Google: Gemini 3.6 Flash (batch) vs MoonshotAI: Kimi K2 0905: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 3.6 Flash (batch) (google/gemini-3.6-flash:batch) vs MoonshotAI: Kimi K2 0905 (moonshotai/kimi-k2-0905). 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.
MoonshotAI: Kimi K2 0905 (moonshotai/kimi-k2-0905) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K2 0905: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.3/1M) 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 MoonshotAI: Kimi K2 0905 (API ID: moonshotai/kimi-k2-0905), 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) | MoonshotAI: Kimi K2 0905 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-3.6-flash:batch | moonshotai/kimi-k2-0905 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.375 / $1.875 | $0.6 / $2.5 | Google: Gemini 3.6 Flash (batch) |
| Cache Read Price (per 1M) | $0.1875/1M (50% Off) | $0.3/1M (50% Off) | Google: Gemini 3.6 Flash (batch) |
| Context Window / Max Output | 1024K In / 64K Out | 256K In / 96K Out | MoonshotAI: Kimi K2 0905 |
| 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
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trilli
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 MoonshotAI: Kimi K2 0905
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trilli Verified P90 latency of 280ms.