Google: Gemini 3.1 Pro Preview (batch) vs OpenAI: GPT Sol Latest: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 3.1 Pro Preview (batch) (google/gemini-3.1-pro-preview:batch) vs OpenAI: GPT Sol Latest (~openai/gpt-sol-latest). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemini 3.1 Pro Preview (batch) (google/gemini-3.1-pro-preview:batch) — 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 Sol Latest (~openai/gpt-sol-latest) 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 3.1 Pro Preview (batch) (API ID: google/gemini-3.1-pro-preview:batch) vs OpenAI: GPT Sol Latest (API ID: ~openai/gpt-sol-latest), Google: Gemini 3.1 Pro Preview (batch) offers lower standard input pricing at $1/1M tokens ($6/1M output), while Google: Gemini 3.1 Pro Preview (batch) leads in cached prefix economics at $0.5/1M tokens (50% discount). Google: Gemini 3.1 Pro Preview (batch) 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 3.1 Pro Preview (batch) | OpenAI: GPT Sol Latest | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-3.1-pro-preview:batch | ~openai/gpt-sol-latest | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $6 | $2 / $10 | Google: Gemini 3.1 Pro Preview (batch) |
| Cache Read Price (per 1M) | $0.5/1M (50% Off) | $1/1M (50% Off) | Google: Gemini 3.1 Pro Preview (batch) |
| Context Window / Max Output | 1024K In / 64K Out | 1025K In / 125K Out | OpenAI: GPT Sol Latest |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemini 3.1 Pro Preview (batch) (-0ms) |
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage acro
This model always redirects to the latest model in the GPT Sol family.
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 3.1 Pro Preview (batch) to OpenAI: GPT Sol Latest
This model always redirects to the latest model in the GPT Sol family. Verified P90 latency of 280ms.