Z.ai (Zhipu), open weights

# GLM-4.7-Flash

> GLM-4.7-Flash by Z.ai (Zhipu), released January 2026. Ranked #180 of 354 with a Noometry Index of 38.8. API: $0.06 in / $0.40 out per M tokens. 200K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/glm-4-7-flash
- Last updated: 2026-10-10
- Title: GLM-4.7-Flash Benchmarks, Price & Rank (October 2026)

GLM-4.7-Flash by Z.ai (Zhipu) ranks 180th of 354 ranked models on the Noometry Index as of October 2026, with a score of 38.8. Its strongest category is coding, where it ranks 135th. API pricing starts at $0.06 per million input tokens and $0.40 per million output tokens, with a 200K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #180 of 354
- **Index score:** 38.8
- **Evidence:** Confirmed 21 results
- **Provider:** [Z.ai (Zhipu)](https://noometry.com/providers/zai)
- **Released:** January 19, 2026
- **Weights:** Open weights
- **Reasoning:** Yes
- **Context window:** 200K
- **Max output:** 131K
- **Input price:** $0.06 / M
- **Output price:** $0.40 / M
- **Blended price:** $0.15 / M
- **Output speed:** Not measured
- **Value:** #25 of 219
- **Knowledge cutoff:** April 2025
- **Input:** text
- **Hugging Face:** [zai-org/GLM-4.7-Flash](https://huggingface.co/zai-org/GLM-4.7-Flash)

## Category scores

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

GLM-4.7-Flash category scores

1.  Coding 40.6
2.  Reasoning 20.9
3.  Math 36.1
4.  Knowledge 35.5
5.  Multilingual 46.5
6.  Instruction Following 70.1
7.  Long Context 40.9
8.  Writing & Preference 47.4
9.  020406080

GLM-4.7-Flash category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 40.6 | #135 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 20.9 | #229 | 2 |
| [Math](https://noometry.com/best/math) | 36.1 | #173 | 2 |
| [Knowledge](https://noometry.com/best/knowledge) | 35.5 | #184 | 3 |
| [Multilingual](https://noometry.com/best/multilingual) | 46.5 | #158 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 70.1 | #167 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 40.9 | #148 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 47.4 | #210 | 4 |

## Strengths and weaknesses

Categories where GLM-4.7-Flash places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

GLM-4.7-Flash: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 40.6 | +1.9 | #135 of 340, top 40% |
| [Long Context](https://noometry.com/best/long-context) | 40.9 | −0.0 | #148 of 296, top 50% |
| [Math](https://noometry.com/best/math) | 36.1 | −0.4 | #173 of 327, top 53% |

### Weakest categories

GLM-4.7-Flash: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Writing & Preference](https://noometry.com/best/writing) | 47.4 | −6.3 | #210 of 312, top 68% |
| [Reasoning](https://noometry.com/best/reasoning) | 20.9 | −2.7 | #229 of 350, top 66% |
| [Knowledge](https://noometry.com/best/knowledge) | 35.5 | −1.9 | #184 of 314, top 59% |

## Closest competitors

The models ranked just above and below GLM-4.7-Flash. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to GLM-4.7-Flash
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Mistral Large 3](https://noometry.com/models/mistral-large-3) | #176 | 39.1 | $0.38 | 7 | [Compare](https://noometry.com/compare/glm-4-7-flash-vs-mistral-large-3) |
| [GLM-4.5-Air](https://noometry.com/models/glm-4-5-air) | #177 | 38.9 | $0.43 | 160 | [Compare](https://noometry.com/compare/glm-4-5-air-vs-glm-4-7-flash) |
| [MiniMax-M2.1](https://noometry.com/models/minimax-m2-1) | #178 | 38.9 | $0.52 | — | [Compare](https://noometry.com/compare/glm-4-7-flash-vs-minimax-m2-1) |
| [Qwen3-30B-A3B](https://noometry.com/models/qwen3-30b-a3b) | #179 | 38.9 | $0.21 | 42 | [Compare](https://noometry.com/compare/glm-4-7-flash-vs-qwen3-30b-a3b) |
| [Qwen2.5 Plus 1127](https://noometry.com/models/qwen2-5-plus) | #181 | 38.8 | — | — | [Compare](https://noometry.com/compare/glm-4-7-flash-vs-qwen2-5-plus) |
| [Qwen3.6 Flash](https://noometry.com/models/qwen3-6-flash) | #182 | 38.8 | $0.42 | — | [Compare](https://noometry.com/compare/glm-4-7-flash-vs-qwen3-6-flash) |
| [Olmo 3 32b Think](https://noometry.com/models/olmo-3-32b-think) | #183 | 38.7 | — | — | [Compare](https://noometry.com/compare/glm-4-7-flash-vs-olmo-3-32b-think) |
| [Hunyuan Large 2025 02 10](https://noometry.com/models/hunyuan-large) | #184 | 38.6 | — | — | [Compare](https://noometry.com/compare/glm-4-7-flash-vs-hunyuan-large) |

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-4.7-Flash Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1383 | #146 of 294, top 50% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

GLM-4.7-Flash Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 0% | #114 of 129, top 89% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 0% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1356 | #156 of 297, top 53% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

