✓ All prices verified

Token Calculator 2026 - Compare 45+ AI Model Prices | GPT-5.4, Claude Opus 4.6, Gemini 3 Pro

The most accurate token calculator for Large Language Models. Compare real-time pricing for 45 AI models from 7 providers including Google (Gemini 3 Pro, Gemini 3 Flash, Gemini 2.5 Pro), Anthropic (Claude Opus 4.6, Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5), OpenAI (GPT-5.4, GPT-5.4 Pro, GPT-5.2, GPT-4o), and xAI (Grok 4.1). Get precise token counts and cost estimates with support for prompt caching, batch API pricing, and long context windows. GPT-5.4 pricing is updated from OpenAI's March 2026 release and Claude Opus 4.6 pricing reflects Anthropic's latest official release. Calculate per API call, daily usage, and monthly projections. Updated March 2026.

Supported AI Model Providers

  • Anthropic
  • DeepSeek
  • Google
  • Moonshot
  • OpenAI
  • Qwen
  • xAI

Key Features

  • Real-time token counting with official tokenizers
  • Support for system, user, and assistant messages
  • Cached input pricing calculations
  • Multi-currency support (USD, EUR, GBP, JPY, CNY)
  • JSON import/export for conversation data
  • Model comparison across all providers
  • Daily and monthly cost projections
  • Export cost reports as PNG images

Popular Model Pricing

Average input pricing: $3.06 per million tokens

  • Claude Haiku 3.5: Input $0.8/M, Output $4/M tokens
  • Claude Haiku 4.5: Input $1/M, Output $5/M tokens
  • Claude Opus 4.1 (Legacy): Input $15/M, Output $75/M tokens
  • Claude Opus 4.5 (Legacy): Input $5/M, Output $25/M tokens
  • Claude Opus 4.6: Input $5/M, Output $25/M tokens
  • Claude Sonnet 3.7 (Legacy): Input $3/M, Output $15/M tokens
  • Claude Sonnet 4: Input $3/M, Output $15/M tokens
  • Claude Sonnet 4.5: Input $3/M, Output $15/M tokens
  • DeepSeek Chat: Input $0.27/M, Output $1.1/M tokens
  • DeepSeek Reasoner: Input $0.55/M, Output $2.19/M tokens
🔥
NEW: Claude Opus 4.6 Released (Feb 10, 2026)
$5.00/1M input • $25.00/1M output • 90% cache discount • 1M context beta →
🎨
New: AI Image Pricing Calculator
Compare GPT Image 1, Gemini, Stable Diffusion - From $0.003/image →

AI Token Calculator, API Pricing & Cost Estimator

Calculate 100K and 1M token cost instantly, compare real-time API pricing across 45 AI models from 7 providers, and sanity-check context windows before you ship any GPT, Claude, Gemini, DeepSeek, or Qwen workflow.

Best for searches like AI token calculator, LLM token calculator, OpenAI token calculator, Claude token calculator, 100K tokens cost, and 1M token pricing.

Need the cheapest OpenAI token estimate?
Open the GPT-4o mini calculator when you care about 100K or 1M token cost before picking a larger model.
Need a provider shortlist, not just token math?
Jump to the pricing hub when you want to narrow OpenAI vs Claude vs Gemini before opening a model-specific page.
Already choosing between two models?
Use side-by-side compare pages when pricing alone is not enough and you need a final model decision.
Need image generation pricing too?
Pair token cost with image budget planning if your workflow mixes text generation and visual output.

Pick the route that matches your search intent

Most visitors are really trying to answer one of four questions: token math, provider pricing, side-by-side comparison, or a fast 100K budget check.

Aligned to searches like AI token calculator, AI pricing comparison, and 100K tokens cost.

AI token calculator
Stay on this page when you want instant token cost math across models without committing to a provider yet.
AI pricing comparison
Open the pricing hub when you want OpenAI, Claude, Gemini, DeepSeek, and Qwen on one shortlist.
Model comparison
Jump to compare pages when you are down to two models and need a faster final decision.
100K tokens cost
Use a 100K cost page when your only question is budget-per-request and you do not need the full calculator flow.

Popular token pricing shortcuts

Start with the pages that already attract the most pricing and calculator searches, then branch into compare or provider hubs.

Built for high-intent searches like GPT-4o mini pricing, GPT-4o pricing, and Claude token calculator.

