MoonshotAI: Kimi K2 0905 vs Google: Gemini 3.7 Flash: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing MoonshotAI: Kimi K2 0905 (moonshotai/kimi-k2-0905) vs Google: Gemini 3.7 Flash (google/gemini-3.7-flash). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
Google: Gemini 3.7 Flash (google/gemini-3.7-flash) — 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.
In Etuki October 2026 FinOps telemetry comparing MoonshotAI: Kimi K2 0905 (API ID: moonshotai/kimi-k2-0905) vs Google: Gemini 3.7 Flash (API ID: google/gemini-3.7-flash), MoonshotAI: Kimi K2 0905 offers lower standard input pricing at $0.6/1M tokens ($2.5/1M output), while MoonshotAI: Kimi K2 0905 leads in cached prefix economics at $0.3/1M tokens (50% discount). MoonshotAI: Kimi K2 0905 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 | MoonshotAI: Kimi K2 0905 | Google: Gemini 3.7 Flash | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | moonshotai/kimi-k2-0905 | google/gemini-3.7-flash | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.6 / $2.5 | $0.75 / $3.75 | MoonshotAI: Kimi K2 0905 |
| Cache Read Price (per 1M) | $0.3/1M (50% Off) | $0.375/1M (50% Off) | MoonshotAI: Kimi K2 0905 |
| Context Window / Max Output | 256K In / 96K Out | 1024K In / 64K Out | MoonshotAI: Kimi K2 0905 |
| P90 First-Token / Edge Latency | 280ms | 280ms | MoonshotAI: Kimi K2 0905 (-0ms) |
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
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performanc
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 MoonshotAI: Kimi K2 0905 to Google: Gemini 3.7 Flash
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performanc Verified P90 latency of 280ms.