OpenAI GPT-5.5 vs OpenAI: o1-pro: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI GPT-5.5 (gpt-5.5) vs OpenAI: o1-pro (openai/o1-pro). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI GPT-5.5 (gpt-5.5) 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-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 OpenAI GPT-5.5 (API ID: gpt-5.5) vs OpenAI: o1-pro (API ID: openai/o1-pro), OpenAI GPT-5.5 offers lower standard input pricing at $5/1M tokens ($30/1M output), while OpenAI GPT-5.5 leads in cached prefix economics at $2.5/1M tokens (50% discount). OpenAI: o1-pro achieves a 40ms faster P90 time-to-first-token latency (280ms vs 320ms).
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 | OpenAI GPT-5.5 | OpenAI: o1-pro | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | gpt-5.5 | openai/o1-pro | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $5 / $30 | $150 / $600 | OpenAI GPT-5.5 |
| Cache Read Price (per 1M) | $2.5/1M (50% Off) | $75/1M (50% Off) | OpenAI GPT-5.5 |
| Context Window / Max Output | 1000K In / 128K Out | 195K In / 98K Out | OpenAI GPT-5.5 |
| P90 First-Token / Edge Latency | 320ms | 280ms | OpenAI: o1-pro (-40ms) |
Flagship GPT-5 series general model with configurable reasoning_effort from none to xhigh.
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 OpenAI GPT-5.5 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.