Best AI model for writing and editing copy.
Prices checked
Llama 3.2 1B Instruct at Inference costs you 1.2¢ per 1,000 pieces, 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 out1.2¢per 1,000 pieces - 2
Llama 3.2 3B Instruct
Runs it themselvesInference · $0.02 in · $0.02 out2.4¢per 1,000 pieces - 3
Nemotron 3.5 Lightning
Resells
NanoGPT · $0.05 in · $0.01 out2.8¢per 1,000 pieces - 4
Llama 3.1 8B Instruct
Runs it themselves
Helicone · $0.02 in · $0.03 out3.2¢per 1,000 pieces - 5
Mistral Nemo
Lower precision (fp8)
Eden AI · $0.02 in · $0.03 out3.3¢per 1,000 pieces - 6
LFM2.5-24B-A2B
Same as makerNanoGPT · $0.05 in · $0.03 out4¢per 1,000 pieces - 7
Nemotron 3.5 Content Safety
ResellsNanoGPT · $0.05 in · $0.03 out4¢per 1,000 pieces - 8
Muse Spark 1.3 Contributor
Same as makerNanoGPT · $0.10 in · 0.2¢ out4.2¢per 1,000 pieces - 9
Muse Spark 1.2 Contributor
Same as makerNanoGPT · $0.10 in · 0.2¢ out4.2¢per 1,000 pieces - 10
gpt-oss-20b
Resells
TrustedRouter · $0.01 in · $0.05 out4.2¢per 1,000 pieces
Other ways to pick
What matters
- Output price decides it
- Twice as many tokens come out as go in, so a model with a low output price beats one that is only cheap to prompt.
- 32k context for the brief
- A brief, a style guide and a few examples of your own voice fit in 32k tokens with room to spare.
- Try two before you commit
- Writing is the job where models differ most in ways a price cannot show. The cheap ones here are cheap enough to test side by side.
How we count
Product descriptions, newsletters, ad variants. A brief and a house style go in, finished prose comes out, and the output is the long half. We count only models with 32k of context or more, and 369 of the 392 we track qualify. The cheapest of them costs 1.2¢ per 1,000 pieces 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 piece of copy is about 400 tokens in and 800 out. A cost per 1,000 pieces 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.
- Resells
- The provider sells another company's endpoint, at a margin of its own or at the maker's price.
- Lower precision
- The open weights, served at a lower precision than the maker's, so not quite the same product.
- Same as maker
- Sold by someone else at the price the maker charges.
Frequently asked
- What is the cheapest model for writing and editing copy?
- Llama 3.2 1B Instruct at Inference, 1.2¢ per 1,000 pieces 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 piece of copy is about 400 tokens in and 800 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.