OpenAI: GPT-5.4 vs Z.ai: GLM 4.7 Flash: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-5.4 (openai/gpt-5.4) vs Z.ai: GLM 4.7 Flash (z-ai/glm-4.7-flash). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-5.4 (openai/gpt-5.4) 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 4.7 Flash (z-ai/glm-4.7-flash) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 4.7 Flash: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0302/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-5.4 (API ID: openai/gpt-5.4) vs Z.ai: GLM 4.7 Flash (API ID: z-ai/glm-4.7-flash), Z.ai: GLM 4.7 Flash offers lower standard input pricing at $0.0605/1M tokens ($0.4/1M output), while Z.ai: GLM 4.7 Flash leads in cached prefix economics at $0.0302/1M tokens (50% discount). OpenAI: GPT-5.4 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-5.4 | Z.ai: GLM 4.7 Flash | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-5.4 | z-ai/glm-4.7-flash | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2.5 / $15 | $0.0605 / $0.4 | Z.ai: GLM 4.7 Flash |
| Cache Read Price (per 1M) | $1.25/1M (50% Off) | $0.0302/1M (50% Off) | Z.ai: GLM 4.7 Flash |
| Context Window / Max Output | 1025K In / 125K Out | 195K In / 115K Out | OpenAI: GPT-5.4 |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-5.4 (-0ms) |
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for.
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding ca
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-5.4 to Z.ai: GLM 4.7 Flash
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding ca Verified P90 latency of 280ms.