Ling 3.0 Tiny vs Nex N2.5 Mini
Prices checked
Ling 3.0 Tiny takes 3 of 5 rounds against Nex N2.5 Mini. It is also the cheaper of the two to run, at $0.02 per million tokens against $0.04.
Ling 3.0 Tiny
262k context · tool calling · open weights
$0.02/M tokensOpenRouter's own price · 1.2¢ per 1,000 pages
Nex N2.5 Mini
262k context · reads images · open weights
$0.04/M tokensNex AGI's own price · 2.1¢ per 1,000 pages
Maker's price in (lower wins)
$0.01/M
$0.03/M
Maker's price out (lower wins)
$0.04/M
$0.10/M
Cheapest price (lower wins)
none below the maker
none below the maker
Maker's price, blended (lower wins)
$0.02/M
$0.04/M
Cost per 1,000 pages (lower wins)
1.2¢
2.1¢
Context
262k tokens
262k tokens
Open weights
yes
yes
Tool calling
yes
no
Structured output
yes
yes
Reads images
no
yes
Reasoning
yes
yes
Released
6 Aug 2026
8 Sept 2026
Providers selling it
5
4
Price we measure against
OpenRouter
the maker's own
Trains on your prompts (no is better)
no provider to check
no provider to check
Providers selling both · 3
NanoGPT$0.02 / $0.02
Kilo Gateway$0.02 / $0.04
OpenRouter$0.02 / $0.04
Ling 3.0 Tiny, then Nex N2.5 Mini, per million tokens.
Go further
Add a third or fourth model, or change the weighting, in the tool.
Frequently asked
- Which is cheaper, Ling 3.0 Tiny or Nex N2.5 Mini?
- Ling 3.0 Tiny, at $0.02 per million tokens against $0.04 for Nex N2.5 Mini, blended 3 in : 1 out, read on 7 Nov 2026.
- Where is each one cheapest?
- Ling 3.0 Tiny: nobody sells it below OpenRouter's own price with a stated reason, so $0.02 is the number to beat. Nex N2.5 Mini: nobody sells it below the maker's own price with a stated reason, so $0.04 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 262k tokens in one call.
Prices exclude tax, read 7 Nov 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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