Cydonia 24B V4.1 vs Mercury 2.5
Prices checked
Mercury 2.5 takes 4 of 5 rounds against Cydonia 24B V4.1. It is also the cheaper of the two to run, at $0.07 per million tokens against $0.35.
Cydonia 24B V4.1
131k context · open weights
$0.35/M tokensOpenRouter's own price · $0.21 per 1,000 pages
InceptionWins 4 roundsMercury 2.5
260k context · tool calling
$0.07/M tokensCheapest price, at Nous Portal · 3.3¢ per 1,000 pages
Maker's price in (lower wins)
$0.30/M
$0.20/M
Maker's price out (lower wins)
$0.50/M
$0.75/M
Cheapest price (lower wins)
none below the maker
$0.07/M at Nous Portal
Maker's price, blended (lower wins)
$0.35/M
$0.34/M
Cost per 1,000 pages (lower wins)
$0.21
3.3¢
Context
131k tokens
260k tokens
Open weights
yes
no
Tool calling
no
yes
Structured output
yes
yes
Reads images
no
no
Reasoning
no
yes
Released
27 Sept 2025
8 Sept 2026
Providers selling it
8
10
Price we measure against
OpenRouter
the maker's own
Trains on your prompts (no is better)
no provider to check
not published
Providers selling both · 2
Kilo Gateway$0.35 / $0.34- AI/ML API$0.37 / $0.36
Cydonia 24B V4.1, then Mercury 2.5, per million tokens.
Go further
Add a third or fourth model, or change the weighting, in the tool.
What moved this week
NanoGPT · 13% cheaper · $0.30 / $0.15 $0.35 / $0.16
Frequently asked
- Which is cheaper, Cydonia 24B V4.1 or Mercury 2.5?
- Mercury 2.5, at $0.07 per million tokens against $0.35 for Cydonia 24B V4.1, blended 3 in : 1 out, read on 31 Oct 2026.
- Where is each one cheapest?
- Cydonia 24B V4.1: nobody sells it below OpenRouter's own price with a stated reason, so $0.35 is the number to beat. Mercury 2.5: $0.07 at Nous Portal.
- Can I buy both from one provider?
- Yes. 2 providers sell both: Kilo Gateway, AI/ML API. The cheapest of them for the two together is Kilo Gateway.
- Which holds more context?
- Mercury 2.5, at 260k tokens against 131k.
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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