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GLM-5.2

Z.AICurrentReleased Jun 16, 2026
Overall Score
94Prov. #3 of 124Verified #9 of 33
Arena Elo
N/A
Categories Ranked
0of 8
Price (1M tokens)
$1.4 in / $4.4 out
Speed
N/A
Context
1M
Open WeightSelf-hostReasoning
Confidence
flagship

According to BenchLM.ai, GLM-5.2 ranks #3 out of 124 models on the provisional leaderboard with an overall score of 94/100. It also ranks #9 out of 33 on the verified leaderboard. This places it among the top tier of AI models available in 2026, competing directly with the strongest models from leading AI labs.

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 16 of 247 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 โ€” sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

100.0/ 100
Weight: 22%3 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

85.6/ 100
Weight: 20%4 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

0.0/ 100
Weight: 17%1 benchmark
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

98.0/ 100
Weight: 12%4 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

0.0/ 100
Weight: 5%4 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

0.0/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

0.0/ 100
Weight: 12%0 benchmarks
MMMU-ProOfficeQA ProCharXivCharXiv w/o tools

Inst. Following

0.0/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

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 ยท 5.2

Canonical Entry

GLM-5

Related Earlier Model

GLM-5.1

Frequently Asked Questions

How does GLM-5.2 perform overall in AI benchmarks?

GLM-5.2 currently ranks #3 out of 124 models on BenchLM's provisional leaderboard with an overall score of 94. 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 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 16 published benchmark scores out of the 247 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.

Last updated: June 16, 2026 ยท Runtime metrics stay blank until BenchLM has a sourced snapshot.

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