OpenAI GPT-6.1 Sol vs Google: Gemini 3.1 Pro Preview (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI GPT-6.1 Sol (gpt-6.1-sol) vs Google: Gemini 3.1 Pro Preview (batch) (google/gemini-3.1-pro-preview:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI & Microsoft Founders Hub ($2,500–$150,000 Credits) + 50% Batch API Discount
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: 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.
In Etuki October 2026 FinOps telemetry comparing OpenAI GPT-6.1 Sol (API ID: gpt-6.1-sol) vs Google: Gemini 3.1 Pro Preview (batch) (API ID: google/gemini-3.1-pro-preview:batch), Google: Gemini 3.1 Pro Preview (batch) offers lower standard input pricing at $1/1M tokens ($6/1M output), while OpenAI GPT-6.1 Sol leads in cached prefix economics at $0.5/1M tokens (75% discount). OpenAI GPT-6.1 Sol achieves a 10ms faster P90 time-to-first-token latency (270ms vs 280ms).
Context Cliff Alert: Prompts exceeding 272K tokens double in price from $2/$10 to $4/$15 per 1M tokens.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | OpenAI GPT-6.1 Sol | Google: Gemini 3.1 Pro Preview (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | gpt-6.1-sol | google/gemini-3.1-pro-preview:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $10 | $1 / $6 | Google: Gemini 3.1 Pro Preview (batch) |
| Cache Read Price (per 1M) | $0.5/1M (75% Off) | $0.5/1M (50% Off) | OpenAI GPT-6.1 Sol |
| Context Window / Max Output | 1000K In / 128K Out | 1024K In / 64K Out | OpenAI GPT-6.1 Sol |
| P90 First-Token / Edge Latency | 270ms | 280ms | OpenAI GPT-6.1 Sol (-10ms) |
OpenAI October 2026 flagship reasoning & coding model delivering near-Astra intelligence at 1/5th the cost.
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
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 GPT-6.1 Sol to Google: Gemini 3.1 Pro Preview (batch)
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 Verified P90 latency of 280ms.