Google: Gemma 4 31B vs Google: Gemini 3.1 Pro Preview (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemma 4 31B (google/gemma-4-31b-it) 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.
Google: Gemma 4 31B (google/gemma-4-31b-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.
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 Google: Gemma 4 31B (API ID: google/gemma-4-31b-it) vs Google: Gemini 3.1 Pro Preview (batch) (API ID: google/gemini-3.1-pro-preview:batch), Google: Gemma 4 31B offers lower standard input pricing at $0.2/1M tokens ($0.4/1M output), while Google: Gemma 4 31B leads in cached prefix economics at $0.1/1M tokens (50% discount). Google: Gemma 4 31B 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 | Google: Gemini 3.1 Pro Preview (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemma-4-31b-it | google/gemini-3.1-pro-preview:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.2 / $0.4 | $1 / $6 | Google: Gemma 4 31B |
| Cache Read Price (per 1M) | $0.1/1M (50% Off) | $0.5/1M (50% Off) | Google: Gemma 4 31B |
| Context Window / Max Output | 256K In / 16K Out | 1024K In / 64K Out | Google: Gemini 3.1 Pro Preview (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemma 4 31B (-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
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 Google: Gemma 4 31B 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.