StepFun: Step 3.7 Flash vs Z.ai: GLM 5.2: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing StepFun: Step 3.7 Flash (stepfun/step-3.7-flash) vs Z.ai: GLM 5.2 (z-ai/glm-5.2). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
StepFun: Step 3.7 Flash (stepfun/step-3.7-flash) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for StepFun: Step 3.7 Flash: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.1/1M) or route via asynchronous Batch API for 50% off standard token rates.
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 $0.0132/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing StepFun: Step 3.7 Flash (API ID: stepfun/step-3.7-flash) vs Z.ai: GLM 5.2 (API ID: z-ai/glm-5.2), Z.ai: GLM 5.2 offers lower standard input pricing at $0.0264/1M tokens ($7/1M output), while Z.ai: GLM 5.2 leads in cached prefix economics at $0.0132/1M tokens (50% discount). StepFun: Step 3.7 Flash 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 | StepFun: Step 3.7 Flash | Z.ai: GLM 5.2 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | stepfun/step-3.7-flash | z-ai/glm-5.2 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.2 / $1.15 | $0.0264 / $7 | Z.ai: GLM 5.2 |
| Cache Read Price (per 1M) | $0.1/1M (50% Off) | $0.0132/1M (50% Off) | Z.ai: GLM 5.2 |
| Context Window / Max Output | 256K In / 225K Out | 1024K In / 922K Out | Z.ai: GLM 5.2 |
| P90 First-Token / Edge Latency | 280ms | 280ms | StepFun: Step 3.7 Flash (-0ms) |
Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video
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 StepFun: Step 3.7 Flash 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.