DeepSeek: R1 vs MoonshotAI: Kimi Latest: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: R1 (deepseek/deepseek-r1) vs MoonshotAI: Kimi Latest (~moonshotai/kimi-latest). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: R1 (deepseek/deepseek-r1) — Automatic Disk KV Cache ($0.35/1M) & 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.
MoonshotAI: Kimi Latest (~moonshotai/kimi-latest) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi Latest: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.155/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing DeepSeek: R1 (API ID: deepseek/deepseek-r1) vs MoonshotAI: Kimi Latest (API ID: ~moonshotai/kimi-latest), MoonshotAI: Kimi Latest offers lower standard input pricing at $0.31/1M tokens ($24/1M output), while MoonshotAI: Kimi Latest leads in cached prefix economics at $0.155/1M tokens (50% discount). DeepSeek: R1 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 | MoonshotAI: Kimi Latest | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-r1 | ~moonshotai/kimi-latest | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.7 / $2.5 | $0.31 / $24 | MoonshotAI: Kimi Latest |
| Cache Read Price (per 1M) | $0.35/1M (50% Off) | $0.155/1M (50% Off) | MoonshotAI: Kimi Latest |
| Context Window / Max Output | 63K In / 16K Out | 1024K In / 922K Out | MoonshotAI: Kimi Latest |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: R1 (-0ms) |
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inf
This model always redirects to the latest model in the Kimi family.
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 to MoonshotAI: Kimi Latest
This model always redirects to the latest model in the Kimi family. Verified P90 latency of 280ms.