LFM2.5-2.6B vs Mercury 2

Prices checked

LFM2.5-2.6B and Mercury 2 split the 5 rounds this table counts: the maker's two prices, the cheapest price, the maker's blended price and context. The weighting you pick decides the rest.

Liquid AI

LFM2.5-2.6B

128k context · tool calling · open weights

$0.13/M tokens

Cheapest price, at NanoGPT · 7.2¢ per 1,000 pages

Inception

Mercury 2

128k context · tool calling

$0.38/M tokens

Inception's own price · $0.20 per 1,000 pages

Maker's price in (lower wins)

$0.35/M

$0.25/M

Maker's price out (lower wins)

$0.50/M

$0.75/M

Cheapest price (lower wins)

$0.13/M at NanoGPT

none below the maker

Maker's price, blended (lower wins)

$0.39/M

$0.38/M

Cost per 1,000 pages (lower wins)

7.2¢

$0.20

Context

128k tokens

128k tokens

Open weights

yes

no

Tool calling

yes

yes

Structured output

yes

yes

Reads images

no

no

Reasoning

yes

yes

Released

11 Aug 2026

24 Feb 2026

Providers selling it

4

10

Price we measure against

the maker's own

the maker's own

Trains on your prompts (no is better)

not published

no provider to check

Providers selling both · 3

  • NanoGPT$0.13 / $0.38
  • Kilo Gateway$0.39 / $0.38
  • OpenRouter$0.39 / $0.38

LFM2.5-2.6B, then Mercury 2, per million tokens.

Go further

Add a third or fourth model, or change the weighting, in the tool.

Frequently asked

Which is cheaper, LFM2.5-2.6B or Mercury 2?
LFM2.5-2.6B, at $0.13 per million tokens against $0.38 for Mercury 2, blended 3 in : 1 out, read on 31 Oct 2026.
Where is each one cheapest?
LFM2.5-2.6B: $0.13 at NanoGPT. Mercury 2: nobody sells it below the maker's own price with a stated reason, so $0.38 is the number to beat.
Can I buy both from one provider?
Yes. 3 providers sell both: NanoGPT, Kilo Gateway, OpenRouter. The cheapest of them for the two together is NanoGPT.
Which holds more context?
Both hold 128k tokens in one call.

Prices exclude tax, read 31 Oct 2026 from each provider's own catalog. They are per M tokens, blended 3 in : 1 out, and a page is 600 tokens in and 60 out. Bars are scaled to the larger value in each row.

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