Google: Gemma 4 31B (free) vs Amazon: Nova Premier 1.0: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemma 4 31B (free) (google/gemma-4-31b-it:free) vs Amazon: Nova Premier 1.0 (amazon/nova-premier-v1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemma 4 31B (free) (google/gemma-4-31b-it:free) — 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.
Amazon: Nova Premier 1.0 (amazon/nova-premier-v1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Amazon: Nova Premier 1.0: Activate ephemeral prefix caching to slash input costs by 50% (down to $1.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Google: Gemma 4 31B (free) (API ID: google/gemma-4-31b-it:free) vs Amazon: Nova Premier 1.0 (API ID: amazon/nova-premier-v1), Google: Gemma 4 31B (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while Google: Gemma 4 31B (free) leads in cached prefix economics at $0/1M tokens (50% discount). Google: Gemma 4 31B (free) 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 (free) | Amazon: Nova Premier 1.0 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemma-4-31b-it:free | amazon/nova-premier-v1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0 / $0 | $2.5 / $12.5 | Google: Gemma 4 31B (free) |
| Cache Read Price (per 1M) | $0/1M (50% Off) | $1.25/1M (50% Off) | Google: Gemma 4 31B (free) |
| Context Window / Max Output | 256K In / 32K Out | 977K In / 31K Out | Google: Gemma 4 31B (free) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemma 4 31B (free) (-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
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
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 (free) to Amazon: Nova Premier 1.0
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models. Verified P90 latency of 280ms.