OpenAI: o4 Mini vs Google: Gemma 3 12B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: o4 Mini (openai/o4-mini) vs Google: Gemma 3 12B (google/gemma-3-12b-it). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: o4 Mini (openai/o4-mini) 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).
Google: Gemma 3 12B (google/gemma-3-12b-it) — 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.
In Etuki October 2026 FinOps telemetry comparing OpenAI: o4 Mini (API ID: openai/o4-mini) vs Google: Gemma 3 12B (API ID: google/gemma-3-12b-it), Google: Gemma 3 12B offers lower standard input pricing at $0.05/1M tokens ($0.15/1M output), while Google: Gemma 3 12B leads in cached prefix economics at $0.025/1M tokens (50% discount). OpenAI: o4 Mini 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: o4 Mini | Google: Gemma 3 12B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/o4-mini | google/gemma-3-12b-it | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.1 / $4.4 | $0.05 / $0.15 | Google: Gemma 3 12B |
| Cache Read Price (per 1M) | $0.55/1M (50% Off) | $0.025/1M (50% Off) | Google: Gemma 3 12B |
| Context Window / Max Output | 195K In / 98K Out | 128K In / 16K Out | OpenAI: o4 Mini |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: o4 Mini (-0ms) |
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improv
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: o4 Mini to Google: Gemma 3 12B
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improv Verified P90 latency of 280ms.