DeepSeek: DeepSeek V3.1 Terminus vs OpenAI: o1-pro: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V3.1 Terminus (deepseek/deepseek-v3.1-terminus) vs OpenAI: o1-pro (openai/o1-pro). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
OpenAI: o1-pro (openai/o1-pro) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
In Etuki October 2026 FinOps telemetry comparing DeepSeek: DeepSeek V3.1 Terminus (API ID: deepseek/deepseek-v3.1-terminus) vs OpenAI: o1-pro (API ID: openai/o1-pro), 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 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: DeepSeek V3.1 Terminus | OpenAI: o1-pro | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v3.1-terminus | openai/o1-pro | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.27 / $1 | $150 / $600 | DeepSeek: DeepSeek V3.1 Terminus |
| Cache Read Price (per 1M) | $0.135/1M (50% Off) | $75/1M (50% Off) | DeepSeek: DeepSeek V3.1 Terminus |
| Context Window / Max Output | 160K In / 144K Out | 195K In / 98K Out | DeepSeek: DeepSeek V3.1 Terminus |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V3.1 Terminus (-0ms) |
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
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and pr
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 V3.1 Terminus to OpenAI: o1-pro
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and pr Verified P90 latency of 280ms.