Estimate token counts and API costs for GPT-4o, Claude, DeepSeek, Gemini, Mistral, and more. Supports multilingual text, batch API discounts, and context window sizes. Plan your AI budget before you build.
Select a model and enter your usage details
This AI token calculator covers how AI providers like OpenAI, Anthropic, Google, DeepSeek, and Mistral bill API usage by the token, not by the request — so the same feature can cost wildly different amounts depending on the model you pick. Acting as an all-in-one API token estimator and LLM cost calculator, it estimates your token usage and projected AI API cost for 2026 across 15 models, including GPT-4o token cost, o1 token cost, Claude token calculator figures for Claude Sonnet, DeepSeek V3 pricing, DeepSeek R1 cost, Mistral Large pricing, and more — so you can budget an AI feature before you build it, and compare OpenAI pricing against Anthropic pricing side by side at the same volume.
Select a model, paste a sample prompt (or use the default), and set your expected output length and daily call volume. The calculator estimates input tokens from your prompt text using an approximate characters-per-token ratio, adjusted by a language multiplier for a multilingual token estimate, since non-English text — especially Japanese, Chinese, Korean, and Arabic — tends to use more tokens per character than English. It then multiplies input and output tokens by each model's per-million-token pricing — whether that's GPT-4o token cost, o1 token cost, DeepSeek V3 pricing, DeepSeek R1 cost, or Mistral Large pricing — optionally applying the 50% batch API discount that OpenAI and Anthropic offer for asynchronous requests, and rolls the result up into per-call, daily, monthly, and annual cost estimates.
Output tokens typically cost several times more than input tokens, and context window size, model choice, and caching strategy can change your bill by an order of magnitude. Estimating your AI API cost for 2026 up front helps you choose the right model for a task — a cheap, fast model for simple classification versus a frontier model for complex reasoning — before committing to an architecture at scale, whether you're comparing OpenAI pricing, Anthropic pricing, or a DeepSeek token cost alternative.
Tokens are chunks of text — roughly 3–4 characters or 0.75 words in English. "Hello world!" ≈ 3 tokens. Non-English text uses more tokens per character: Japanese/Chinese ~1–2 chars/token, Arabic/Korean ~2–3 chars/token, Hindi ~1.5× English. Always use the provider's tokenizer API for accurate billing estimates.
Most providers charge separately for input tokens (your prompt + context) and output tokens (the model's response). Output tokens typically cost 3-5× more than input tokens. Minimizing output length (e.g., using structured JSON, bullet points) reduces costs significantly.
Use smaller models for simple tasks (GPT-4o mini, Claude Haiku). Cache repeated system prompts where supported. Use streaming to detect early completion. Compress context with summarization. Monitor actual token usage with provider dashboards.
Common questions about AI Token calculations
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