Sao10K: Llama 3.3 Euryale 70B vs Xiaomi: MiMo-V2.5: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Sao10K: Llama 3.3 Euryale 70B (sao10k/l3.3-euryale-70b) vs Xiaomi: MiMo-V2.5 (xiaomi/mimo-v2.5). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Sao10K: Llama 3.3 Euryale 70B (sao10k/l3.3-euryale-70b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Sao10K: Llama 3.3 Euryale 70B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.325/1M) or route via asynchronous Batch API for 50% off standard token rates.
Xiaomi: MiMo-V2.5 (xiaomi/mimo-v2.5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Xiaomi: MiMo-V2.5: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.07/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Sao10K: Llama 3.3 Euryale 70B (API ID: sao10k/l3.3-euryale-70b) vs Xiaomi: MiMo-V2.5 (API ID: xiaomi/mimo-v2.5), Xiaomi: MiMo-V2.5 offers lower standard input pricing at $0.14/1M tokens ($0.28/1M output), while Xiaomi: MiMo-V2.5 leads in cached prefix economics at $0.07/1M tokens (50% discount). Sao10K: Llama 3.3 Euryale 70B 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 3.3 Euryale 70B | Xiaomi: MiMo-V2.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | sao10k/l3.3-euryale-70b | xiaomi/mimo-v2.5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.65 / $0.75 | $0.14 / $0.28 | Xiaomi: MiMo-V2.5 |
| Cache Read Price (per 1M) | $0.325/1M (50% Off) | $0.07/1M (50% Off) | Xiaomi: MiMo-V2.5 |
| Context Window / Max Output | 128K In / 16K Out | 1025K In / 128K Out | Xiaomi: MiMo-V2.5 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Sao10K: Llama 3.3 Euryale 70B (-0ms) |
Euryale L3.3 70B is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.2](/models/sao10k/l3-euryale-70b).
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perceptio
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 3.3 Euryale 70B to Xiaomi: MiMo-V2.5
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perceptio Verified P90 latency of 280ms.