Google: Gemma 4 31B (free) vs OpenAI: o1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemma 4 31B (free) (google/gemma-4-31b-it:free) vs OpenAI: o1 (openai/o1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemma 4 31B (free) (google/gemma-4-31b-it:free) — 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 (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 Google: Gemma 4 31B (free) (API ID: google/gemma-4-31b-it:free) vs OpenAI: o1 (API ID: openai/o1), Google: Gemma 4 31B (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while Google: Gemma 4 31B (free) leads in cached prefix economics at $0/1M tokens (50% discount). Google: Gemma 4 31B (free) 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: Gemma 4 31B (free) | OpenAI: o1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemma-4-31b-it:free | openai/o1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0 / $0 | $15 / $60 | Google: Gemma 4 31B (free) |
| Cache Read Price (per 1M) | $0/1M (50% Off) | $7.5/1M (50% Off) | Google: Gemma 4 31B (free) |
| Context Window / Max Output | 256K In / 32K Out | 195K In / 98K Out | OpenAI: o1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemma 4 31B (free) (-0ms) |
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking
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 Google: Gemma 4 31B (free) 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.