Z.ai: GLM 4.6 vs Google: Gemini Pro Latest: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Z.ai: GLM 4.6 (z-ai/glm-4.6) vs Google: Gemini Pro Latest (~google/gemini-pro-latest). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Z.ai: GLM 4.6 (z-ai/glm-4.6) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 4.6: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
Google: Gemini Pro Latest (~google/gemini-pro-latest) — 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 Z.ai: GLM 4.6 (API ID: z-ai/glm-4.6) vs Google: Gemini Pro Latest (API ID: ~google/gemini-pro-latest), Z.ai: GLM 4.6 offers lower standard input pricing at $0.5/1M tokens ($2/1M output), while Z.ai: GLM 4.6 leads in cached prefix economics at $0.25/1M tokens (50% discount). Z.ai: GLM 4.6 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 | Z.ai: GLM 4.6 | Google: Gemini Pro Latest | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | z-ai/glm-4.6 | ~google/gemini-pro-latest | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.5 / $2 | $2 / $10 | Z.ai: GLM 4.6 |
| Cache Read Price (per 1M) | $0.25/1M (50% Off) | $1/1M (50% Off) | Z.ai: GLM 4.6 |
| Context Window / Max Output | 200K In / 128K Out | 1024K In / 64K Out | Z.ai: GLM 4.6 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Z.ai: GLM 4.6 (-0ms) |
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to
This model always redirects to the latest model in the Gemini Pro family.
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 Z.ai: GLM 4.6 to Google: Gemini Pro Latest
This model always redirects to the latest model in the Gemini Pro family. Verified P90 latency of 280ms.