LLM cost calculators

Estimate any LLM token bill from input and output counts and a per-million rate. Formula, worked example and monthly projection.

Turn any LLM token count into a cost estimate. The per-million formula, unit conversion and a monthly projection.

The per-million token formula explained simply. Unit conversion, worked example and monthly projection.

Generic API token cost arithmetic: counts and rates in, dollars out. Formula, units and exclusions.

Compare LLM pricing tiers with one formula. How rate differences translate into monthly differences.

Turn per-million token prices into concrete costs for your counts. Units, formula and worked example.

Inference cost per request and per month from your own token counts. Formula and worked example.

Turn provider usage records into a cost estimate. Reconciliation formula and known billing gaps.

The LLM token-cost formula as a small Python function. Drop it into a batch job and audit your spend.

Estimate an OpenAI API bill from token counts and per-million rates. Formula, monthly projection and what the estimate excludes.

Convert GPT token counts to dollars. Input versus output pricing, the output multiplier and a monthly projection.

Input versus output token pricing explained with the formula. The output multiplier and its effect on the bill.

Reconcile OpenAI usage records against expected cost. The formula, cache rules and common gaps.

Per-token cost on OpenAI tiers, input and output side. Unit math and the output multiplier.

Estimate a monthly OpenAI API bill from workload shape and current rates. Formula and cadence multipliers.

Per-run and monthly GPT API cost arithmetic from your own token counts. Formula and worked example.

Convert GPT token counts to dollars without sending a request. The formula and a worked example.

Estimate GPT-class API costs per run and per month. Formula, cadence and exclusions.

Estimate GPT-4o class token costs per run and per month from your own counts and current rates.

High-volume workload estimates for small-tier models. Token arithmetic, runs per day and monthly projection.

Cost arithmetic for GPT-4 class workloads. Rates re-rateable, formula, monthly projection.

Estimate the API cost of a chat workload. Context resend, output multipliers and monthly projection explained.

Estimate chat bot and agent API costs. Context resend, output multipliers and monthly projection.

The token-cost formula for Azure-hosted models. Swap in region rates for an exact estimate.

Azure OpenAI cost estimation with region-specific rates. Formula, unit handling and exclusions.

Estimate Anthropic API costs from input and output token counts. Formula, output multiplier and monthly projection.

One workload across three model tiers. How to re-rate the cost formula for each tier and compare monthly totals.

Translate a Claude rate card into a bill for your token mix. Input, output and cached-input sides.

Claude API cost arithmetic: input and output token counts to dollars. Formula and monthly projection.

Project monthly Claude API spend from a measured workload. Cadence multipliers and exclusions.

Anthropic token counts to USD. The formula, cache caveat and monthly projection.

Volume workload estimates for small model tiers. Per-run cost, runs per day and the monthly projection.

Premium model tier cost estimation. Per-run arithmetic and monthly budgeting for hard problems, not volume.

Anthropic token cost arithmetic: per-million rates to dollars. Formula, tiers and exclusions.

Estimate Gemini API token costs. Long-context workload shape, formula and monthly projection.

Flash and Pro tier pricing compared on one workload. The formula, the tier trade-off and monthly projections.

Gemini API token costs from your own counts. Input and output sides, formula and projection.

Estimate monthly Gemini spend across Flash and Pro tiers. Cadence multipliers and the tier trade-off.

Cost arithmetic for Gemini 2.5 Pro class workloads. Formula, worked example and monthly projection.

Budget-tier production traffic estimated from token counts and current per-million rates.

DeepSeek token cost arithmetic: rates in per million, dollars out. Formula and projection.

Mistral API token cost estimation for a standard workload. Formula and monthly projection.

Mistral API token cost arithmetic. Per-million rates, formula and monthly projection.

Estimate Grok API costs from input and output token counts. Per-run arithmetic and monthly budgeting.

Grok API token cost estimation. Input and output sides, formula and monthly projection.

Hosted Llama token costs and the self-hosting comparison. Formula, hardware caveat and monthly projection.

Llama API cost estimation for hosted deployments. Formula, per-million rates and monthly projection.

Open-weight model cost estimation at large scale. Token arithmetic and monthly projection.

Estimate routing-platform costs per model route. Compare routes before traffic hits them.

Estimate AI agent costs per task and per month. Why agents multiply calls and how to model the task shape.

RAG pipeline cost estimation. Why retrieval-heavy workloads are input-heavy and how to project the month.

Estimate coding-agent session costs. Why agent workloads are input-heavy and how to project monthly spend.

Estimate monthly coding-agent session costs. Session shapes, context weight and projection.

Estimate monthly LLM spend from token counts and per-million rates. The projection formula and what it excludes.

Production-scale LLM cost estimation. Large context shapes, monthly projection and where caching pays.

Estimate AI API spend for a team or a side project. Formula, cadence multipliers and honest exclusions.

Turn one workload shape into a monthly AI API budget line. Formula, projection and exclusions.

Estimate AI token costs across input and output sides. The formula, the multiplier effect and a monthly projection.

Project a monthly LLM bill from per-run costs and daily cadence. Formula, worked numbers and exclusions.

Work backwards from a monthly budget to the token volume it allows. Formula, headroom and exclusions.

Compare LLM token spend against the value a feature returns. The cost side of the ROI formula, honestly bounded.