Z.ai: GLM 5.3 Flash (batch) vs Recursive: Flint (free): Live Promos, Pricing, Hidden Fees & Latency
Z.ai: GLM 5.3 Flash (batch) (z-ai/glm-5.3-flash:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 5.3 Flash (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to 0.025/1M) or route via asynchronous Batch API for 50% off standard token rates.
Recursive: Flint (free) (recursive/flint-v1.0:free) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Recursive: Flint (free): Activate ephemeral prefix caching to slash input costs by 50% (down to 0/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Z.ai: GLM 5.3 Flash (batch) (API ID: z-ai/glm-5.3-flash:batch) vs Recursive: Flint (free) (API ID: recursive/flint-v1.0:free), Recursive: Flint (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while Recursive: Flint (free) leads in cached prefix economics at $0/1M tokens (50% discount). Z.ai: GLM 5.3 Flash (batch) 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 5.3 Flash (batch) | Recursive: Flint (free) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | z-ai/glm-5.3-flash:batch | recursive/flint-v1.0:free | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.18 | $0 / $0 | Recursive: Flint (free) |
| Cache Read Price (per 1M) | $0.025/1M (50% Off) | $0/1M (50% Off) | Recursive: Flint (free) |
| Context Window / Max Output | 1024K In / 128K Out | 256K In / 230K Out | Recursive: Flint (free) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Z.ai: GLM 5.3 Flash (batch) (-0ms) |
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains
Flint is an open-weight mixture-of-experts model from Recursive, with about 2.5B active parameters out of 40B total, built by Recursive's autoresearch system Eureka Machine for cod
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 5.3 Flash (batch) to Recursive: Flint (free)
Flint is an open-weight mixture-of-experts model from Recursive, with about 2.5B active parameters out of 40B total, built by Recursive's autoresearch system Eureka Machine for cod Verified P90 latency of 280ms.