Z.ai: GLM 4.5 vs Mistral: Mistral Large 3 2512: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Z.ai: GLM 4.5 (z-ai/glm-4.5) vs Mistral: Mistral Large 3 2512 (mistralai/mistral-large-2512). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Z.ai: GLM 4.5 (z-ai/glm-4.5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 4.5: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.3/1M) or route via asynchronous Batch API for 50% off standard token rates.
Mistral: Mistral Large 3 2512 (mistralai/mistral-large-2512) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Large 3 2512: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Z.ai: GLM 4.5 (API ID: z-ai/glm-4.5) vs Mistral: Mistral Large 3 2512 (API ID: mistralai/mistral-large-2512), Mistral: Mistral Large 3 2512 offers lower standard input pricing at $0.5/1M tokens ($1.5/1M output), while Mistral: Mistral Large 3 2512 leads in cached prefix economics at $0.25/1M tokens (50% discount). Z.ai: GLM 4.5 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 4.5 | Mistral: Mistral Large 3 2512 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | z-ai/glm-4.5 | mistralai/mistral-large-2512 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.6 / $2.2 | $0.5 / $1.5 | Mistral: Mistral Large 3 2512 |
| Cache Read Price (per 1M) | $0.3/1M (50% Off) | $0.25/1M (50% Off) | Mistral: Mistral Large 3 2512 |
| Context Window / Max Output | 128K In / 96K Out | 256K In / 205K Out | Mistral: Mistral Large 3 2512 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Z.ai: GLM 4.5 (-0ms) |
GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of u
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apa
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 4.5 to Mistral: Mistral Large 3 2512
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apa Verified P90 latency of 280ms.