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Free-tier break-even: Translating one language at under 500,000 characters/month, Google Cloud Translation's free tier alone covers you — $0, indefinitely, no expiry. Amazon Translate and Azure Translator are even more generous (2M chars/month free), but Amazon's free tier only lasts your account's first 12 months. Above those thresholds — or the moment you add a second target language — you're into paid territory on every provider, so check the table below against your real monthly volume after multiplying by language count.

Providers ranked by monthly cost

Dedicated machine-translation APIs bill per character; LLM rows convert characters to tokens (≈4 chars/token, input + translated output) and price accordingly.

#ProviderPer 1M charsMonthlyFree tier
⚠️ Estimate. Machine-translation list rates are typical 2026 figures and change with region, volume tiers and document vs text endpoints. LLM figures assume ≈4 characters per token and that the translation output is roughly the same length as the input — real cost varies by language pair and model. LLMs also lack the glossary, formality and formatting guarantees of dedicated MT. Verify current pricing with each provider. · Report outdated price →

Translation is priced by the character — and the range is wide

Unlike most APIs, machine translation bills on characters processed, not requests or tokens. That makes cost easy to forecast: it's just your monthly character volume times a per-character rate. The catch is how much that rate varies. Azure Translator's standard tier sits near $10 per million characters, Amazon Translate around $15, and Google Cloud Translation about $20. DeepL is a different shape entirely since its July 2026 pricing overhaul: instead of a flat per-character rate, the Growth plan is a $26/month subscription covering roughly 1 million characters, with overage at $27.50 per additional million — so DeepL now costs you $26/month even at low volume, unlike the pure pay-as-you-go competitors. DeepL still commands the premium on translation quality for European languages; the AWS/Azure/Google options win on price and on being inside a cloud you already use.

The LLM disruption

Small LLMs upended this market. Because they bill by token and a character is a fraction of a token, translating with GPT-4o mini or Gemini Flash can cost well under $1 per million characters — often 10–50× cheaper than dedicated MT. For high-volume, informal content — user reviews, chat, product descriptions — that difference is enormous, and the LLM can adjust tone or summarize in the same call. What you give up is consistency and the professional features MT was built for: glossaries to lock brand terms, formality control, document-format preservation, and predictable quality across obscure language pairs. The honest answer for many teams is both: LLM for bulk casual text, dedicated MT for anything formal or legal.

Free tiers cover more than you'd think

Before paying anyone, check the free allowances. Google gives 500,000 characters/month with no expiry, Azure's F0 tier 2 million/month, and Amazon Translate 2 million/month for the first year. A small app localizing its own UI or a modest content flow can sit entirely inside the free tier indefinitely on any of those three. DeepL no longer fits this pattern: since its July 2026 restructuring, the free "Developer" plan is a one-time 1 million character allowance, not a monthly one — once it's used, ongoing access requires the $26/month Growth plan, which itself bundles roughly 1 million characters/month before the $27.50/1M overage kicks in. Toggle "Apply free tiers" above to see which providers charge you nothing at your volume. When translation is one piece of a larger pipeline, roll it into the API stack cost calculator, and if you're using an LLM, size the token side with the LLM token cost calculator.

The most common costing mistake: forgetting to multiply by language count

The single biggest error teams make when budgeting a translation API is pricing one language pair and assuming that's the whole bill. It isn't. If you're localizing a product into 5 languages, the API translates the source text 5 separate times — once per target language — and every provider on this page bills per character per target language, not per source document. A 1-million-character document translated into 5 languages is 5 million billable characters, not 1 million. Skip this multiplication and your actual invoice comes in at 5× (or 10×, or 20×) whatever you estimated. Use the "Target languages" field above to build the multiplier into the estimate instead of doing the math by hand — and remember it applies identically whether you're using dedicated MT or an LLM as the translator.

How to use it

1. Pick your unit — characters, words, or pages — and enter the monthly volume per language.
2. Enter how many target languages you're translating into — the calculator multiplies volume by this number automatically.
3. Choose whether to apply each provider's free tier.
4. Read the cheapest option overall, the cheapest dedicated MT, and the cost per million characters.

Common mistakes

Forgetting to multiply by language count. The most expensive mistake — translating into 5 languages is 5× the billable characters, not 1×. Counting words, billing characters. MT charges per character, so a 500-word page is ~3,000 characters — the calculator converts for you. Ignoring the output side on LLMs. You pay for both the source text in and the translation out; this tool counts both. Missing free tiers. At low volume the right answer is often "$0" — don't pay for what a free tier covers. Assuming LLM quality equals MT. Test your actual language pairs before switching formal content to an LLM.

Estimate only. Prices are reference figures for 2026 and change — verify current per-character rates with each provider before committing.

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