Best AI model for translating content.

prices as of · re-ranked daily · 316 qualifying models

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 316 of the 337 we track qualify. The cheapest of them costs $0.013 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.

The cheapest model that can do this job is Llama 3.2 1B Instruct at Inference: $0.013 per 1,000 pages, read on 16 Sept 2026.

Cheapest that qualifies

Llama 3.2 1B Instruct

Inference

$0.013per 1,000 pages

$0.01 / $0.01 per M tokens · $0.157 at list

lowest cost per 1,000 pages

Cheapest from the maker

Command R7B Arabic

Cohere

$0.128per 1,000 pages

$0.04 / $0.15 per M tokens · $0.128 at list

bought from the lab that trained it

Most context

Muse Spark 1.3 Contributor

NanoGPT

$0.0614per 1,000 pages

$0.10 / $0.002 per M tokens · $0.20 at list

the longest single call on this list

What actually matters here

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.

Cheapest 10 for translating content

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. The price beside it is the standard price, three parts input to one part output per million tokens, so the two numbers answer different questions: $0.04 per million tokens is what the model costs, and $0.013 per 1,000 pages is what the work costs.

Frequently asked

What is the cheapest model for translating content?
Llama 3.2 1B Instruct at Inference, $0.013 per 1,000 pages on $0.01 / $0.01 per million tokens in and out, read on 16 Sept 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 316 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 daily from 212 providers' public catalogs and this ranking recomputes with them. Last refresh: 16 Sept 2026.
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