As of: 2026-11-13 13:49 CET.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/
Canonical page: https://postcutoff.com/m/glm-5-3/

# GLM-5.3

Zhipu AI (Z.ai), GLM-5 family. Status: current. Type: reasoning model. Released: 2026-08. Training cutoff: not published.

## How to call it

| Provider | Model id | Endpoint | Docs |
|---|---|---|---|
| Z.ai API | `glm-5.3` | https://api.z.ai/api/paas/v4 | https://docs.z.ai/guides/llm/glm-5.3 |
| Z.ai API (Anthropic format) | `glm-5.3` | https://api.z.ai/api/anthropic | https://docs.z.ai/guides/llm/glm-5.3 |
| Alibaba Cloud Model Studio | `ZHIPU/GLM-5.3` |  | https://www.alibabacloud.com/help/en/model-studio/models |
| OpenRouter | `z-ai/glm-5.3` |  | https://openrouter.ai/z-ai/glm-5.3 |
| Hugging Face |  |  | https://huggingface.co/zai-org/GLM-5.3 |
| Baseten (GLM-5.3 Fast, speed-optimized) | `zai-org/GLM-5.3` | https://inference.baseten.co/v1 | https://www.baseten.co/library/glm-53-fast/ |
| Vercel AI Gateway (GLM 5.3 Fast; routed to Baseten or Alibaba; $2.10 in / $6.60 out) |  |  | https://vercel.com/ai-gateway/models/glm-5.3-fast |
| AWS Bedrock (GA Oct 5, 2026; prompt caching supported) |  |  | https://aws.amazon.com/about-aws/whats-new/2026/10/amazon-bedrock-glm-5-3/ |
| Web app |  |  | https://chat.z.ai |

## Pricing

- Input: $1.40 per 1M tokens
- Output: $4.40 per 1M tokens
- Cache read: $0.26 per 1M tokens
- Unit as published: per 1M tokens (USD)
- Source: https://docs.z.ai/guides/overview/pricing
- Last checked: 2026-10-13

## Specs

- Input: text
- Output: text
- Context window: 1,000,000 tokens
- Max output: 128,000 tokens
- Open weights: yes
- Licence: glm-5.3 (custom)

## What it has not seen

- No published training cutoff. Counted from its release (2026-08): at least 1,604 AI events since (356 major, 72 historic), as of 2026-11-13.
- Everything since July 2026: https://postcutoff.com/since/2026-07/

## What stands out

- Post-training-only jump in coding: Same base as GLM-5.2; Z.ai reports +50% on its Code Bench and open-model SOTA on Terminal Bench 3.0 and Agents' Last Exam (CLI). Source: https://docs.z.ai/guides/llm/glm-5.3
- Emergent cyber capability: Best CyberGym vulnerability-discovery score to date per Z.ai; exploitation benchmark scores more than double GLM-5.2's. Source: https://docs.z.ai/guides/llm/glm-5.3
- Always-on reasoning with effort levels: thinking.type disabled no longer allowed; reasoning_effort low/high/max (default max). Source: https://docs.z.ai/guides/llm/glm-5.3
- Coding Plan integration: Available in the GLM Coding Plan (points-based; off-peak/weekend calls cost 50% points) for Claude Code, Cline, OpenCode etc. Source: https://docs.z.ai/guides/llm/glm-5.3

## Notes

Z.ai flagship. GLM 5.3 Fast (speed-optimized GLM-5.3 at $2.10 in / $0.21 cached / $6.60 out, 1M context, 262k max output per Vercel) appeared on Baseten and Vercel AI Gateway around Oct 7, 2026 (LLM Gateway timeline); it is not on Z.ai's own pricing page as of 2026-10-09 and no Z.ai announcement was found. Text-only input. Migration: requests with thinking disabled fail - set enabled + reasoning_effort low. Coding Plan base URL is https://api.z.ai/api/coding/paas/v4. Release day not verified (OpenRouter 2026-08-18, HF 2026-08-25). GLM-5.2 (same price, MIT weights) still listed. A speed-optimized 'GLM-5.3 Fast' API appeared on Oct 7, 2026 (LLM Gateway release timeline); Baseten lists it at $2.10 input / $0.21 cached / $6.60 output per 1M tokens, 753B-A40B, custom license; no Z.ai announcement or throughput figure found (unverified). GLM-5.3-Highspeed: seen on 2026-10-13 in a gray release inside ZCode 3.15.1 for randomly selected subscribers, about 490 tokens/s in one user's test (Pandaily citing QbitAI); not announced by Zhipu, no API id or price on docs.z.ai.

Z.ai's top model for long-horizon software engineering, terminal agents and security research; 1M context, 128K output.

```bash
curl https://api.z.ai/api/paas/v4/chat/completions \
 -H "Authorization: Bearer $ZAI_API_KEY" -H "Content-Type: application/json" \
 -d '{"model":"glm-5.3","thinking":{"type":"enabled"},"reasoning_effort":"max","messages":[{"role":"user","content":"Hello"}]}'
```

Sources: https://docs.z.ai/guides/llm/glm-5.3 · https://docs.z.ai/guides/overview/pricing · https://huggingface.co/zai-org/GLM-5.3

Model page: https://postcutoff.com/m/glm-5-3/