GLM-5.2
According to BenchLM.ai, GLM-5.2 ranks #6 out of 124 models on the provisional leaderboard with an overall score of 90/100. It also ranks #9 out of 33 on the verified leaderboard. This places it in the upper tier of AI models, with competitive scores across most benchmark categories.
GLM-5.2 is a open weight model with a 1M token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
GLM-5.2 sits inside the GLM-5 family alongside GLM-5, GLM-5 (Reasoning), GLM-5.1, GLM-5V-Turbo, GLM-5-Turbo. BenchLM links it directly to GLM-5.1 as the earlier related model in that lineage. This profile currently has 32 of 249 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Ranking Distribution
Category rank across 3 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
Inst. Following
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
GLM-5 Family
flagship · 5.2
Compare This Model
See how GLM-5.2 stacks up against similar models
Frequently Asked Questions
How does GLM-5.2 perform overall in AI benchmarks?
GLM-5.2 currently ranks #6 out of 124 models on BenchLM's provisional leaderboard with an overall score of 90. It also ranks #9 out of 33 on the verified leaderboard. It is created by Z.AI and features a 1M context window.
Is GLM-5.2 good for knowledge and understanding?
GLM-5.2 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is GLM-5.2 good for coding and programming?
GLM-5.2 has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is GLM-5.2 good for mathematics?
GLM-5.2 has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is GLM-5.2 good for reasoning and logic?
GLM-5.2 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is GLM-5.2 good for agentic tool use and computer tasks?
GLM-5.2 has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is GLM-5.2 good for multimodal and grounded tasks?
GLM-5.2 has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is GLM-5.2 good for instruction following?
GLM-5.2 has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Is GLM-5.2 open source?
Yes, GLM-5.2 is an open weight model created by Z.AI, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to GLM-5.2?
GLM-5.2 belongs to the GLM-5 family. Related variants on BenchLM include GLM-5, GLM-5 (Reasoning), GLM-5.1, GLM-5V-Turbo, GLM-5-Turbo.
Does GLM-5.2 have full benchmark coverage on BenchLM?
Not yet. GLM-5.2 currently has 32 published benchmark scores out of the 249 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of GLM-5.2?
GLM-5.2 has a context window of 1M, which determines how much text it can process in a single interaction.
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