Inception: Mercury 2 vs Fireworks: Ember-1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Inception: Mercury 2 (inception/mercury-2) vs Fireworks: Ember-1 (fireworks/ember-1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Inception: Mercury 2 (inception/mercury-2) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Inception: Mercury 2: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.125/1M) or route via asynchronous Batch API for 50% off standard token rates.
Fireworks: Ember-1 (fireworks/ember-1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Fireworks: Ember-1: Activate ephemeral prefix caching to slash input costs by 50% (down to $1.5/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Inception: Mercury 2 (API ID: inception/mercury-2) vs Fireworks: Ember-1 (API ID: fireworks/ember-1), Inception: Mercury 2 offers lower standard input pricing at $0.25/1M tokens ($0.75/1M output), while Inception: Mercury 2 leads in cached prefix economics at $0.125/1M tokens (50% discount). Inception: Mercury 2 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 | Inception: Mercury 2 | Fireworks: Ember-1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | inception/mercury-2 | fireworks/ember-1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.25 / $0.75 | $3 / $15 | Inception: Mercury 2 |
| Cache Read Price (per 1M) | $0.125/1M (50% Off) | $1.5/1M (50% Off) | Inception: Mercury 2 |
| Context Window / Max Output | 125K In / 49K Out | 1024K In / 922K Out | Fireworks: Ember-1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Inception: Mercury 2 (-0ms) |
Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple token
Ember-1 is a specialized reasoning model from Fireworks Research, built on [Kimi K3](https://openrouter.ai/moonshotai/kimi-k3). It is designed to make every token go further: it pr
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 Inception: Mercury 2 to Fireworks: Ember-1
Ember-1 is a specialized reasoning model from Fireworks Research, built on [Kimi K3](https://openrouter.ai/moonshotai/kimi-k3). It is designed to make every token go further: it pr Verified P90 latency of 280ms.