OpenAI: o3 vs Z.ai: GLM 4.6: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: o3 (openai/o3) vs Z.ai: GLM 4.6 (z-ai/glm-4.6). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: o3 (openai/o3) 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 4.6 (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.
In Etuki October 2026 FinOps telemetry comparing OpenAI: o3 (API ID: openai/o3) vs Z.ai: GLM 4.6 (API ID: z-ai/glm-4.6), 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). OpenAI: o3 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: o3 | Z.ai: GLM 4.6 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/o3 | z-ai/glm-4.6 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $8 | $0.5 / $2 | Z.ai: GLM 4.6 |
| Cache Read Price (per 1M) | $1/1M (50% Off) | $0.25/1M (50% Off) | Z.ai: GLM 4.6 |
| Context Window / Max Output | 195K In / 98K Out | 200K In / 128K Out | Z.ai: GLM 4.6 |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: o3 (-0ms) |
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instru
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
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: o3 to Z.ai: GLM 4.6
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 Verified P90 latency of 280ms.