Anthropic: Claude Opus 4.5 (batch) vs Z.ai: GLM 4.6V: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Anthropic: Claude Opus 4.5 (batch) (anthropic/claude-opus-4.5:batch) vs Z.ai: GLM 4.6V (z-ai/glm-4.6v). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Anthropic: Claude Opus 4.5 (batch) (anthropic/claude-opus-4.5:batch) — $25,000 Startup Credits & 50% Cache Promo
Anthropic's Q4 2026 developer promotion combines $25,000 in Claude API credits for early-stage builders with a permanent 20% base price reduction on Opus 5.5 ($4/$20), 0.05x ($0.20/1M) prompt cache reads, and 50% off Batch API processing ($2/$10 with 300K max output).
Z.ai: GLM 4.6V (z-ai/glm-4.6v) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 4.6V: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Anthropic: Claude Opus 4.5 (batch) (API ID: anthropic/claude-opus-4.5:batch) vs Z.ai: GLM 4.6V (API ID: z-ai/glm-4.6v), Z.ai: GLM 4.6V offers lower standard input pricing at $0.3/1M tokens ($0.9/1M output), while Z.ai: GLM 4.6V leads in cached prefix economics at $0.15/1M tokens (50% discount). Anthropic: Claude Opus 4.5 (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 | Anthropic: Claude Opus 4.5 (batch) | Z.ai: GLM 4.6V | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | anthropic/claude-opus-4.5:batch | z-ai/glm-4.6v | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2.5 / $12.5 | $0.3 / $0.9 | Z.ai: GLM 4.6V |
| Cache Read Price (per 1M) | $1.25/1M (50% Off) | $0.15/1M (50% Off) | Z.ai: GLM 4.6V |
| Context Window / Max Output | 195K In / 63K Out | 128K In / 32K Out | Anthropic: Claude Opus 4.5 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Anthropic: Claude Opus 4.5 (batch) (-0ms) |
Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal ca
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K to
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 Anthropic: Claude Opus 4.5 (batch) to Z.ai: GLM 4.6V
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K to Verified P90 latency of 280ms.