DeepSeek V3.2 Exp vs Saba

Prices checked

DeepSeek V3.2 Exp takes 3 of 5 rounds against Saba. It is also the cheaper of the two to run, at $0.25 per million tokens against $0.30.

DeepSeekWins 3 rounds

DeepSeek V3.2 Exp

164k context · tool calling · open weights

$0.25/M tokens

Cheapest price, at ZenMux · $0.15 per 1,000 pages

Mistral AI

Saba

33k context · tool calling

$0.30/M tokens

Mistral AI's own price · $0.16 per 1,000 pages

Maker's price in (lower wins)

$0.27/M

$0.20/M

Maker's price out (lower wins)

$0.41/M

$0.60/M

Cheapest price (lower wins)

$0.25/M at ZenMux

none below the maker

Maker's price, blended (lower wins)

$0.30/M

$0.30/M

Cost per 1,000 pages (lower wins)

$0.15

$0.16

Context

164k tokens

33k tokens

Open weights

yes

not published

Tool calling

yes

yes

Structured output

yes

yes

Reads images

no

no

Reasoning

yes

no

Released

29 Sept 2025

17 Feb 2025

Providers selling it

12

6

Price we measure against

OpenRouter

the maker's own

Trains on your prompts (no is better)

not published

no provider to check

Providers selling both · 4

  • Kilo Gateway$0.30 / $0.30
  • Nous Portal$0.30 / $0.30
  • OpenRouter$0.30 / $0.30
  • NanoGPT$0.32 / $0.30

DeepSeek V3.2 Exp, then Saba, per million tokens.

Go further

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

Frequently asked

Which is cheaper, DeepSeek V3.2 Exp or Saba?
DeepSeek V3.2 Exp, at $0.25 per million tokens against $0.30 for Saba, blended 3 in : 1 out, read on 31 Oct 2026.
Where is each one cheapest?
DeepSeek V3.2 Exp: $0.25 at ZenMux. Saba: nobody sells it below the maker's own price with a stated reason, so $0.30 is the number to beat.
Can I buy both from one provider?
Yes. 4 providers sell both: Kilo Gateway, Nous Portal, OpenRouter, NanoGPT. The cheapest of them for the two together is Kilo Gateway.
Which holds more context?
DeepSeek V3.2 Exp, at 164k tokens against 33k.

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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