--- title: "Sao10K: Llama 3.1 Euryale 70B v2.2 — unrated, priced in this catalogue · Undominated.ai" canonical: https://undominated.ai/models/sao10k__l3.1-euryale-70b/ description: "Sao10K: Llama 3.1 Euryale 70B v2.2: $0.850/M in, $0.850/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero." --- # Sao10K: Llama 3.1 Euryale 70B v2.2 — unrated, priced in this catalogue · Undominated.ai > Sao10K: Llama 3.1 Euryale 70B v2.2: $0.850/M in, $0.850/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero. [Check base rates for this workload](/check/sao10k__l3.1-euryale-70b/) [Cheaper alternatives](/alternatives/) [Family](/families/euryale/) [Compare models](https://undominated.ai/compare/?models=sao10k%2Fl3.1-euryale-70b) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # Llama 3.1 Euryale 70B v2.2 Sao10k · 28 Aug 2024 Balanced Summarise Chat Code gen Agentic NOT INDEPENDENTLY RATED ## No independent LMArena score is published for this model. **$0.850** / 1M tokens Balanced · 3 tokens in per 1 out Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) Independent LMArena score Not independently rated Context window 131.07K Maximum output 16.38K Input modalities text Output modalities text Published input price $0.850 / 1M tokens Published output price $0.850 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from DeepInfra: the cheapest offer that is serving, at standard delivery and at a declared precision that is not 4-bit (fp8), at its standard rate. The maker’s own precision is not known. Every price dimension · USD per million tokens | Input | $0.850 /M | | --- | --- | | Output | $0.850 /M | | Cached input | Unknown /M | | Cache write | Unknown /M | | Cache write 1h | Unknown /M | | Reasoning | Unknown /M | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. 2 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller DeepInfra deepinfra/fp8 Endpoint terms Cached input /M Unknown Context limit 131,072 tokens Output limit 16,384 tokens Tools Not listed by endpoint Reasoning Not listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.850 | Output $0.850 | Precision fp8 | Uptime (1d) 99.95% | | Seller Novita novita/fp8 Endpoint terms Cached input /M Unknown Context limit 8,192 tokens Output limit 7,372 tokens Tools Listed by endpoint Reasoning Not listed by endpoint Promotional discount 2% · already included in these rates Uptime · last 30 minutes Unknown | Input $1.45 | Output $1.45 | Precision fp8 | Uptime (1d) 99.87% | ### Independent scores No independent benchmark has measured this model. Unrated is not a score of zero. ### Capability | Context window | 131K | | --- | --- | | Max output | 16K | | Input modes | text | | Tool use | yes | | Reasoning | no | | Knowledge cutoff | 2023-12-31 | | Open weights | Unknown | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | unrated | 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). ## Questions this page answers What does Llama 3.1 Euryale 70B v2.2 cost? $0.850/M in, $0.850/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does Llama 3.1 Euryale 70B v2.2 have an independent quality score? Llama 3.1 Euryale 70B v2.2 has no independent quality score in this catalogue. Unrated is not a score of zero. What beats Llama 3.1 Euryale 70B v2.2? Llama 3.1 Euryale 70B v2.2 has no independent quality score. Unrated is not a score of zero. Does this page use Artificial Analysis scores for Llama 3.1 Euryale 70B v2.2? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. Does a missing score mean Llama 3.1 Euryale 70B v2.2 scored zero? Unrated is not a score of zero. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options Sao10K: Llama 3.1 Euryale 70B v2.2. Balanced workload. Not independently rated. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related No independent quality score, so there is no dominator to name. Unrated is not a clean bill of health. - Same vendor [Llama 3 8B Lunaris](/models/sao10k__l3-lunaris-8b/) - Sao10k models [Sao10k](/providers/sao10k/) - Where this model appears [spreads](/spreads/) - Same vendor [Llama 3.3 Euryale 70B](/models/sao10k__l3.3-euryale-70b/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![Llama 3.1 Euryale 70B v2.2 — Undominated.ai dominance verdict](https://undominated.ai/badge/sao10k__l3.1-euryale-70b.svg)](https://undominated.ai/models/sao10k__l3.1-euryale-70b/) HTML Copy Llama 3.1 Euryale 70B v2.2 — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/sao10k__l3.1-euryale-70b.svg](https://undominated.ai/badge/sao10k__l3.1-euryale-70b.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)