Sao10K: Llama 3.1 Euryale 70B v2.2 vs ByteDance: UI-TARS 7B : 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 ByteDance: UI-TARS 7B (bytedance/ui-tars-1.5-7b). 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.
ByteDance: UI-TARS 7B (bytedance/ui-tars-1.5-7b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for ByteDance: UI-TARS 7B : Activate ephemeral prefix caching to slash input costs by 50% (down to $0.05/1M) 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 ByteDance: UI-TARS 7B (API ID: bytedance/ui-tars-1.5-7b), ByteDance: UI-TARS 7B offers lower standard input pricing at $0.1/1M tokens ($0.2/1M output), while ByteDance: UI-TARS 7B leads in cached prefix economics at $0.05/1M 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 | ByteDance: UI-TARS 7B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | sao10k/l3.1-euryale-70b | bytedance/ui-tars-1.5-7b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.85 / $0.85 | $0.1 / $0.2 | ByteDance: UI-TARS 7B |
| Cache Read Price (per 1M) | $0.425/1M (50% Off) | $0.05/1M (50% Off) | ByteDance: UI-TARS 7B |
| Context Window / Max Output | 128K In / 16K Out | 125K In / 2K Out | Sao10K: Llama 3.1 Euryale 70B v2.2 |
| 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).
UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, i
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 ByteDance: UI-TARS 7B
UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, i Verified P90 latency of 280ms.