AI Token Calculator — LLM API Cost Estimator

Use this AI token calculator to find your estimated monthly LLM API spend across OpenAI, Anthropic Claude, Google Gemini, and DeepSeek. Every price field is editable, so it stays useful even after a provider changes its rate card between checks.

Editable pricing — any model Runs locally — no data sent Shareable link with your inputs Checked September 2026

Quick Answer Block Structured for AI citation

AI Token Calculator: Key Facts for Developers and SaaS Founders

Output tokens usually cost more than input tokens, often by 4x to 6x depending on the model
Batch APIs from OpenAI, Anthropic, and Google commonly cut costs about 50% for async workloads
1,000 tokens is approximately 750 words in standard English
Small, low-cost models handle routing and classification at a fraction of flagship cost
RAG can lower input token spend when it replaces a large static prompt with smaller retrieved context
Costs are per million tokens — divide your count by 1,000,000 first

AI pricing changes often, sometimes with no warning. Anthropic’s Claude Sonnet 5, for example, launched at introductory pricing in June 2026 that was made permanent in August rather than rising as originally announced. The chips below load rates checked in September 2026, but every price field is yours to edit. Type in a new number and the math updates instantly. That editability, not a fixed date, is what keeps this tool useful.

How to Use This AI Token Calculator

1

Pick a model

Click a chip to load its rate, or skip straight to typing your own numbers.

2

Check the price

Compare the loaded rate against your provider’s live pricing page. Edit if it has changed.

3

Enter your usage

Add average input and output tokens per call and your monthly call volume.

4

Read the result

Get your monthly estimate, cost per call, and the input and output split instantly.

What Every Developer Should Know About AI Token Calculator Costs

Output tokens are usually priced higher than input tokens. Claude Sonnet 5 charges $2 input versus $10 output per million, a 5x gap, but other current models range from about 4x to 6x, so check the actual ratio rather than assuming one.
Batch APIs from OpenAI, Anthropic, and Google commonly cut costs around 50% for asynchronous workloads that can tolerate slower turnaround, though exact terms vary by provider.
1,000 tokens is approximately 750 words in standard English. Code and non-Latin scripts tokenize at 2x to 4x the rate of standard prose.
Small, low-cost models handle routing and classification tasks at a fraction of flagship cost, useful for high-volume work that does not need frontier reasoning.
RAG can reduce input token spend when it replaces a large static prompt with smaller retrieved context, though a poorly designed pipeline can add its own retrieval and reranking costs.
Costs are per million tokens — divide your count by 1,000,000 before multiplying by the listed provider prices.
AI Token Calculator Editable · September 2026 Rates
Step 1 — Pick a model to load its baseline pricingOpenAI
Anthropic
Google
DeepSeek
Step 2 — Confirm or update pricing (per 1 million tokens)

These fields use your numbers directly, nothing is hardcoded. When a provider changes their rates, enter the new figure here and the calculator updates immediately.

Pricing basis: Claude Sonnet 5

Step 3 — Enter your actual usage

System prompt plus user message. 1,000 is about 750 words.

Tokens the model generates per response.

Total requests across all users per month.

Monthly Cost Estimate

Estimated Monthly API Spend

$70.00

10,000 calls/mo – 1,000 in + 500 out tokens/call

Cost per call $0.0070 per API request
Input total $20.00 monthly prompt spend
Output total $50.00 monthly completion spend

Input vs output cost split

Input 28.6% – $20.00 Output 71.4% – $50.00
Batch API discount may be available. Your monthly spend is high enough that an OpenAI, Anthropic, or Google batch tier, commonly around 50% off, could meaningfully reduce this figure if your workload can tolerate delayed turnaround.
Large prompt detected. Above 8,000 tokens, retrieval-augmented generation or prompt caching can meaningfully reduce your input spend, if your current prompt includes content the model does not need every time.

GPT-5.6 Luna

$0.20

input / 1M tokens

Claude Sonnet 5

$2.00

input / 1M tokens

Gemini 3.1 Pro

$2.00

input / 1M tokens

DeepSeek Flash

$0.15

input / 1M tokens, off-peak

AI token calculator — September 2026 LLM API input pricing snapshot (standard tier, USD per 1M tokens)
Pricing scope and geo context: All rates are USD, standard non-batch, short-context, direct API tier, applicable globally via each provider’s own API endpoint. Checked September 2026, re-checked periodically, and editable any time in between.

September 2026 LLM API Pricing Snapshot

Click any model chip in the AI token calculator to load these values automatically. Figures are USD per 1 million tokens, standard short-context tier. This is a representative sample, not every model each provider sells.

