Google: Gemma 3 4B vs xAI: Grok Latest: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemma 3 4B (google/gemma-3-4b-it) vs xAI: Grok Latest (~x-ai/grok-latest). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemma 3 4B (google/gemma-3-4b-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.
xAI: Grok Latest (~x-ai/grok-latest) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for xAI: Grok Latest: Activate ephemeral prefix caching to slash input costs by 50% (down to $1/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Google: Gemma 3 4B (API ID: google/gemma-3-4b-it) vs xAI: Grok Latest (API ID: ~x-ai/grok-latest), Google: Gemma 3 4B offers lower standard input pricing at $0.05/1M tokens ($0.1/1M output), while Google: Gemma 3 4B leads in cached prefix economics at $0.025/1M tokens (50% discount). Google: Gemma 3 4B 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 3 4B | xAI: Grok Latest | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemma-3-4b-it | ~x-ai/grok-latest | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.1 | $2 / $6 | Google: Gemma 3 4B |
| Cache Read Price (per 1M) | $0.025/1M (50% Off) | $1/1M (50% Off) | Google: Gemma 3 4B |
| Context Window / Max Output | 128K In / 16K Out | 488K In / 439K Out | xAI: Grok Latest |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemma 3 4B (-0ms) |
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improv
This model always redirects to the latest Grok model from xAI.
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 3 4B to xAI: Grok Latest
This model always redirects to the latest Grok model from xAI. Verified P90 latency of 280ms.