Cohere: Command R7B (12-2024) vs Z.ai: GLM 5: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Cohere: Command R7B (12-2024) (cohere/command-r7b-12-2024) vs Z.ai: GLM 5 (z-ai/glm-5). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Cohere: Command R7B (12-2024) (cohere/command-r7b-12-2024) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Cohere: Command R7B (12-2024): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0187/1M) or route via asynchronous Batch API for 50% off standard token rates.
Z.ai: GLM 5 (z-ai/glm-5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 5: 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.
In Etuki October 2026 FinOps telemetry comparing Cohere: Command R7B (12-2024) (API ID: cohere/command-r7b-12-2024) vs Z.ai: GLM 5 (API ID: z-ai/glm-5), Cohere: Command R7B (12-2024) offers lower standard input pricing at $0.0375/1M tokens ($0.15/1M output), while Cohere: Command R7B (12-2024) leads in cached prefix economics at $0.0187/1M tokens (50% discount). Cohere: Command R7B (12-2024) 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 | Cohere: Command R7B (12-2024) | Z.ai: GLM 5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | cohere/command-r7b-12-2024 | z-ai/glm-5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.0375 / $0.15 | $1 / $3.2 | Cohere: Command R7B (12-2024) |
| Cache Read Price (per 1M) | $0.0187/1M (50% Off) | $0.5/1M (50% Off) | Cohere: Command R7B (12-2024) |
| Context Window / Max Output | 125K In / 4K Out | 200K In / 128K Out | Z.ai: GLM 5 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Cohere: Command R7B (12-2024) (-0ms) |
Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-gr
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 Cohere: Command R7B (12-2024) to Z.ai: GLM 5
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-gr Verified P90 latency of 280ms.