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TokenAtlas

AI spend management

Take control of every dollar you spend on AI.

TokenAtlas is the AI spend management platform for teams building with LLMs. See exactly where token spend goes, catch anomalies before the invoice, and pick the right model for every workload.

  • Real-time spend per model, feature, environment and team
  • Anomaly alerts before the monthly bill arrives
  • Side-by-side cost simulation across GPT, Claude, Gemini and more
  • Forecast 12 months of spend on realistic growth curves
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Why AI spend management needs its own tool

Cloud FinOps dashboards weren't built for token economics. AI bills move with prompt length, model tier, cache hits, and reasoning mode — not CPU hours. TokenAtlas gives you a model-aware cost layer so engineering and finance see the same numbers.

GPT spend management, from the first API call

OpenAI is the biggest line item on most AI bills. TokenAtlas tracks every GPT-4o, GPT-4.1, mini and o1 call by feature, environment and customer — flags when a single endpoint spikes, and shows the exact prompt/output split driving cost so you can shrink it without breaking the product.

What you can do

Attribute every API call to a feature, customer, or environment. Compare current spend to forecasts and to peers. Run what-if scenarios before you swap a model in production. Export clean reports your CFO will actually accept.

Who it's for

Engineering leads who need a defensible AI budget. CTOs who want to know what AI costs before the next funding conversation. FinOps teams that have outgrown spreadsheets.

Frequently asked questions

What is AI spend management?
AI spend management is the practice of monitoring, allocating, and optimizing what your team pays for LLM APIs and AI infrastructure. It combines cost visibility, usage analytics, model selection, and budget control in one workflow.
What is GPT spend management?
GPT spend management is the OpenAI-specific slice of AI spend management: tracking every GPT-4o, GPT-4.1, GPT-4o mini and GPT-3.5 call, attributing cost to features and customers, and moving low-stakes traffic down to cheaper tiers. TokenAtlas tracks OpenAI spend per SKU and per environment out of the box.
How do I track OpenAI API spend across a team?
Pipe your OpenAI usage into TokenAtlas by team, project or API key. You'll get per-feature attribution, weekly spend deltas, and alerts when a single feature's cost jumps outside its normal band — before the monthly invoice lands.
How is AI spend management different from FinOps?
FinOps is the broader cloud financial-operations discipline. AI spend management is the AI-native slice: token-level cost attribution, model-mix optimization, and prompt-efficiency reviews — things traditional cloud FinOps tools weren't built for.
Which providers does TokenAtlas track for spend management?
Every major provider a spend-management workflow needs: OpenAI, Anthropic, Google, Mistral, Groq, DeepSeek and Cohere at time of writing, with new SKUs added when they ship. Pricing catalog and side-by-side comparison live on the LLM comparison hub.
Can I forecast next quarter's AI bill?
Yes. TokenAtlas projects the next 3, 6 and 12 months of spend based on your actual usage curve — with adjustable growth assumptions and a swap-in-cheaper-model scenario for finance conversations.

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