Google: Gemini 3.6 Flash vs inclusionAI: Ling 3.0 Flash VL: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 3.6 Flash (google/gemini-3.6-flash) vs inclusionAI: Ling 3.0 Flash VL (inclusionai/ling-3.0-flash-vl). 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.
inclusionAI: Ling 3.0 Flash VL (inclusionai/ling-3.0-flash-vl) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for inclusionAI: Ling 3.0 Flash VL: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.03/1M) 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 inclusionAI: Ling 3.0 Flash VL (API ID: inclusionai/ling-3.0-flash-vl), inclusionAI: Ling 3.0 Flash VL offers lower standard input pricing at $0.06/1M tokens ($0.18/1M output), while inclusionAI: Ling 3.0 Flash VL leads in cached prefix economics at $0.03/1M 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 | inclusionAI: Ling 3.0 Flash VL | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-3.6-flash | inclusionai/ling-3.0-flash-vl | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.75 / $3.75 | $0.06 / $0.18 | inclusionAI: Ling 3.0 Flash VL |
| Cache Read Price (per 1M) | $0.375/1M (50% Off) | $0.03/1M (50% Off) | inclusionAI: Ling 3.0 Flash VL |
| Context Window / Max Output | 1024K In / 64K Out | 128K In / 32K Out | Google: Gemini 3.6 Flash |
| 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
Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception an
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 inclusionAI: Ling 3.0 Flash VL
Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception an Verified P90 latency of 280ms.