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sao10k

Sao10K: Llama 3.1 Euryale 70B v2.2 API Pricing

Sao10K: Llama 3.1 Euryale 70B v2.2 costs $0.850 per 1M input tokens and $0.850 per 1M output tokens. Context window: 131K. Prices verified 2026-10-21 · source

🔔 Price alerts coming soon

Alternatives to consider

🏠 Same provider
Sao10K: Llama 3 8B Lunaris
$0.040 in / $0.050 out

Cheapest sao10k model — 95% less per month

Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
492
HF downloads
70
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.850
Output / 1M tokens
$0.850
Context window
131K
Max output
16K
Knowledge cutoff
2023-12-31

Training data ends here — newer events require retrieval or web search.

What would Sao10K: Llama 3.1 Euryale 70B v2.2 cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$10.20
Coding agent5,0008,000 / 2,000$42.50
RAG pipeline30,0004,000 / 500$114.75
Doc summarizer2,00020,000 / 1,000$35.70

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Sao10K: Llama 3.1 Euryale 70B v2.2

Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao10k/l3-euryale-70b).

Compare Sao10K: Llama 3.1 Euryale 70B v2.2 with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does Sao10K: Llama 3.1 Euryale 70B v2.2 cost?

Sao10K: Llama 3.1 Euryale 70B v2.2 costs $0.850 per 1M input tokens and $0.850 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

131K tokens, with up to 16K output tokens per response. That's roughly 164 pages of text in a single request.

Does it support prompt caching?

Prompt-caching pricing is not published for this model via OpenRouter.

What's a cheaper alternative?

ScaleDown: Summarize saves about 97% on a typical workload with comparable quality.

Official resources