / query

Working days per month

Daily queries

Daily tokens

Monthly queries

Monthly cost by model

Model	Daily	Monthly	Yearly	Per person/mo

💰 Cheapest option

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Learn more — how it works, FAQ & guide

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Free AI team cost calculator — OpenAI, Claude, Gemini budget planning

Toololis AI Team Cost Calculator estimates monthly AI API costs for teams of any size across all 8 major models. Plan budgets, compare providers, find hidden cost savings — all with live 2026 pricing.

How to use this tool

1
Set team size
How many people on your team use AI APIs (GPT, Claude, Gemini, etc.).
2
Estimate usage per person
Queries per day, average input tokens per query, average output tokens per query.
3
Compare models
See daily, monthly, yearly costs across all 8 major models. Pick the best value for your scale.

Typical team AI budgets (2026)

Small startup (5 devs): ~$200-800/month using GPT-4o for heavy coding tasks
Mid-size SaaS (30 people): ~$1.5-5K/month mixing Claude Sonnet + Haiku
Enterprise (100+ users): $10-50K/month with volume discounts
AI-native product (processing every user request): scales with user base, often $0.01-0.50 per active user per month

Cost-reduction strategies

Use cheaper models for simpler tasks — Haiku / Flash handle classification + summaries at 10-100× lower cost
Cache common prompts — Anthropic prompt caching saves 90% on repeated context
Reduce context window — summarize conversation history instead of resending full
Structured outputs — less retry waste from malformed responses
Batch processing — OpenAI/Anthropic batch APIs offer 50% discount for non-realtime work

Frequently Asked Questions

How should I estimate tokens per query?

Simple tasks (classification, short Q&A): 500 input / 200 output. Medium (summaries, rewrites): 2,000 input / 500 output. Long (analysis, generation): 5,000 input / 2,000 output. RAG / context-heavy: 10,000 input / 1,000 output.

Which model is cheapest per task?

In 2026: Gemini 1.5 Flash is cheapest overall ($0.075 input / $0.30 output per 1M). Claude 3 Haiku similar. For balance of cost/quality: Claude 3.5 Sonnet at $3/$15.

Does this include taxes?

No. Prices shown are provider list rates, pre-tax. US/EU buyers add VAT/sales tax (typically 19-25% in EU).

What if my usage varies?

Run multiple scenarios — low, avg, high. Plan budget for "avg × 1.3" to allow growth. Most teams underestimate AI spend by 40% in year 1.

Hidden costs I'm missing?

Yes: retries (failed calls retry = extra cost), streaming (same cost but spread), function calling (extra tokens in tool definitions), fine-tuning (one-time training cost + 2-5× inference price).

Enterprise discounts?

OpenAI, Anthropic, Google all offer volume discounts above $50K/month usage. Negotiate directly with sales at that scale.