Google: Gemini 3.6 Flash (batch) vs Fireworks: Ember-1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 3.6 Flash (batch) (google/gemini-3.6-flash:batch) vs Fireworks: Ember-1 (fireworks/ember-1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemini 3.6 Flash (batch) (google/gemini-3.6-flash:batch) — 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.
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 Google: Gemini 3.6 Flash (batch) (API ID: google/gemini-3.6-flash:batch) vs Fireworks: Ember-1 (API ID: fireworks/ember-1), Google: Gemini 3.6 Flash (batch) offers lower standard input pricing at $0.375/1M tokens ($1.875/1M output), while Google: Gemini 3.6 Flash (batch) leads in cached prefix economics at $0.1875/1M tokens (50% discount). Google: Gemini 3.6 Flash (batch) 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: Gemini 3.6 Flash (batch) | Fireworks: Ember-1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-3.6-flash:batch | fireworks/ember-1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.375 / $1.875 | $3 / $15 | Google: Gemini 3.6 Flash (batch) |
| Cache Read Price (per 1M) | $0.1875/1M (50% Off) | $1.5/1M (50% Off) | Google: Gemini 3.6 Flash (batch) |
| Context Window / Max Output | 1024K In / 64K Out | 1024K In / 922K Out | Fireworks: Ember-1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemini 3.6 Flash (batch) (-0ms) |
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessar
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 Google: Gemini 3.6 Flash (batch) 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.