Z.ai (Zhipu), proprietary

# GLM-5V-Turbo

> GLM-5V-Turbo by Z.ai (Zhipu), released April 2026. Ranked #84 of 354 with a Noometry Index of 43.8. API: $1.20 in / $4 out per M tokens. 200K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/glm-5v-turbo
- Last updated: 2026-10-10
- Title: GLM-5V-Turbo Benchmarks, Price & Rank (October 2026)

GLM-5V-Turbo by Z.ai (Zhipu) ranks 84th of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.8. Its strongest category is multimodal, where it ranks 42nd. API pricing starts at $1.20 per million input tokens and $4 per million output tokens, with a 200K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #84 of 354
- **Index score:** 43.8
- **Evidence:** Confirmed 19 results
- **Provider:** [Z.ai (Zhipu)](https://noometry.com/providers/zai)
- **Released:** April 1, 2026
- **Weights:** Proprietary
- **Reasoning:** Yes
- **Context window:** 200K
- **Max output:** 131K
- **Input price:** $1.20 / M
- **Output price:** $4 / M
- **Blended price:** $1.90 / M
- **Output speed:** Not measured
- **Value:** #147 of 219
- **Knowledge cutoff:** Unknown
- **Input:** text, image, video, pdf

## Category scores

Each category score combines every public result we have in that category.

GLM-5V-Turbo category scores

1.  Coding 42.1
2.  Reasoning 29.7
3.  Math 39.4
4.  Knowledge 40.6
5.  Multimodal 40.9
6.  Multilingual 53.0
7.  Instruction Following 75.0
8.  Long Context 44.0
9.  Writing & Preference 62.5
10.  020406080

GLM-5V-Turbo category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 42.1 | #111 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 29.7 | #89 | 1 |
| [Math](https://noometry.com/best/math) | 39.4 | #106 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 40.6 | #117 | 1 |
| [Multimodal](https://noometry.com/best/multimodal) | 40.9 | #42 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 53.0 | #73 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 75.0 | #80 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 44.0 | #80 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 62.5 | #73 | 3 |

## Strengths and weaknesses

Categories where GLM-5V-Turbo places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

GLM-5V-Turbo: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Writing & Preference](https://noometry.com/best/writing) | 62.5 | +8.7 | #73 of 312, top 24% |
| [Multilingual](https://noometry.com/best/multilingual) | 53.0 | +5.6 | #73 of 297, top 25% |
| [Reasoning](https://noometry.com/best/reasoning) | 29.7 | +6.1 | #89 of 350, top 26% |

### Weakest categories

GLM-5V-Turbo: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 40.6 | +3.3 | #117 of 314, top 38% |
| [Multimodal](https://noometry.com/best/multimodal) | 40.9 | +2.3 | #42 of 128, top 33% |
| [Coding](https://noometry.com/best/coding) | 42.1 | +3.4 | #111 of 340, top 33% |

## Closest competitors

The models ranked just above and below GLM-5V-Turbo. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to GLM-5V-Turbo
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Inkling](https://noometry.com/models/inkling) | #80 | 44.1 | $2.57 | — | [Compare](https://noometry.com/compare/glm-5v-turbo-vs-inkling) |
| [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | #81 | 44.1 | $6 | 85 | [Compare](https://noometry.com/compare/claude-sonnet-4-5-vs-glm-5v-turbo) |
| [Chatgpt 4o Latest 20250326](https://noometry.com/models/chatgpt-4o) | #82 | 43.8 | — | 21 | [Compare](https://noometry.com/compare/chatgpt-4o-vs-glm-5v-turbo) |
| [ERNIE 5.1](https://noometry.com/models/ernie-5-1) | #83 | 43.8 | — | — | [Compare](https://noometry.com/compare/ernie-5-1-vs-glm-5v-turbo) |
| [MiniMax-M3](https://noometry.com/models/minimax-m3) | #85 | 43.8 | $0.52 | — | [Compare](https://noometry.com/compare/glm-5v-turbo-vs-minimax-m3) |
| [Grok 4.3](https://noometry.com/models/grok-4-3) | #86 | 43.8 | $1.56 | — | [Compare](https://noometry.com/compare/glm-5v-turbo-vs-grok-4-3) |
| [Qwen3 Max](https://noometry.com/models/qwen3-max) | #87 | 43.7 | $2.40 | 48 | [Compare](https://noometry.com/compare/glm-5v-turbo-vs-qwen3-max) |
| [MiMo-V2-Omni](https://noometry.com/models/mimo-v2-omni) | #88 | 43.6 | $0.18 | — | [Compare](https://noometry.com/compare/glm-5v-turbo-vs-mimo-v2-omni) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

GLM-5V-Turbo Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1401 | #71 of 113, top 63% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1466 | #62 of 294, top 22% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

GLM-5V-Turbo Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1443 | #76 of 297, top 26% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

GLM-5V-Turbo Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1441 | #70 of 285, top 25% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

GLM-5V-Turbo Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1452 | #70 of 273, top 26% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

