Gemma Sea Lion V4 27B It vs Llama 3.1 70B Instruct

Prices checked

Llama 3.1 70B Instruct takes 3 of 5 rounds against Gemma Sea Lion V4 27B It. It is also the cheaper of the two to run, at $0.27 per million tokens against $0.30.

AI Singapore

Gemma Sea Lion V4 27B It

131k context · open weights

$0.30/M tokens

Cheapest price, at NanoGPT · $0.17 per 1,000 pages

MetaWins 3 rounds

Llama 3.1 70B Instruct

131k context · tool calling · open weights

$0.27/M tokens

Cheapest price, at Requesty · $0.16 per 1,000 pages

Maker's price in (lower wins)

$0.35/M

$0.40/M

Maker's price out (lower wins)

$0.56/M

$0.40/M

Cheapest price (lower wins)

$0.30/M at NanoGPT

$0.27/M at Requesty

Maker's price, blended (lower wins)

$0.40/M

$0.40/M

Cost per 1,000 pages (lower wins)

$0.17

$0.16

Context

131k tokens

131k tokens

Open weights

yes

yes

Tool calling

no

yes

Structured output

no

yes

Reads images

no

no

Reasoning

no

no

Released

23 Sept 2025

23 Jul 2024

Providers selling it

6

17

Price we measure against

Cloudflare Workers AI

OpenRouter

Trains on your prompts (no is better)

not published

not published

Providers selling both · 2

  • Eden AI$0.40 / $0.40
  • TrustedRouter$0.42 / $0.42

Gemma Sea Lion V4 27B It, then Llama 3.1 70B Instruct, per million tokens.

Go further

What moved this week

  1. Llama 3.1 70B Instruct

    Featherless · 75% cheaper ·

    $0.72 / $0.72 $2.88 / $2.88

Frequently asked

Which is cheaper, Gemma Sea Lion V4 27B It or Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct, at $0.27 per million tokens against $0.30 for Gemma Sea Lion V4 27B It, blended 3 in : 1 out, read on 21 Oct 2026.
Where is each one cheapest?
Gemma Sea Lion V4 27B It: $0.30 at NanoGPT. Llama 3.1 70B Instruct: $0.27 at Requesty.
Can I buy both from one provider?
Yes. 2 providers sell both: Eden AI, TrustedRouter. The cheapest of them for the two together is Eden AI.
Which holds more context?
Both hold 131k tokens in one call.

Prices exclude tax, read 21 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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