DeepSeek-R1 (Reasoner) vs DeepSeek: DeepSeek V3.1 Terminus: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek-R1 (Reasoner) (deepseek-reasoner) vs DeepSeek: DeepSeek V3.1 Terminus (deepseek/deepseek-v3.1-terminus). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek-R1 (Reasoner) (deepseek-reasoner) — Automatic Disk KV Cache ($0.275/1M) & 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.
DeepSeek: DeepSeek V3.1 Terminus (deepseek/deepseek-v3.1-terminus) — Automatic Disk KV Cache ($0.135/1M) & 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.
In Etuki October 2026 FinOps telemetry comparing DeepSeek-R1 (Reasoner) (API ID: deepseek-reasoner) vs DeepSeek: DeepSeek V3.1 Terminus (API ID: deepseek/deepseek-v3.1-terminus), DeepSeek: DeepSeek V3.1 Terminus offers lower standard input pricing at $0.27/1M tokens ($1/1M output), while DeepSeek: DeepSeek V3.1 Terminus leads in cached prefix economics at $0.135/1M tokens (50% discount). DeepSeek: DeepSeek V3.1 Terminus achieves a 260ms faster P90 time-to-first-token latency (280ms vs 540ms).
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | DeepSeek-R1 (Reasoner) | DeepSeek: DeepSeek V3.1 Terminus | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek-reasoner | deepseek/deepseek-v3.1-terminus | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.55 / $2.19 | $0.27 / $1 | DeepSeek: DeepSeek V3.1 Terminus |
| Cache Read Price (per 1M) | $0.275/1M (50% Off) | $0.135/1M (50% Off) | DeepSeek: DeepSeek V3.1 Terminus |
| Context Window / Max Output | 400K In / 128K Out | 160K In / 144K Out | DeepSeek: DeepSeek V3.1 Terminus |
| P90 First-Token / Edge Latency | 540ms | 280ms | DeepSeek: DeepSeek V3.1 Terminus (-260ms) |
Open-weight reinforcement-learning reasoning model for formal math, finance, and theorem synthesis.
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, inc
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 (Reasoner) to DeepSeek: DeepSeek V3.1 Terminus
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, inc Verified P90 latency of 280ms.