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What does the AI API really cost per month?

Official prices for OpenAI, Anthropic, Google and DeepSeek, applied to your volume, your document sizes, and your language. No email required.

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documents processed, conversations, summaries, extractions

prompt plus the document or conversation the model reads

what the model writes back

  • gpt-6-luna

    OpenAI · Budget

    cheapest

    $2.56/mo

    Input $0.10 · Output $0.50 /M tokens

    Short-context rate

  • DeepSeek V4.1 Flash

    DeepSeek · Budget

    $6.72/mo

    Input $0.30 · Output $1.20 /M tokens

    Peak-hour rate; off-peak is 50% less

  • Gemini 3.1 Flash-Lite

    Google · Budget

    $7.20/mo

    Input $0.25 · Output $1.50 /M tokens

    Text/image/video input; shutdown scheduled May 7, 2027

  • Gemini 3.5 Flash-Lite

    Google · Budget

    $11/mo

    Input $0.30 · Output $2.50 /M tokens

  • Gemini 3.8 Flash

    Google · Mid tier

    $19/mo

    Input $0.75 · Output $3.75 /M tokens

    Rate through Dec 31, 2026; $1.50 / $7.50 from Jan 1, 2027

  • gpt-5.4-mini

    OpenAI · Budget

    $22/mo

    Input $0.75 · Output $4.50 /M tokens

    Previous generation

  • DeepSeek V4 Pro

    DeepSeek · Mid tier

    $25/mo

    Input $1.32 · Output $3.96 /M tokens

    Peak-hour rate; off-peak is 50% less

  • Claude Haiku 4.5

    Anthropic · Budget

    $26/mo

    Input $1.00 · Output $5.00 /M tokens

  • gpt-6.1-sol

    OpenAI · Mid tier

    $51/mo

    Input $2.00 · Output $10.00 /M tokens

    Short-context rate

  • Gemini 3.1 Pro Preview

    Google · Flagship

    $58/mo

    Input $2.00 · Output $12.00 /M tokens

    Prompts up to 200K tokens

  • Claude Sonnet 5.5

    Anthropic · Mid tier

    $67/mo

    Input $2.00 · Output $10.00 /M tokens

  • gpt-5.6-sol

    OpenAI · Mid tier

    $102/mo

    Input $4.00 · Output $20.00 /M tokens

    Promotional short-context rate at least through Nov 21, 2026

  • Claude Opus 5.5

    Anthropic · Mid tier

    $133/mo

    Input $4.00 · Output $20.00 /M tokens

  • gpt-5.5

    OpenAI · Mid tier

    $144/mo

    Input $5.00 · Output $30.00 /M tokens

    Previous generation, under 272K context

  • gpt-6-astra

    OpenAI · Flagship

    $256/mo

    Input $10.00 · Output $50.00 /M tokens

    Short-context rate

  • Claude Fable 5.1

    Anthropic · Flagship

    $333/mo

    Input $10.00 · Output $50.00 /M tokens

Official standard-tier list prices in USD per 1M tokens, each read from the provider's own pricing page on the date shown: OpenAI 2026-09-30, Anthropic 2026-09-30, Google 2026-09-30, DeepSeek 2026-09-30. Claude Fable 5.1, Opus 5.5 and Sonnet 5.5 use a newer tokenizer that produces roughly 30% more tokens for the same text (per Anthropic's pricing page); the estimate accounts for it.

Token prices are only one line of the bill. Want to know what a specific workflow would cost to run in production? Take the Workflow Fit Check.

Sources

Every price on this page was read from the provider's own official pricing page, standard tier, on 2026-09-30. NVIDIA Nemotron is excluded because build.nvidia.com publishes no per-token price: its hosted catalog is a free prototyping tier and production runs self-hosted under NVIDIA AI Enterprise.

Assumptions & exclusions

  • List prices in USD per 1M tokens, standard paid tier of each provider's first-party API. Taxes (VAT/sales tax) are excluded.
  • Excludes batch, flex, committed-volume and promotional discounts, and surcharges for fast/priority modes, data residency or regional endpoints.
  • Excludes prompt caching (reads or writes), fine-tuning, embeddings, audio, image and video.
  • Excludes tool fees: web search, grounding, code execution, file storage and other tool calls.
  • Uses the short-context rate where the provider distinguishes (OpenAI, Gemini Pro up to 200K). DeepSeek is priced at its peak-hour rate; off-peak is half.
  • Reasoning ("thinking") tokens are billed as output and are not estimated here: on reasoning models real output cost can be higher.
  • Tokens are estimated from words (~1.33 per English word, ~1.6 per Spanish word, +30% for the Claude models on the newer tokenizer). This is an approximation: actual counts depend on the text and the model.
  • Rate limits, quotas and regional availability are not modeled. Prices change: confirm with the provider before budgeting.

Word-to-token conversion uses ~1.33 tokens per English word (the 4-characters heuristic both OpenAI and Anthropic publish) and ~1.6 for Spanish, based on tokenization fairness research. If what you actually need is the cost of implementing AI end to end, that is a different number: see the full implementation pricing guide, the AI agent cost breakdown, and how to budget the year-one project.

Common questions

How much does the AI (LLM) API cost per month for a company?

It depends on three numbers: tasks per month, words the model reads per task, and words it writes. As a reference, 10,000 monthly tasks reading 600 words and writing 200 in Spanish cost from a few dollars per month on budget models (gpt-6-luna, Gemini Flash-Lite, DeepSeek V4.1 Flash) to a few hundred on flagships. The calculator above computes it with official list prices.

Why does Spanish cost more tokens than English?

Tokenizers were trained mostly on English, so Spanish splits into more pieces: roughly 1.5 to 1.7 tokens per word versus about 1.33 in English (Petrov et al., NeurIPS 2023). The same document in Spanish can cost 15 to 25 percent more.

Is the API the main cost of implementing AI?

Almost never. For a production agent, model tokens are usually a small fraction of the total: the real costs are integration engineering, evaluation, and day-two operation. Our full pricing guide breaks down what an implementation actually costs.

Which AI model is cheapest in 2026?

Among the official APIs on this page, gpt-6-luna ($0.10 in / $0.50 out per million tokens) and Gemini 3.1 Flash-Lite ($0.25 / $1.50) are the cheapest published standard tiers as of September 30, 2026; DeepSeek V4.1 Flash is $0.30 / $1.20 at peak hours and half that off-peak. Cheapest is not always best: accuracy on your real cases decides the true cost.

Turn the number into a decision

The ranges on this page are the market. A 10-day validation on one of your workflows turns them into a fixed-scope quote — or tells you to wait.