Google: Gemini 3.5 Flash Lite (batch) vs Z.ai: GLM 5.2: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 3.5 Flash Lite (batch) (google/gemini-3.5-flash-lite:batch) vs Z.ai: GLM 5.2 (z-ai/glm-5.2). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemini 3.5 Flash Lite (batch) (google/gemini-3.5-flash-lite: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.
Z.ai: GLM 5.2 (z-ai/glm-5.2) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 5.2: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0157/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Google: Gemini 3.5 Flash Lite (batch) (API ID: google/gemini-3.5-flash-lite:batch) vs Z.ai: GLM 5.2 (API ID: z-ai/glm-5.2), Z.ai: GLM 5.2 offers lower standard input pricing at $0.0314/1M tokens ($7/1M output), while Z.ai: GLM 5.2 leads in cached prefix economics at $0.0157/1M tokens (50% discount). Google: Gemini 3.5 Flash Lite (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 3.5 Flash Lite (batch) | Z.ai: GLM 5.2 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-3.5-flash-lite:batch | z-ai/glm-5.2 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.15 / $1.25 | $0.0314 / $7 | Z.ai: GLM 5.2 |
| Cache Read Price (per 1M) | $0.075/1M (50% Off) | $0.0157/1M (50% Off) | Z.ai: GLM 5.2 |
| Context Window / Max Output | 1024K In / 64K Out | 1024K In / 922K Out | Z.ai: GLM 5.2 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemini 3.5 Flash Lite (batch) (-0ms) |
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent w
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level
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 3.5 Flash Lite (batch) to Z.ai: GLM 5.2
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level Verified P90 latency of 280ms.