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.
Gemma Sea Lion V4 27B It
131k context · open weights
$0.30/M tokensCheapest price, at NanoGPT · $0.17 per 1,000 pages
Llama 3.1 70B Instruct
131k context · tool calling · open weights
$0.27/M tokensCheapest 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
Add a third or fourth model, or change the weighting, in the tool.
What moved this week
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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