TokenAtlasSee your AI costs before you ship.
Model the monthly cost of a new prompt, agent, or model swap in seconds — then update the scenario as the workload changes. Built for teams shipping with OpenAI, Anthropic, Google, Mistral, Groq and DeepSeek.
$2.5/M input · $10/M output
Why: Reliable summarization at a meaningfully lower price per token.
Designed for teams using
TokenAtlas maintains a model catalog covering OpenAI, Anthropic, Google, Mistral, Groq, DeepSeek. Logos represent the providers whose pricing we track and compare — not customers or endorsements.
OpenAI
Anthropic
Google
Mistral
Groq
DeepSeek
Built for teams managing AI costs
Unpredictable AI API Costs
AI features scale quickly, but costs are difficult to forecast before deployment.
Limited Cost Visibility
Teams struggle to understand which workflows or features drive AI spending.
Manual Optimization Decisions
Engineers manually compare models and estimate tradeoffs.
Scaling AI Without Budget Control
Growing AI products need cost intelligence before usage becomes expensive.
These represent common challenges faced by AI teams. They are not customer testimonials.
Why TokenAtlas?
Help AI teams understand, forecast and optimize AI costs before they become expensive.
Understand AI Costs
Estimate AI costs before deployment using configurable workload scenarios.
Compare Model Options
Evaluate AI models using transparent pricing and workload assumptions.
Make Better Cost Decisions
Explore trade-offs before choosing a model or architecture.
Built for Growing AI Teams
Designed for teams building AI products that need predictable cost planning.
TokenAtlas helps teams model AI costs before deployment. It does not require access to provider accounts or API keys.
Cost modelling built for AI workloads.
You describe the workloads; TokenAtlas prices them against a maintained model catalog and turns those numbers into clear decisions about models, workloads, and architecture.
Cost Modelling Dashboard
One view of the workloads you configure, priced against every provider and model in our maintained pricing catalog.
Model Comparison
See cheaper or better-fitting model options for the workloads you describe, with the pricing assumptions shown.
What-If Scenario Planning
Model the cost impact of new agents, prompts, or traffic growth before you ship them.
Cost Risk Analysis
Spot which modelled workloads carry the most cost risk as volume, prompt size, or model choice changes.
Benchmark Comparison
Compare your modelled spend and model mix against typical AI product and infrastructure profiles.
Shareable Cost Reports
Turn a scenario into a clear cost summary you can hand to your CFO, board, or co-founder.
Model. Analyze. Compare. Decide.
Every workload you describe runs through the same modelling loop — so cost decisions happen before you ship, not after the invoice.
Join TokenAtlas Early and Help Shape It
Help shape the future of AI FinOps. Early users get a priority support channel, a direct line for product feedback, and early access to new features as they ship.
- Priority support channel
- Direct product feedback access
- Influence on the product roadmap
- Early access to new features
Example Optimization Insights
Illustrative scenarios — not real customer data. Model your own workloads to see your own numbers.
Coverage figures derived from our maintained pricing catalog, which we review against provider pricing pages. No aggregate customer spend or savings numbers are shown — the founding-users program is still open.
AI FinOps is the new infrastructure layer.
Every modern AI product runs on tokens — and every modern AI team is quietly discovering that token economics behave nothing like traditional cloud bills. A single retrieval pipeline, agent loop, or multimodal feature can 10× your inference spend in a week, and most teams only find out when the invoice lands.
TokenAtlas is built for that reality. It is an AI cost intelligence layer: you describe your workloads, and TokenAtlas prices them against a maintained model catalog, compares model strategies, and turns those numbers into specific, shippable decisions.
Think Stripe Dashboard for your AI revenue side, and Datadog for your AI infrastructure side — fused into one FinOps control center built for startups and AI builders.
Frequently asked questions
The questions teams ask before signing up.
- What is TokenAtlas?
- TokenAtlas is an AI cost intelligence tool. You describe a workload — model, token volumes, request counts — and it prices that scenario against a maintained catalog of published API rates.
- Who is TokenAtlas for?
- Engineering, product, and finance teams building AI features who need to understand and compare AI costs before and after shipping.
- How does TokenAtlas estimate AI costs?
- It multiplies the input and output token volumes you enter by each model's published per-million-token price, then projects that to your request volume.
- Does TokenAtlas require API keys?
- No. TokenAtlas never needs provider API keys, secrets, or credentials — please don't paste them anywhere in the product.
- Does TokenAtlas connect to provider accounts?
- No. TokenAtlas does not connect to OpenAI, Anthropic, Google, or any other provider account, and does not read your provider billing or usage history.
- Which AI models are supported?
- 11 models across 6 providers: OpenAI, Anthropic, Google, Mistral, Groq and DeepSeek.
- Can I compare different models?
- Yes. You can price the same workload against different models side by side to see how the cost changes before you commit to one.
- How accurate are cost estimates?
- Estimates are based on published list prices and the token volumes you enter, so they're only as accurate as your inputs. Always reconcile against your provider invoice for accounting.
- Can I model costs before deployment?
- Yes — that's the primary use case. Because estimates come from workload inputs rather than live traffic, you can model a feature before any of it runs in production.
- Is TokenAtlas free to try?
- Yes. The calculator is free to use, and a free account includes 20 calculations per day and 3 saved scenarios. No card required.
- How often is pricing updated?
- The model catalog is maintained by hand against each provider's public pricing page and reviewed as models launch or prices change.
- Can I share analyses with my team?
- Yes, on the Team plan, which adds shared team workspaces and exportable reports. Free and Pro accounts are single-user.
Take control of your AI infrastructure economics.
Model your workloads in minutes and get clear answers on spend, efficiency, and model decisions before you ship.
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