DeepSeek: R1 0528 vs Sao10K: Llama 3.3 Euryale 70B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: R1 0528 (deepseek/deepseek-r1-0528) vs Sao10K: Llama 3.3 Euryale 70B (sao10k/l3.3-euryale-70b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: R1 0528 (deepseek/deepseek-r1-0528) — Automatic Disk KV Cache ($0.25/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.07/1M input tokens (50% off $0.14 base) with zero code changes required, plus off-peak UTC scheduling discounts.
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.
In Etuki October 2026 FinOps telemetry comparing DeepSeek: R1 0528 (API ID: deepseek/deepseek-r1-0528) vs Sao10K: Llama 3.3 Euryale 70B (API ID: sao10k/l3.3-euryale-70b), DeepSeek: R1 0528 offers lower standard input pricing at $0.5/1M tokens ($2.15/1M output), while DeepSeek: R1 0528 leads in cached prefix economics at $0.25/1M tokens (50% discount). DeepSeek: R1 0528 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 | DeepSeek: R1 0528 | Sao10K: Llama 3.3 Euryale 70B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-r1-0528 | sao10k/l3.3-euryale-70b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.5 / $2.15 | $0.65 / $0.75 | DeepSeek: R1 0528 |
| Cache Read Price (per 1M) | $0.25/1M (50% Off) | $0.325/1M (50% Off) | DeepSeek: R1 0528 |
| Context Window / Max Output | 160K In / 32K Out | 128K In / 16K Out | DeepSeek: R1 0528 |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: R1 0528 (-0ms) |
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 67
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).
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 DeepSeek: R1 0528 to Sao10K: Llama 3.3 Euryale 70B
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). Verified P90 latency of 280ms.