MiniMax-M2.5 Lightning vs Nemotron 3 Super
Prices checked
Nemotron 3 Super takes 2 of 5 rounds against MiniMax-M2.5 Lightning. It is also the cheaper of the two to run, at $0.10 per million tokens against $0.82.
MiniMax-M2.5 Lightning
205k context · tool calling · open weights
$0.82/M tokensMiniMax's own price · $0.32 per 1,000 pages
Nemotron 3 Super
1M context · tool calling · open weights
$0.10/M tokensCheapest price, at NanoGPT · 4.5¢ per 1,000 pages
Maker's price in (lower wins)
$0.30/M
$0.30/M
Maker's price out (lower wins)
$2.40/M
$2.40/M
Cheapest price (lower wins)
none below the maker
$0.10/M at NanoGPT
Maker's price, blended (lower wins)
$0.82/M
$0.82/M
Cost per 1,000 pages (lower wins)
$0.32
4.5¢
Context
205k tokens
1M tokens
Open weights
yes
yes
Tool calling
yes
yes
Structured output
no
yes
Reads images
no
no
Reasoning
yes
yes
Released
13 Feb 2026
11 Mar 2026
Providers selling it
3
17
Price we measure against
the maker's own
OpenRouter
Trains on your prompts (no is better)
no provider to check
not published
Providers selling both · 0
No provider we read sells both, so running the two means two accounts.
Go further
Add a third or fourth model, or change the weighting, in the tool.
What moved this week
Nous Portal · 378% dearer · $0.30 / $2.40 8¢ / $0.45
Eden AI · 205% dearer · $0.40 / $0.80 8.5¢ / $0.40
Frequently asked
- Which is cheaper, MiniMax-M2.5 Lightning or Nemotron 3 Super?
- Nemotron 3 Super, at $0.10 per million tokens against $0.82 for MiniMax-M2.5 Lightning, blended 3 in : 1 out, read on 31 Oct 2026.
- Where is each one cheapest?
- MiniMax-M2.5 Lightning: nobody sells it below the maker's own price with a stated reason, so $0.82 is the number to beat. Nemotron 3 Super: $0.10 at NanoGPT.
- Can I buy both from one provider?
- No provider we read sells both, so running the two means two accounts and two bills.
- Which holds more context?
- Nemotron 3 Super, at 1M tokens against 205k.
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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