Amazon: Nova Micro 1.0 vs Inception: Mercury 3: Live Promos, Pricing, Hidden Fees & Latency
Amazon: Nova Micro 1.0 (amazon/nova-micro-v1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Amazon: Nova Micro 1.0: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.0175/1M) or route via asynchronous Batch API for 50% off standard token rates.
Inception: Mercury 3 (inception/mercury-3) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Inception: Mercury 3: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Amazon: Nova Micro 1.0 (API ID: amazon/nova-micro-v1) vs Inception: Mercury 3 (API ID: inception/mercury-3), Amazon: Nova Micro 1.0 offers lower standard input pricing at $0.035/1M tokens ($0.14/1M output), while Amazon: Nova Micro 1.0 leads in cached prefix economics at $0.0175/1M tokens (50% discount). Amazon: Nova Micro 1.0 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 | Amazon: Nova Micro 1.0 | Inception: Mercury 3 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | amazon/nova-micro-v1 | inception/mercury-3 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.035 / $0.14 | $0.1 / $0.35 | Amazon: Nova Micro 1.0 |
| Cache Read Price (per 1M) | $0.0175/1M (50% Off) | $0.05/1M (50% Off) | Amazon: Nova Micro 1.0 |
| Context Window / Max Output | 125K In / 5K Out | 977K In / 128K Out | Inception: Mercury 3 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Amazon: Nova Micro 1.0 (-0ms) |
Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency
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 Amazon: Nova Micro 1.0 to Inception: Mercury 3
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency Verified P90 latency of 280ms.