DeepSeek Deepseek R1 Zero vs Essential AI Rnj 1 Base: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek Deepseek R1 Zero (deepseek/deepseek-r1-zero) vs Essential AI Rnj 1 Base (essentialai/rnj-1-base). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek Deepseek R1 Zero (deepseek/deepseek-r1-zero) — Automatic Disk KV Cache (0.05/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.022/1M off-peak input tokens (vs $0.66 off-peak base) with zero code changes required, plus off-peak UTC scheduling discounts.
Essential AI Rnj 1 Base (essentialai/rnj-1-base) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Essential AI Rnj 1 Base: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.012/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing DeepSeek Deepseek R1 Zero (API ID: deepseek/deepseek-r1-zero) vs Essential AI Rnj 1 Base (API ID: essentialai/rnj-1-base), Essential AI Rnj 1 Base offers lower standard input pricing at $0.12/1M tokens ($0.36/1M output), while Essential AI Rnj 1 Base leads in cached prefix economics at $0.012/1M tokens (90% discount). DeepSeek Deepseek R1 Zero achieves a 0ms faster P90 time-to-first-token latency (195ms vs 195ms).
Gateway-synced rate ($0.5/$2 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Gateway-synced rate ($0.12/$0.36 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | DeepSeek Deepseek R1 Zero | Essential AI Rnj 1 Base | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-r1-zero | essentialai/rnj-1-base | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.5 / $2 | $0.12 / $0.36 | Essential AI Rnj 1 Base |
| Cache Read Price (per 1M) | $0.05/1M (90% Off) | $0.012/1M (90% Off) | Essential AI Rnj 1 Base |
| Context Window / Max Output | 128K In / 64K Out | 128K In / 64K Out | DeepSeek Deepseek R1 Zero |
| P90 First-Token / Edge Latency | 195ms | 195ms | DeepSeek Deepseek R1 Zero (-0ms) |
DeepSeek Deepseek R1 Zero (deepseek/deepseek-r1-zero): OpenRouter gateway-synced model at $0.5/1M input, $2/1M output, $0.05/1M cached input (128K context window).
Essential AI Rnj 1 Base (essentialai/rnj-1-base): OpenRouter gateway-synced model at $0.12/1M input, $0.36/1M output, $0.012/1M cached input (128K context window).
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 Deepseek R1 Zero to Essential AI Rnj 1 Base
Essential AI Rnj 1 Base (essentialai/rnj-1-base): OpenRouter gateway-synced model at $0.12/1M input, $0.36/1M output, $0.012/1M cached input (128K context window). Verified P90 latency of 195ms.