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See how much your AI agents actually cost

Model your agent architecture across every major provider — Claude, GPT, Gemini, DeepSeek and more. Get real token-level cost estimates before you build or deploy.

Start simulating →Enterprise modelling
Free to use No signup required Pricing verified July 2026
Latest changes
Jun 2026Anthropic — Claude Subscriptions↑ Increase
May 2026Google — Google AI Ultra↓ Price cut
Apr 2026Anthropic — Claude Opus 4.7Launch
Full changelog →
Why it matters

AI agent costs are unpredictable. Most teams find out too late.

Token costs compound

Each agent step carries the last one's context forward. Tool calls pile on top. By step 8 you can be paying 10× what you paid on step 1 — invisibly.

Subscriptions don't scale

Per-seat pricing looks cheap for one developer and breaks down across a team. The real question is API spend versus seats at your headcount.

Providers aren't comparable

Input, output and cache pricing vary dramatically across models. Headline per-token rates rarely predict which provider actually wins your workload.

How it works

From architecture to answer in three steps.

1

Choose your architecture

Set steps per run, tool calls per step, and how much context carries over between steps. Start from a preset or build your own.

2

Configure your workload

Pick instruction size, message volume, and response length in plain English — no token counting required.

3

Compare every provider

See cost per run, daily and monthly totals, and exactly which model wins — across Anthropic, OpenAI, Google, DeepSeek, Grok and Mistral.

Built for every use case

Start from a preset that matches your agent.

Conversational

Simple Chatbot

Single-turn Q&A, minimal context carry-over.

~$0.001 / run

Voice Agent

Real-time voice assistant — LLM cost per turn, excludes STT/TTS.

~$0.003 / turn

Data & Documents

RAG Pipeline

Retrieval-augmented generation with document context.

~$0.02 / run

Document Processing

Ingestion, extraction and summarisation at scale.

~$0.08 / doc

Multi-Step & Review

Multi-Step Research

Iterative tool calls with growing context per step.

~$0.36 / run

Code Review

PR analysis with multi-file context and structured feedback.

~$0.12 / PR

Coding Agent

Multi-file analysis, test loops, full history carry.

~$0.90 / run

Enterprise Coding Agent

Team API cost forecasting vs per-seat alternatives — model spend at 1 to 5,000 developers.

Forecast a team →

Pricing history

Flagship AI costs dropped 92% since 2023.

See full changelog →
$30 → $2.50
GPT flagship input price per MTok, 2023 to 2026
−92%
Average flagship price drop since GPT-4 launch
24+
Major pricing changes tracked across 7 providers

$/MTok input — Anthropic, OpenAI and Google flagship models 2023–2026

View full pricing history with filters →
Two ways to use it

Whether you're sizing a team or pricing a client.

Enterprise

Forecasting for engineering teams

  • Model costs to suit your actual team size.
  • Compare raw API spend against GitHub Copilot and Gemini Code Assist seats.
  • Export a branded PDF your CFO will actually read.
Try it →
Solo / SME

Know what to charge clients

  • Breakeven calculator for subscription vs API on your real usage.
  • A client billing line you can drop straight into an invoice.
  • A copyable quote template, ready for the proposal.
Try it →

Pricing data sourced from official provider pages · Verified July 2026 · Supported providers

AnthropicAnthropicOpenAIGoogleGoogleGitHubGitHubxAIMistral AIMistralDeepSeek

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