Google: Gemini 3.6 Flash vs Tencent: Hy3: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 3.6 Flash (google/gemini-3.6-flash) vs Tencent: Hy3 (tencent/hy3). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemini 3.6 Flash (google/gemini-3.6-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.
Tencent: Hy3 (tencent/hy3) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hy3: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.066/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Google: Gemini 3.6 Flash (API ID: google/gemini-3.6-flash) vs Tencent: Hy3 (API ID: tencent/hy3), Tencent: Hy3 offers lower standard input pricing at $0.132/1M tokens ($0.528/1M output), while Tencent: Hy3 leads in cached prefix economics at $0.066/1M tokens (50% discount). Google: Gemini 3.6 Flash 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 | Tencent: Hy3 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-3.6-flash | tencent/hy3 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.75 / $3.75 | $0.132 / $0.528 | Tencent: Hy3 |
| Cache Read Price (per 1M) | $0.375/1M (50% Off) | $0.066/1M (50% Off) | Tencent: Hy3 |
| Context Window / Max Output | 1024K In / 64K Out | 256K In / 125K Out | Tencent: Hy3 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemini 3.6 Flash (-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
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It
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 to Tencent: Hy3
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It Verified P90 latency of 280ms.