LFM2.5-2.6B pricing.
Prices checked
LFM2.5-2.6B costs $0.35 in and $0.50 out per million tokens from Liquid; the cheapest price is $0.13 at NanoGPT, checked .
Liquid's own price
Liquid
$0.35 in · $0.50 out
56% below the typical price of the 387 text models we track.
Cheapest price
NanoGPT
$0.10 in · $0.20 out
68% less than Liquid, and the provider says why.
Every provider selling LFM2.5-2.6B
- 1$0.13/M tokens
- 2$0.39/M tokens
- 3$0.39/M tokens
- 4
Liquid
Same as maker$0.35 in · $0.50 out
a new price, being checked$0.39/M tokens
What it costs for your work
A month at Liquid's own price
A month at NanoGPT, the cheapest
What you save
A page is about 600 tokens in and 60 out, a support reply 200 in and 300 out, an email 150 in and 250 out. Nothing else is counted: no cache discount, no batch rate, no free tier.
How we count
Prices are per million tokens. The big number on each row is blended 3 in : 1 out, the way most work uses a model. A price below Liquid's own is listed as cheapest only when the provider says why.
- 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.
Similar models
Models from other labs that do what LFM2.5-2.6B does, cheapest first. Each percentage is against LFM2.5-2.6B's cheapest price, $0.13 per M tokens.
Frequently asked
- Who sells LFM2.5-2.6B cheapest?
- NanoGPT, at $0.10 in and $0.20 out per million tokens, checked 25 Oct 2026. The provider sells another company's endpoint, at a margin of its own or at the maker's price.
- Is LFM2.5-2.6B open weights?
- Yes. Liquid AI publishes the weights, so anyone may host LFM2.5-2.6B, which is why 4 providers sell it and why their prices differ so much.
- How much context does LFM2.5-2.6B hold?
- 128,000 tokens in one call, which is about 128k, and it can call your own functions.
- How does LFM2.5-2.6B compare with the rest of the market?
- At $0.39 per million tokens, Liquid's own price is 56% below the typical $0.88 across the 387 text models we track.
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