OpenAI: o1-pro vs DeepSeek: DeepSeek Pro Latest: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: o1-pro (openai/o1-pro) vs DeepSeek: DeepSeek Pro Latest (~deepseek/deepseek-pro-latest). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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).
DeepSeek: DeepSeek Pro Latest (~deepseek/deepseek-pro-latest) — Automatic Disk KV Cache ($0.0654/1M) & 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 OpenAI: o1-pro (API ID: openai/o1-pro) vs DeepSeek: DeepSeek Pro Latest (API ID: ~deepseek/deepseek-pro-latest), DeepSeek: DeepSeek Pro Latest offers lower standard input pricing at $0.1307/1M tokens ($8/1M output), while DeepSeek: DeepSeek Pro Latest leads in cached prefix economics at $0.0654/1M tokens (50% discount). OpenAI: o1-pro 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 | OpenAI: o1-pro | DeepSeek: DeepSeek Pro Latest | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/o1-pro | ~deepseek/deepseek-pro-latest | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $150 / $600 | $0.1307 / $8 | DeepSeek: DeepSeek Pro Latest |
| Cache Read Price (per 1M) | $75/1M (50% Off) | $0.0654/1M (50% Off) | DeepSeek: DeepSeek Pro Latest |
| Context Window / Max Output | 195K In / 98K Out | 1024K In / 384K Out | DeepSeek: DeepSeek Pro Latest |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: o1-pro (-0ms) |
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
This model always redirects to the latest model in the DeepSeek Pro 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 OpenAI: o1-pro to DeepSeek: DeepSeek Pro Latest
This model always redirects to the latest model in the DeepSeek Pro family. Verified P90 latency of 280ms.