Mistral: Mistral Medium 3.5 (batch) vs Z.ai: GLM 5.3 (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral: Mistral Medium 3.5 (batch) (mistralai/mistral-medium-3-5:batch) vs Z.ai: GLM 5.3 (batch) (z-ai/glm-5.3:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral: Mistral Medium 3.5 (batch) (mistralai/mistral-medium-3-5:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Medium 3.5 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.375/1M) or route via asynchronous Batch API for 50% off standard token rates.
Z.ai: GLM 5.3 (batch) (z-ai/glm-5.3:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 5.3 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.225/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Mistral: Mistral Medium 3.5 (batch) (API ID: mistralai/mistral-medium-3-5:batch) vs Z.ai: GLM 5.3 (batch) (API ID: z-ai/glm-5.3:batch), Z.ai: GLM 5.3 (batch) offers lower standard input pricing at $0.45/1M tokens ($2/1M output), while Z.ai: GLM 5.3 (batch) leads in cached prefix economics at $0.225/1M tokens (50% discount). Mistral: Mistral Medium 3.5 (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 | Mistral: Mistral Medium 3.5 (batch) | Z.ai: GLM 5.3 (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-medium-3-5:batch | z-ai/glm-5.3:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.75 / $3.75 | $0.45 / $2 | Z.ai: GLM 5.3 (batch) |
| Cache Read Price (per 1M) | $0.375/1M (50% Off) | $0.225/1M (50% Off) | Z.ai: GLM 5.3 (batch) |
| Context Window / Max Output | 256K In / 205K Out | 1024K In / 128K Out | Mistral: Mistral Medium 3.5 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral: Mistral Medium 3.5 (batch) (-0ms) |
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, a
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context w
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 Mistral: Mistral Medium 3.5 (batch) to Z.ai: GLM 5.3 (batch)
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context w Verified P90 latency of 280ms.