Sao10K: Llama 3.1 Euryale 70B v2.2 vs Pareto 26.10: Live Promos, Pricing, Hidden Fees & 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.
Pareto 26.10 (unbiased/pareto-26.10) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Pareto 26.10: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.4/1M) 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 Pareto 26.10 (API ID: unbiased/pareto-26.10), Pareto 26.10 offers lower standard input pricing at $0.8/1M tokens ($3.2/1M output), while Pareto 26.10 leads in cached prefix economics at $0.4/1M 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 | Pareto 26.10 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | sao10k/l3.1-euryale-70b | unbiased/pareto-26.10 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.85 / $0.85 | $0.8 / $3.2 | Pareto 26.10 |
| Cache Read Price (per 1M) | $0.425/1M (50% Off) | $0.4/1M (50% Off) | Pareto 26.10 |
| Context Window / Max Output | 128K In / 16K Out | 1024K In / 128K Out | Pareto 26.10 |
| 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).
Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.
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 Pareto 26.10
Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks. Verified P90 latency of 280ms.