OpenAI: o3 Mini High vs OpenAI: o1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: o3 Mini High (openai/o3-mini-high) vs OpenAI: o1 (openai/o1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: o3 Mini High (openai/o3-mini-high) 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).
OpenAI: o1 (openai/o1) 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 OpenAI: o3 Mini High (API ID: openai/o3-mini-high) vs OpenAI: o1 (API ID: openai/o1), OpenAI: o3 Mini High offers lower standard input pricing at $1.1/1M tokens ($4.4/1M output), while OpenAI: o3 Mini High leads in cached prefix economics at $0.55/1M tokens (50% discount). OpenAI: o3 Mini High 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: o3 Mini High | OpenAI: o1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/o3-mini-high | openai/o1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.1 / $4.4 | $15 / $60 | OpenAI: o3 Mini High |
| Cache Read Price (per 1M) | $0.55/1M (50% Off) | $7.5/1M (50% Off) | OpenAI: o3 Mini High |
| Context Window / Max Output | 195K In / 98K Out | 195K In / 98K Out | OpenAI: o3 Mini High |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: o3 Mini High (-0ms) |
OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learn
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: o3 Mini High to OpenAI: o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learn Verified P90 latency of 280ms.