Google: Gemini 3.8 Flash vs OpenAI: GPT-4 Turbo: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 3.8 Flash (google/gemini-3.8-flash) vs OpenAI: GPT-4 Turbo (openai/gpt-4-turbo). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemini 3.8 Flash (google/gemini-3.8-flash) — 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: GPT-4 Turbo (openai/gpt-4-turbo) 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 3.8 Flash (API ID: google/gemini-3.8-flash) vs OpenAI: GPT-4 Turbo (API ID: openai/gpt-4-turbo), Google: Gemini 3.8 Flash offers lower standard input pricing at $0.75/1M tokens ($3.75/1M output), while Google: Gemini 3.8 Flash leads in cached prefix economics at $0.375/1M tokens (50% discount). Google: Gemini 3.8 Flash 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 3.8 Flash | OpenAI: GPT-4 Turbo | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-3.8-flash | openai/gpt-4-turbo | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.75 / $3.75 | $10 / $30 | Google: Gemini 3.8 Flash |
| Cache Read Price (per 1M) | $0.375/1M (50% Off) | $5/1M (50% Off) | Google: Gemini 3.8 Flash |
| Context Window / Max Output | 1024K In / 64K Out | 125K In / 4K Out | Google: Gemini 3.8 Flash |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemini 3.8 Flash (-0ms) |
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
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 3.8 Flash to OpenAI: GPT-4 Turbo
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023. Verified P90 latency of 280ms.