GPT-4o mini pricing
Jump straight to the OpenAI calculator with 100K and 1M cost anchors when you need the cheapest mainstream API option.
GPT-4o API pricing
Open the GPT-4o calculator when you want a stronger model and need a quick 100K versus 1M token budget check.
Claude token calculator
Use a Claude-specific calculator when your shortlist is already leaning Anthropic and you want context plus pricing in one step.

DeepSeek and Qwen shortcuts

If your search is closer to DeepSeek pricing, Qwen pricing, or China model API costs, jump straight into the pages that already compare those routes.

Good fit for searches like DeepSeek pricing, Qwen pricing, and China AI model comparison.

DeepSeek vs GPT-4o pricing
Open this when your real question is whether DeepSeek can replace a mainstream OpenAI workflow on price.
Qwen Plus vs GPT-4o mini
Use this shortcut if you are price-shopping a lower-cost production model and want a direct China-vs-OpenAI read.
Browse the full pricing hub
Go broader when you want DeepSeek, Qwen, Claude, Gemini, and OpenAI in one shortlist instead of a single head-to-head.

Quick 100K token cost checks

If your search is really about budget sanity checks, jump straight to cost pages instead of starting with the full calculator.

Good fit for searches like 100K token cost, API budget, and cost per million tokens.

100K GPT-4o mini cost
Open the fastest budget answer when you only need a concrete 100K-token estimate for the cheapest OpenAI route.
100K GPT-4o cost
Use this when the question is budget-first and you want the stronger OpenAI option without opening a full comparison flow.
100K Claude Sonnet cost
Go straight to Anthropic budget math when your search intent is closer to cost per request than to model discovery.

Quick Price Comparison

ModelProviderInput $/1MOutput $/1MContext
Claude Opus 4.6🔥 NEWAnthropic$5.000$25.000200,000
GPT-5.4🔥 NEWOpenAI$2.500$15.0001,050,000
GPT-5.4 Pro🔥 NEWOpenAI$30.000$180.0001,050,000
GPT-5.2🔥 NEWOpenAI$1.750$14.000400,000
Gemini 3 Pro Preview🔥 NEWGoogle$2.000$12.0002,000,000
Claude Sonnet 4.5🔥 NEWAnthropic$3.000$15.000200,000
Claude Haiku 4.5🔥 NEWAnthropic$1.000$5.000200,000
Claude Opus 4.5 (Legacy)🔥 NEWAnthropic$5.000$25.000200,000
Grok 4.1🔥 NEWxAI$0.200$0.5002,000,000
GPT-5.2 Pro🔥 NEWOpenAI$21.000$168.000400,000
GPT-5.1OpenAI$1.250$10.000200,000
GPT-5 miniOpenAI$0.250$2.000200,000
Gemini 2.5 FlashGoogle$0.300$2.5001,000,000
Claude Haiku 3.5Anthropic$0.800$4.000200,000

Showing featured frontier models • Download complete table (CSV) above • Interactive calculator loads below

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Use Cases

Whether it's project launch, model selection, or cost optimization, Token Calculator helps you make accurate decisions

Project Cost Estimation

Project Cost Estimation

Estimate AI API costs before project launch to avoid budget overruns. Input expected user volume and conversation frequency for instant daily/monthly cost projections.

Chatbot cost planningAI customer service budgetSmart document processing fees

Model Comparison & Selection

Model Comparison & Selection

Compare pricing and performance across 20+ mainstream models to find the perfect fit for your project. Filter by price, context window, caching support, and more.

GPT-5 vs Claude Opus 4.1Gemini vs Grok cost-effectivenessSmall vs Large model scenarios

Bill Review & Verification

Bill Review & Verification

Verify API billing accuracy after receiving invoices. Our calculator uses official tokenizers to ensure 99.9% accuracy in token counting.

OpenAI bill verificationAnthropic fee confirmationAbnormal charge investigation

Cost Optimization Strategy

Cost Optimization Strategy

Test different optimization strategies: prompt compression, caching utilization, smaller model alternatives. See cost reduction effects in real-time for data-driven optimization decisions.

