---
title: "Z.ai: GLM 5.1 — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/z-ai__glm-5.1/
description: "Z.ai: GLM 5.1: $0.966/M in, $3.04/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper."
---

# Z.ai: GLM 5.1 — price, capability and what beats it · Undominated.ai

> Z.ai: GLM 5.1: $0.966/M in, $3.04/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper.

[Leaderboard](/) / Z.ai

# GLM 5.1

Z.ai · released 2026-04-07

 $1.48 per million tokens, balanced Balanced Summarise Chat Code gen Agentic

## DeepSeek V4 Flash 0731 is both better and cheaper.

It scores **+10.8** higher and costs **93% less** ($0.105/M against $1.48/M) on this workload — and it does everything this model does.

[Gemini 3.7 Flash](/models/google__gemini-3.7-flash) is cheaper still (49% less) but drops 128K → 66K max output.

### Every price dimension

| Input | $0.966 /M |
| --- | --- |
| Output | $3.04 /M |
| Cached input | $0.179 /M |

### Independent scores

| Intelligence | 41 |
| --- | --- |
| Coding | 55.8 |
| Agentic | 30.6 |
| LMArena Elo | 1464.1 default |

Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.

#### Best rankings by task

 - dataviz #3 of 142 1366
- agenticslides #3 of 16 1245
- agenticslides(python-pptx) #4 of 16 1240
- pptxslides #4 of 14 1241
- python-pptxslides #5 of 35 1258
- agentichtmlslides #6 of 16 1205
- agenticslides(html) #6 of 16 1204
- 3d #8 of 136 1336

### Capability

| Context window | 205K |
| --- | --- |
| Max output | 128K |
| Input modes | text |
| Tool use | yes |
| Reasoning | optional |

### Provenance

| Price source | openrouter.ai |
| --- | --- |
| Fetched | 2026-08-24 |
| Quality data | verified |

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...