Sao10K: Llama 3.1 Euryale 70B v2.2 vs Meta: Llama 3.3 70B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Sao10K: Llama 3.1 Euryale 70B v2.2 (sao10k/l3.1-euryale-70b) vs Meta: Llama 3.3 70B Instruct (meta-llama/llama-3.3-70b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Sao10K: Llama 3.1 Euryale 70B v2.2 (sao10k/l3.1-euryale-70b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Sao10K: Llama 3.1 Euryale 70B v2.2: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.425/1M) or route via asynchronous Batch API for 50% off standard token rates.
Meta: Llama 3.3 70B Instruct (meta-llama/llama-3.3-70b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Llama 3.3 70B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.295/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Sao10K: Llama 3.1 Euryale 70B v2.2 (API ID: sao10k/l3.1-euryale-70b) vs Meta: Llama 3.3 70B Instruct (API ID: meta-llama/llama-3.3-70b-instruct), Meta: Llama 3.3 70B Instruct offers lower standard input pricing at $0.59/1M tokens ($0.79/1M output), while Meta: Llama 3.3 70B Instruct leads in cached prefix economics at $0.295/1M tokens (50% discount). Sao10K: Llama 3.1 Euryale 70B v2.2 achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Sao10K: Llama 3.1 Euryale 70B v2.2 | Meta: Llama 3.3 70B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | sao10k/l3.1-euryale-70b | meta-llama/llama-3.3-70b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.85 / $0.85 | $0.59 / $0.79 | Meta: Llama 3.3 70B Instruct |
| Cache Read Price (per 1M) | $0.425/1M (50% Off) | $0.295/1M (50% Off) | Meta: Llama 3.3 70B Instruct |
| Context Window / Max Output | 128K In / 16K Out | 128K In / 32K Out | Meta: Llama 3.3 70B Instruct |
| P90 First-Token / Edge Latency | 280ms | 280ms | Sao10K: Llama 3.1 Euryale 70B v2.2 (-0ms) |
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).
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text on
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from Sao10K: Llama 3.1 Euryale 70B v2.2 to Meta: Llama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text on Verified P90 latency of 280ms.