SpaceXAI: Grok 4.3 (batch) vs Z.ai: GLM 5 Turbo: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing SpaceXAI: Grok 4.3 (batch) (x-ai/grok-4.3:batch) vs Z.ai: GLM 5 Turbo (z-ai/glm-5-turbo). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
SpaceXAI: Grok 4.3 (batch) (x-ai/grok-4.3:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for SpaceXAI: Grok 4.3 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.5/1M) or route via asynchronous Batch API for 50% off standard token rates.
Z.ai: GLM 5 Turbo (z-ai/glm-5-turbo) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 5 Turbo: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.6/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing SpaceXAI: Grok 4.3 (batch) (API ID: x-ai/grok-4.3:batch) vs Z.ai: GLM 5 Turbo (API ID: z-ai/glm-5-turbo), SpaceXAI: Grok 4.3 (batch) offers lower standard input pricing at $1/1M tokens ($2/1M output), while SpaceXAI: Grok 4.3 (batch) leads in cached prefix economics at $0.5/1M tokens (50% discount). SpaceXAI: Grok 4.3 (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 | SpaceXAI: Grok 4.3 (batch) | Z.ai: GLM 5 Turbo | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | x-ai/grok-4.3:batch | z-ai/glm-5-turbo | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $2 | $1.2 / $4 | SpaceXAI: Grok 4.3 (batch) |
| Cache Read Price (per 1M) | $0.5/1M (50% Off) | $0.6/1M (50% Off) | SpaceXAI: Grok 4.3 (batch) |
| Context Window / Max Output | 977K In / 879K Out | 198K In / 128K Out | SpaceXAI: Grok 4.3 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | SpaceXAI: Grok 4.3 (batch) (-0ms) |
Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications r
GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-wor
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 SpaceXAI: Grok 4.3 (batch) to Z.ai: GLM 5 Turbo
GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-wor Verified P90 latency of 280ms.