Cached Input saves 90%Batch API discount calculationPrompt engineering cost reduction

Start calculating now, optimize your AI project costs

100% free to use, no registration required, all calculations are done locally, data never uploaded

210+ AI models supported
99.9% accuracy
Real-time pricing updates

🆕 Featured Model Calculators

🔥 NEW

Claude Opus 4.6

200K context • $5.00/1M input • Latest Anthropic flagship

Anthropic Flagship
🔥 NEW

GPT-5.4

1.05M context • $2.50/1M input • Latest OpenAI flagship

OpenAI Flagship
PRO

GPT-5.4 Pro

1.05M context • $30.00/1M input • Highest-end OpenAI reasoning tier

OpenAI Premium
HOT

Claude Sonnet 4.5

200K context • $3.00/1M input • Strong coding performance

Anthropic Balanced
⚡

Gemini 3 Pro

1M context • premium Gemini pricing • Frontier Google model

Google Pro
🔥 Opus 4.6 vs GPT-5.4🔥 GPT-5.4 vs GPT-5.4 Pro🔥 GPT-5.4 vs Gemini 3 Pro🔥 GPT-5.4 vs Sonnet 4.5
🔥 Opus 4.6 vs GPT-5.4 Pro🔥 GPT-5.4 vs GPT-5.2🔥 GPT-5.4 vs GPT-5.1🔥 Grok 4.1 vs GPT-5.4
💰 Grok 4.1 vs Gemini 3 Pro💰 100K GPT-5.4 tokens cost💰 100K Haiku 4.5 tokens cost🆚 View all model comparisons
⭐ Best AI Models 2025 Guide💰 Grok 4.1 vs Gemini 3 Pro📚 Browse all calculators🧮 Open interactive calculator
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Frequently Asked Questions

How accurate is the token count compared to actual API billing?
Our calculator achieves 99.9% accuracy by using the exact same tokenizers as the API providers. For OpenAI models, we use the official tiktoken library. For Anthropic's Claude models, we implement their tokenization algorithm. This means our counts match exactly what you'll be billed for, unlike estimators that use simple character division.
What is cached input pricing and how much can it save?
Cached input pricing lets you reuse repeated context (system prompts, instructions, long docs) at a lower rate. Anthropic, OpenAI, Google, and xAI all support caching on key models. Example: Claude Opus 4.6 input is $5/1M tokens, while cached reads are $0.50/1M tokens, a 90% reduction on cached input.
Which AI model offers the best price-to-performance ratio in 2026?
There is no single winner across every workload. In early 2026, Claude Haiku 4.5, GPT-5 mini, and Gemini Flash-class models are common value choices for high-volume apps, while Claude Opus 4.6, GPT-5.4, and GPT-5.4 Pro are premium options for harder reasoning tasks. The best choice depends on latency targets, context length, and output quality requirements.
How do I calculate costs for a production chatbot serving 10,000 users?
Estimate average tokens per conversation first, then multiply by user and session volume. Example: 10,000 users × 2 conversations/day × 1,000 tokens = 20M tokens/day. Convert that into input/output splits (for example 70/30) and apply your model pricing. Use this calculator's requests/day and cached-input toggle to project daily and monthly spend before deployment.
Can I use this calculator for fine-tuned or custom models?
Yes, our calculator supports fine-tuned model pricing. OpenAI's fine-tuned models may differ from base rates. For GPT-4o fine-tuned, we use $3.75/1M input, $15/1M output, and $1.875/1M cached input as defaults. You can also set custom enterprise prices if needed. Tokenization is unchanged, so counts remain accurate.
How often are the model prices updated and verified?
Prices are updated directly from official provider documentation, and each model includes a last-verified date. For major releases or pricing changes, updates are typically shipped the same day. Always double-check enterprise or region-specific pricing in your provider account because contracted rates can differ from public tables.
What's the difference between streaming and batch API pricing?
Streaming and non-streaming usually have the same token pricing. Batch APIs can be cheaper when you don't need immediate responses. For example, OpenAI and Anthropic publish batch discounts on supported models. This calculator shows standard synchronous rates; apply provider-specific batch multipliers when modeling delayed workloads.
How do I optimize token usage to reduce API costs?
Key levers: 1) Cache repeated context blocks. 2) Trim prompts and keep instructions concise. 3) Route easy tasks to cheaper models and reserve premium models for hard cases. 4) Set strict max output limits. 5) Use batch mode for non-real-time jobs. 6) Tune RAG chunking so you send only relevant context. These controls usually cut spend significantly without harming quality.

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