Best AI model for translating content.
Prices checked
Llama 3.2 1B Instruct at Inference costs you 1.3¢ per 1,000 pages, the cheapest of 369 models that can do this job, checked .
Cheapest 10
all 392 models- 1
Llama 3.2 1B Instruct
Runs it themselves
Inference · $0.01 in · $0.01 out1.3¢per 1,000 pages - 2
Llama 3.2 3B Instruct
Runs it themselvesInference · $0.02 in · $0.02 out2.6¢per 1,000 pages - 3
Llama 3.1 8B Instruct
Runs it themselves
Helicone · $0.02 in · $0.03 out3.3¢per 1,000 pages - 4
Mistral Nemo
Lower precision (fp8)
Eden AI · $0.02 in · $0.03 out3.5¢per 1,000 pages - 5
Nemotron 3.5 Lightning
Resells
NanoGPT · $0.05 in · $0.01 out3.7¢per 1,000 pages - 6
gpt-oss-20b
Resells
TrustedRouter · $0.01 in · $0.05 out3.9¢per 1,000 pages - 7
LFM2.5-24B-A2B
Same as makerNanoGPT · $0.05 in · $0.03 out4.8¢per 1,000 pages - 8
Nemotron 3.5 Content Safety
ResellsNanoGPT · $0.05 in · $0.03 out4.8¢per 1,000 pages - 9
Ministral 3 3B
Runs it themselves
Azure Cognitive Services · $0.04 in · $0.04 out5.2¢per 1,000 pages - 10
Ling 3.0 Flash
Same as maker
OpenRouter · $0.02 in · $0.06 out5.7¢per 1,000 pages
Other ways to pick
What matters
- Both prices count
- Translation returns about as much text as it reads, so a model that is cheap on input and dear on output saves you nothing here.
- 32k context for consistency
- Sending a whole page with a glossary keeps names and product terms consistent, which is what re-reads cost you when you send single lines.
- Check your language pair
- Prices are the same for every language; quality is not. Test the pair you actually need before you buy the cheapest row.
How we count
A catalogue, a help centre or a set of subtitles into another language. Roughly as much comes out as goes in, so both prices count equally. We count only models with 32k of context or more, and 369 of the 392 we track qualify. The cheapest of them costs 1.3¢ per 1,000 pages at Inference. They are ranked by what the work costs, not by the price per million tokens, because a model that is cheap to prompt and dear to answer looks different once you know the shape of the job.
A translated page is about 600 tokens in and 700 out. A cost per 1,000 pages is that multiplied out at the row's own input and output rate, so it says what the work costs; the price per million tokens under each name says what the model costs.
A price below the maker's is listed only when the provider says why.
- Runs it themselves
- The provider runs the open weights on hardware of its own, so the price is its own rather than a resale.
- Lower precision
- The open weights, served at a lower precision than the maker's, so not quite the same product.
- Resells
- The provider sells another company's endpoint, at a margin of its own or at the maker's price.
- Same as maker
- Sold by someone else at the price the maker charges.
Frequently asked
- What is the cheapest model for translating content?
- Llama 3.2 1B Instruct at Inference, 1.3¢ per 1,000 pages at $0.01 in and $0.01 out per million tokens, read on 31 Oct 2026.
- How is the cost per unit worked out?
- A translated page is about 600 tokens in and 700 out. Multiply that by 1,000 and price it at each row's own input and output rate. Nothing else is counted: no cache discount, no batch rate, no free tier.
- Why do only 369 models qualify?
- The job needs 32k of context or more. Models that fall short are still in the index, they just cannot do this job as described.
- How current are these prices?
- Prices are read every 3 days from 237 providers' public catalogs and this ranking recomputes with them. Last refresh: 31 Oct 2026.