Google: Gemini 2.5 Pro Preview 06-05 vs OpenAI: o1-pro: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 2.5 Pro Preview 06-05 (google/gemini-2.5-pro-preview) vs OpenAI: o1-pro (openai/o1-pro). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemini 2.5 Pro Preview 06-05 (google/gemini-2.5-pro-preview) — Google AI Startup Credits ($350K) & 50% Cache Promo
Google DeepMind is currently subsidizing Gemini 4 Argon at 50% off standard rates ($2.00/1M input & $10.00/1M output instead of $4/$20) until November 30, 2026, alongside 95% off Context Caching ($0.10/1M) and up to $350,000 in Google for Startups Cloud/Vertex AI credits.
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 Google: Gemini 2.5 Pro Preview 06-05 (API ID: google/gemini-2.5-pro-preview) vs OpenAI: o1-pro (API ID: openai/o1-pro), Google: Gemini 2.5 Pro Preview 06-05 offers lower standard input pricing at $1.25/1M tokens ($10/1M output), while Google: Gemini 2.5 Pro Preview 06-05 leads in cached prefix economics at $0.625/1M tokens (50% discount). Google: Gemini 2.5 Pro Preview 06-05 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 | Google: Gemini 2.5 Pro Preview 06-05 | OpenAI: o1-pro | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-2.5-pro-preview | openai/o1-pro | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.25 / $10 | $150 / $600 | Google: Gemini 2.5 Pro Preview 06-05 |
| Cache Read Price (per 1M) | $0.625/1M (50% Off) | $75/1M (50% Off) | Google: Gemini 2.5 Pro Preview 06-05 |
| Context Window / Max Output | 1024K In / 64K Out | 195K In / 98K Out | OpenAI: o1-pro |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemini 2.5 Pro Preview 06-05 (-0ms) |
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to
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 Google: Gemini 2.5 Pro Preview 06-05 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.