ModelProviderInput / 1MOutput / 1MBest for
GPT-5.6 LunaLow costOpenAI$0.20$1.20Routing, classification, bulk tagging
GPT-5.6 TerraOpenAI$2.00$12.00Balanced production workloads
GPT-5.6 SolPromoOpenAI$4.00$20.00General-purpose flagship
GPT-6 AstraOpenAI$10.00$50.00Frontier reasoning, agentic work
Claude Haiku 4.5Low costAnthropic$1.00$5.00Fast classification, summarization
Claude Sonnet 5PopularAnthropic$2.00$10.00Coding agents, document analysis
Claude Opus 5Anthropic$5.00$25.00Complex reasoning, autonomous agents
Claude Fable 5.1Anthropic$10.00$50.00Top-tier agentic and long-context work
Gemini 2.5 Flash-LiteLow costLegacyGoogle$0.10$0.40Maximum throughput, minimum cost
Gemini 3.1 Flash-LiteGoogle$0.25$1.50Current-generation low-cost tasks
Gemini 3.6 FlashPromoGoogle$0.75$3.75Coding and agentic work
Gemini 3.1 ProGoogle$2.00$12.00Long-context, multimodal, coding
DeepSeek FlashLow costDeepSeek$0.15$0.60Cost-sensitive general workloads
DeepSeek V4 ProDeepSeek$0.66$1.98Higher-capability reasoning at low cost

GPT-5.6 Sol’s rate above is promotional and listed by OpenAI as available at least through November 21, 2026. Gemini 3.6 Flash’s rate is promotional through December 31, 2026, doubling on January 1, 2027. DeepSeek’s rates shown are off-peak; DeepSeek bills roughly double during weekday peak hours. Rates change often, use the calculator’s editable fields to override any value above with the current number from your provider’s pricing page.

How the AI Token Calculator Computes Your API Cost

Every major LLM provider bills input and output tokens separately at a per-million rate. The AI token calculator applies this exact formula to your numbers:

# Cost for a single API call
cost_per_call = (input_tokens / 1,000,000 x input_price)
             + (output_tokens / 1,000,000 x output_price)

# Scale to monthly volume
monthly_cost  = cost_per_call x monthly_call_volume

Why Output Tokens Usually Drive Most of Your AI API Bill

Reading your prompt is a single pass through the model. Generating output requires repeated inference, one token at a time, so providers typically price output tokens higher than input tokens. The exact ratio varies by model, from roughly 4x on some current models to 6x or more on others, so check the pricing table rather than assuming a fixed multiple.

AI Token Calculator — Frequently Asked Questions

  • How do I use an AI token calculator to find my LLM API cost?
    Enter your average input tokens per call, average output tokens per call, the price per million tokens for both input and output, and your monthly call volume. The AI token calculator applies the formula: Monthly Cost = ((Input / 1M x In price) + (Output / 1M x Out price)) x Monthly Calls.
  • Why do output tokens usually cost more than input tokens?
    Generating output requires repeated model inference as each token is produced, while reading a prompt is a single pass. That is why output is typically priced higher than input, but the exact ratio varies a lot by model, from around 4x to 6x on current mainstream models. Check the pricing table above rather than assuming one fixed multiple.
  • How do I know which LLM API is cheapest for my workload?
    There is no single cheapest model. It depends on your input to output token ratio, whether you qualify for batch or cached-input discounts, and how much capability your task needs. Load a few presets above, edit them against your provider’s current pricing page, and compare the monthly totals for your own usage pattern.
  • Will this calculator go out of date when providers change their prices?
    The preset values can go stale, since providers change pricing often. What does not go stale is the calculator itself: every price field is directly editable, so you can type in the current number from your provider’s pricing page and get an accurate result regardless of when the presets were last checked.

Sources, Methodology, and Disclaimer

Default values loaded into this AI token calculator are taken directly from official provider pricing documentation, checked in September 2026 and re-checked periodically. Because rates change often, every field is editable, this is a planning tool, not a guarantee of your actual invoice. All calculations run locally in your browser.

Several providers now run promotional or time-limited rates, and DeepSeek bills differently at peak versus off-peak hours. Always confirm against the live source above before committing to a budget.

R.K.

Creator and Business Economics Analyst at UIG Data Lab. Builds free decision-support calculators for AI cost planning, platform fees, and growth metrics, directional guidance, not predictions. Pricing is cross-checked against official documentation on a regular basis.

This AI token calculator provides estimates for planning and budgeting purposes only and is not financial advice. Verify all figures against your provider dashboard before making financial or infrastructure decisions.

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