GLM-5V-Turbo Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1264 | #41 of 122, top 34% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |
| [LMArena Document](https://noometry.com/benchmarks/arena-document) | 1416 | #34 of 38, top 90% |  | [LMArena](https://lmarena.ai/leaderboard/document) | 2026-09-13 |

### Multilingual

GLM-5V-Turbo Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1420 | #73 of 297, top 25% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1488 | #58 of 285, top 21% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1444 | #81 of 223, top 37% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1423 | #75 of 231, top 33% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1396 | #58 of 213, top 28% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1431 | #65 of 283, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1450 | #49 of 226, top 22% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

GLM-5V-Turbo Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1423 | #70 of 298, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

GLM-5V-Turbo Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1438 | #67 of 291, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

GLM-5V-Turbo Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1437 | #68 of 297, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1416 | #56 of 295, top 19% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1432 | #82 of 295, top 28% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

GLM-5V-Turbo API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [openrouter](https://openrouter.ai/z-ai/glm-5v-turbo) | $1.20 | $4 | $0.24 | 2026-10-10 |
| [zai](https://docs.z.ai/guides/overview/pricing) | $1.20 | $4 | $0.24 | 2026-10-10 |

[All Z.ai (Zhipu) API prices →](https://noometry.com/llm-pricing/zai) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare GLM-5V-Turbo

-   [GLM-5V-Turbo vs ERNIE 5.1](https://noometry.com/compare/ernie-5-1-vs-glm-5v-turbo)
-   [GLM-5V-Turbo vs MiniMax-M3](https://noometry.com/compare/glm-5v-turbo-vs-minimax-m3)
-   [GLM-5V-Turbo vs Chatgpt 4o Latest 20250326](https://noometry.com/compare/chatgpt-4o-vs-glm-5v-turbo)
-   [GLM-5V-Turbo vs Grok 4.3](https://noometry.com/compare/glm-5v-turbo-vs-grok-4-3)
-   [GLM-5V-Turbo vs Claude Sonnet 4.5](https://noometry.com/compare/claude-sonnet-4-5-vs-glm-5v-turbo)
-   [GLM-5V-Turbo vs Qwen3 Max](https://noometry.com/compare/glm-5v-turbo-vs-qwen3-max)
-   [GLM-5V-Turbo vs GPT-6 Astra](https://noometry.com/compare/glm-5v-turbo-vs-gpt-6-astra)
-   [GLM-5V-Turbo vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-glm-5v-turbo)
-   [GLM-5V-Turbo vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-glm-5v-turbo)
-   [GLM-5V-Turbo vs Kimi K3](https://noometry.com/compare/glm-5v-turbo-vs-kimi-k3)
-   [GLM-5V-Turbo vs Grok 4.6](https://noometry.com/compare/glm-5v-turbo-vs-grok-4-6)
-   [GLM-5V-Turbo vs Qwen3.8 Max](https://noometry.com/compare/glm-5v-turbo-vs-qwen3-8-max)
-   [GLM-5V-Turbo vs Muse Spark 1.3](https://noometry.com/compare/glm-5v-turbo-vs-muse-spark-1-3)
-   [GLM-5V-Turbo vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-glm-5v-turbo)

## Other Z.ai (Zhipu) models

-   [GLM-5.3](https://noometry.com/models/glm-5-3)54.8
-   [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash)51.8
-   [GLM-5.2](https://noometry.com/models/glm-5-2)51.1
-   [GLM-5.1](https://noometry.com/models/glm-5-1)47.8
-   [GLM-5](https://noometry.com/models/glm-5)46.1
-   [GLM-4.5](https://noometry.com/models/glm-4-5)42.0
-   [GLM-4.7](https://noometry.com/models/glm-4-7)42.0
-   [GLM-4.6](https://noometry.com/models/glm-4-6)41.4

## Frequently asked questions

### How good is GLM-5V-Turbo?

GLM-5V-Turbo by Z.ai (Zhipu) ranks 84th of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.8. Its strongest category is multimodal, where it ranks 42nd. API pricing starts at $1.20 per million input tokens and $4 per million output tokens, with a 200K-token context window.

### How much does GLM-5V-Turbo cost?

GLM-5V-Turbo costs $1.20 per million input tokens and $4 per million output tokens on Z.ai (Zhipu)'s own API, with cached input at $0.24.

### What is GLM-5V-Turbo's context window?

GLM-5V-Turbo accepts up to 200K tokens of input and can write up to 131K tokens in one response.

### Is GLM-5V-Turbo open source?

No. GLM-5V-Turbo is proprietary and available only through Z.ai (Zhipu)'s API and partner platforms.

### What are GLM-5V-Turbo's strengths and weaknesses?

Relative to other ranked models, GLM-5V-Turbo places best in writing & preference, multilingual, reasoning and lowest in knowledge, multimodal, coding.

### What is GLM-5V-Turbo best at?

Its best category is multimodal, where it ranks 42nd on Noometry.

### Cite this page

Noometry. (2026). GLM-5V-Turbo benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/glm-5v-turbo

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/glm-5v-turbo.md).