GLM-4.7 Benchmark Scores & Performance

Benchmark analysis of GLM-4.7 by Zhipu AI across 14 tests.

Creator

Zhipu AI

Source Type

Open Weight

Reasoning

Reasoning

Context Window

200K

Overall Score

67#28 of 88

Knowledge Benchmarks

MMLU
86
GPQA
84
SuperGPQA
82
OpenBookQA
80

Coding Benchmarks

HumanEval
78

Mathematics Benchmarks

AIME 2023
86
AIME 2024
88
AIME 2025
87
HMMT Feb 2023
82
HMMT Feb 2024
84
HMMT Feb 2025
83
BRUMO 2025
85

Reasoning Benchmarks

SimpleQA
82
MuSR
80

Frequently Asked Questions

How does GLM-4.7 perform overall in AI benchmarks?

GLM-4.7 ranks #28 out of 88 models with an overall score of 67. It is created by Zhipu AI and features a 200K context window.

Is GLM-4.7 good for knowledge and understanding?

GLM-4.7 ranks #28 out of 88 models in knowledge and understanding benchmarks with an average score of 83. There are stronger options in this category.

Is GLM-4.7 good for coding and programming?

GLM-4.7 ranks #29 out of 88 models in coding and programming benchmarks with an average score of 78. There are stronger options in this category.

Is GLM-4.7 good for mathematics?

GLM-4.7 ranks #28 out of 88 models in mathematics benchmarks with an average score of 85. There are stronger options in this category.

Is GLM-4.7 good for reasoning and logic?

GLM-4.7 ranks #28 out of 88 models in reasoning and logic benchmarks with an average score of 81. There are stronger options in this category.

Is GLM-4.7 open source?

Yes, GLM-4.7 is an open weight model created by Zhipu AI, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

What is the context window size of GLM-4.7?

GLM-4.7 has a context window of 200K tokens, which determines how much text it can process in a single interaction.