Meta Llama 4 Scout vs Amazon: Nova Premier 1.0: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta Llama 4 Scout (llama-4-scout) vs Amazon: Nova Premier 1.0 (amazon/nova-premier-v1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Meta Llama 4 Scout (llama-4-scout) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta Llama 4 Scout: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.225/1M) or route via asynchronous Batch API for 50% off standard token rates.
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 Meta Llama 4 Scout (API ID: llama-4-scout) vs Amazon: Nova Premier 1.0 (API ID: amazon/nova-premier-v1), Meta Llama 4 Scout offers lower standard input pricing at $0.45/1M tokens ($0.65/1M output), while Meta Llama 4 Scout leads in cached prefix economics at $0.225/1M tokens (50% discount). Meta Llama 4 Scout achieves a 140ms faster P90 time-to-first-token latency (140ms vs 280ms).
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Meta Llama 4 Scout | Amazon: Nova Premier 1.0 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | llama-4-scout | amazon/nova-premier-v1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.45 / $0.65 | $2.5 / $12.5 | Meta Llama 4 Scout |
| Cache Read Price (per 1M) | $0.225/1M (50% Off) | $1.25/1M (50% Off) | Meta Llama 4 Scout |
| Context Window / Max Output | 400K In / 128K Out | 977K In / 31K Out | Meta Llama 4 Scout |
| P90 First-Token / Edge Latency | 140ms | 280ms | Meta Llama 4 Scout (-140ms) |
Meta open-weight multimodal MoE model supporting 10M+ extended context on dedicated clusters.
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 Meta Llama 4 Scout 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.