- 🔒 Runs inside a Trusted Execution Environment with hardware attestation evidence
- 🏢 Z.ai's flagship GLM text model, listed with a September 2026 release date
- 📏 1M-token context window for long documents and extended agent runs
- 🧠 Catalog capabilities include reasoning and code-optimized generation
- 🔧 Function calling and web search support agentic, tool-using workflows
- ⚡ Sibling GLM 5.3 Flash is offered as the lighter-weight option
- 💬 Text in, text out — no image or audio input
- 📚 Distributed under a custom Z.ai license rather than a standard open one
Z.ai, formally Knowledge Atlas Technology Joint Stock Co., Ltd., is a Chinese technology company specializing in artificial intelligence. Previously known internationally as Zhipu AI, the company rebranded to Z.ai in 2025. Its core focus is the GLM family of large language…
Explore 16 more models by Z.ai →GLM 5.3 is Z.ai's flagship large language model offered here in a privacy-hardened deployment. According to the catalog record, the model runs inside a Trusted Execution Environment, and hardware attestation evidence is published so callers can independently verify the enclave's identity and configuration before sending data. Functionally it corresponds to the standard GLM 5.3 endpoint, with reasoning, code-oriented generation, function calling and web search among its listed capabilities.
Compared with its same-family predecessor, GLM 5.2, this entry is the newer 5.3 generation in the confidential-compute line, released roughly three months later. Both are text-only and carry a one-million-token context window; the catalog does not publish parameter counts or quantization details for either, and no verified benchmark figures are available for citation here.
This entry is listed under a custom Z.ai license rather than a standard open-source one. Related entries in the catalog include GLM 5.3 Flash for lighter workloads, plus earlier generations such as GLM 5.1 and GLM 5.
Choose this variant when you need a very long context together with attestable confidentiality; choose a non-TEE sibling if attestation is not a requirement.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Routing | Input $/M | Cached $/M | Output $/M | Categories | API |
|---|---|---|---|---|---|---|---|
| Fire Ant 🔥🐜 0xbe05…bc5d | 50.00 | gated | $1.2748 | $0.2367 | $4.0065 | chat,coding,fast,tools | — |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the AntSeed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on AntSeed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.