OpenAI: GPT-5 Pro vs Z.ai: GLM 4.6V: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-5 Pro (openai/gpt-5-pro) vs Z.ai: GLM 4.6V (z-ai/glm-4.6v). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-5 Pro (openai/gpt-5-pro) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
Z.ai: GLM 4.6V (z-ai/glm-4.6v) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 4.6V: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-5 Pro (API ID: openai/gpt-5-pro) vs Z.ai: GLM 4.6V (API ID: z-ai/glm-4.6v), Z.ai: GLM 4.6V offers lower standard input pricing at $0.3/1M tokens ($0.9/1M output), while Z.ai: GLM 4.6V leads in cached prefix economics at $0.15/1M tokens (50% discount). OpenAI: GPT-5 Pro 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 | OpenAI: GPT-5 Pro | Z.ai: GLM 4.6V | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-5-pro | z-ai/glm-4.6v | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $15 / $120 | $0.3 / $0.9 | Z.ai: GLM 4.6V |
| Cache Read Price (per 1M) | $7.5/1M (50% Off) | $0.15/1M (50% Off) | Z.ai: GLM 4.6V |
| Context Window / Max Output | 391K In / 125K Out | 128K In / 32K Out | OpenAI: GPT-5 Pro |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-5 Pro (-0ms) |
GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K to
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 OpenAI: GPT-5 Pro to Z.ai: GLM 4.6V
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K to Verified P90 latency of 280ms.