---
title: "GLM-5.1 — LLM-TEST.com"
url: /models/glm-5-1/
canonical_url: https://llm-test.com/models/glm-5-1/
language: en
type: model
summary: "An incremental refinement of GLM-5 that tightened instruction-following and coding. It is a dependable, low-cost open-weight option for mainstream tasks."
last_updated: "2026-11-05"
---

# GLM-5.1

_Zhipu AI · Balanced · open weights_

An incremental refinement of GLM-5 that tightened instruction-following and coding. It is a dependable, low-cost open-weight option for mainstream tasks.

## At a glance

- Released: Mar 4, 2026
- Provider: Zhipu AI
- Context window: 200,000 tokens
- Max output: 32,000 tokens
- Modalities: Text → text
- Knowledge cutoff: November 2025
- API model ID: `glm-5.1`
- License: Open weights (MIT)

## Pricing

- Standard: $1.40 input / $4.40 output per 1M tokens
- Example: a 1,500-token prompt + 650-token answer ≈ $0.005 (standard)

## What's new vs GLM-5 (December 2025)

- Cleaner instruction-following and formatting than GLM-5
- Better structured-output reliability
- Shorter max output than later 5.x releases

## Best use cases

- **Everyday reasoning** — Covers routine analysis and Q&A at low cost.
- **Content drafting** — Generates solid long-form drafts for editing.
- **On-prem deployment** — Runs locally under MIT for privacy-sensitive workloads.

## Strengths

- Reliable formatting
- Open weights
- Inexpensive

## Limitations

- Older cutoff
- Outclassed by newer 5.x models

## Where to get access

- Consumer app: Z.ai chat (GLM) — https://chat.z.ai
- API: the Z.ai API console — https://z.ai/manage-apikey/apikey-list
- Also available: open weights on Hugging Face (GLM)
- Docs: https://docs.z.ai

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/