GLM-4.7-Flash Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 58.3% | #104 of 173, top 61% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 25% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1355 | #162 of 285, top 57% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

GLM-4.7-Flash Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 60.5% | #114 of 186, top 62% |  | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 45.1% |  | none | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-30 |
| [Vectara Hallucination Rate](https://noometry.com/benchmarks/vectara-hallucination) (lower is better) | 9.3% | #45 of 96, top 47% |  | [Vectara Hallucination Leaderboard](https://github.com/vectara/hallucination-leaderboard) |  |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1357 | #151 of 273, top 56% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

GLM-4.7-Flash Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1330 | #158 of 297, top 54% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1403 | #138 of 285, top 49% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1332 | #151 of 223, top 68% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1337 | #140 of 231, top 61% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1283 | #137 of 213, top 65% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1332 | #157 of 283, top 56% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1350 | #144 of 226, top 64% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

GLM-4.7-Flash Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1327 | #160 of 298, top 54% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

GLM-4.7-Flash Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1345 | #154 of 291, top 53% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

GLM-4.7-Flash Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1351 | #158 of 297, top 54% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1297 | #168 of 295, top 57% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 1125 | #93 of 115, top 81% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1342 | #159 of 295, top 54% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

GLM-4.7-Flash API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html) | $0.07 | $0.40 | — | 2026-10-10 |
| [deepinfra](https://deepinfra.com/models) | $0.06 | $0.40 | $0.01 | 2026-10-10 |
| [openrouter](https://openrouter.ai/z-ai/glm-4.7-flash) | $0.0605 | $0.40 | — | 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-4.7-Flash

-   [GLM-4.7-Flash vs Qwen3-30B-A3B](https://noometry.com/compare/glm-4-7-flash-vs-qwen3-30b-a3b)
-   [GLM-4.7-Flash vs Qwen2.5 Plus 1127](https://noometry.com/compare/glm-4-7-flash-vs-qwen2-5-plus)
-   [GLM-4.7-Flash vs MiniMax-M2.1](https://noometry.com/compare/glm-4-7-flash-vs-minimax-m2-1)
-   [GLM-4.7-Flash vs Qwen3.6 Flash](https://noometry.com/compare/glm-4-7-flash-vs-qwen3-6-flash)
-   [GLM-4.7-Flash vs GLM-4.5-Air](https://noometry.com/compare/glm-4-5-air-vs-glm-4-7-flash)
-   [GLM-4.7-Flash vs Olmo 3 32b Think](https://noometry.com/compare/glm-4-7-flash-vs-olmo-3-32b-think)
-   [GLM-4.7-Flash vs GPT-6 Astra](https://noometry.com/compare/glm-4-7-flash-vs-gpt-6-astra)
-   [GLM-4.7-Flash vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-glm-4-7-flash)
-   [GLM-4.7-Flash vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-glm-4-7-flash)
-   [GLM-4.7-Flash vs Kimi K3](https://noometry.com/compare/glm-4-7-flash-vs-kimi-k3)
-   [GLM-4.7-Flash vs Grok 4.6](https://noometry.com/compare/glm-4-7-flash-vs-grok-4-6)
-   [GLM-4.7-Flash vs Qwen3.8 Max](https://noometry.com/compare/glm-4-7-flash-vs-qwen3-8-max)
-   [GLM-4.7-Flash vs Muse Spark 1.3](https://noometry.com/compare/glm-4-7-flash-vs-muse-spark-1-3)
-   [GLM-4.7-Flash vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-glm-4-7-flash)

## 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-5V-Turbo](https://noometry.com/models/glm-5v-turbo)43.8
-   [GLM-4.5](https://noometry.com/models/glm-4-5)42.0
-   [GLM-4.7](https://noometry.com/models/glm-4-7)42.0

## Frequently asked questions

### How good is GLM-4.7-Flash?

GLM-4.7-Flash by Z.ai (Zhipu) ranks 180th of 354 ranked models on the Noometry Index as of October 2026, with a score of 38.8. Its strongest category is coding, where it ranks 135th. API pricing starts at $0.06 per million input tokens and $0.40 per million output tokens, with a 200K-token context window.

### How much does GLM-4.7-Flash cost?

GLM-4.7-Flash costs $0.06 per million input tokens and $0.40 per million output tokens on deepinfra, with cached input at $0.01.

### What is GLM-4.7-Flash's context window?

GLM-4.7-Flash accepts up to 200K tokens of input and can write up to 131K tokens in one response.

### Is GLM-4.7-Flash open source?

Yes. GLM-4.7-Flash's weights are downloadable from Hugging Face (zai-org/GLM-4.7-Flash); check the license for commercial terms.

### What are GLM-4.7-Flash's strengths and weaknesses?

Relative to other ranked models, GLM-4.7-Flash places best in coding, long context, math and lowest in writing & preference, reasoning, knowledge.

### What is GLM-4.7-Flash best at?

Its best category is coding, where it ranks 135th on Noometry.

### Cite this page

Noometry. (2026). GLM-4.7-Flash benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/glm-4-7-flash

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/glm-4-7-flash.md).