How does GLM-5.2 compare with other LLMs?

AskClash compares GLM-5.2 against nearby AI models using public benchmark scores, pricing, context window, and access details.

What benchmarks are tracked for GLM-5.2?

The page shows cached published benchmark signals such as HLE, GPQA, SWE-bench, SWE-Pro, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and related model scores when available.

LLM Leaderboard · Open Weight

GLM-5.2 leaderboard — benchmarks, pricing, and comparisons.

Compare GLM-5.2 vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.

Open live LLM leaderboard Open in app

Rank #11AskClash overall score: 70.8

$1.40 / $4.40Input and output token price, when published. Context: 1M.

Visit websiteVisit the model provider's website.

GLM-5.2 benchmark snapshot

AskClash combines public LLM benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.

Overall70.8

Benchmark cells11

Context1M

CreatorZ.AI

GLM-5.2 public benchmark scores

Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.

RWT

8.5 score

Coding Agent Index

74.4 score

HLE

54.7 score

GPQA

91.2 score

IFEval

73.3 score

SWE-Pro

62.1 score

SWE-Atlas

74.4 score

Terminal-Bench

82.7 score

DeepSWE

43.8 score

MCP Atlas

76.8 score

Tau2

99.1 score

GLM-5.2 vs other AI models

Use these comparison links to evaluate GLM-5.2 against nearby LLMs by benchmark score, price, context window, and provider.

Claude Fable 5 vs GLM-5.2 GPT-5.6 Sol vs GLM-5.2 Kimi K3 vs GLM-5.2 Claude Opus 4.8 vs GLM-5.2 Grok 4.5 vs GLM-5.2 Muse Spark 1.1 vs GLM-5.2 Claude Opus 4.7 vs GLM-5.2 GPT-5.6 Terra vs GLM-5.2

Related AI and tech coverage

Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.

Hugging Face says it used the open-weight GLM-5.2 hosted on its own compute for breach forensics, after US frontier model safety guardrails blocked the requests (Edward Targett/The Stack)

Edward Targett / The Stack : Hugging Face says it used the open-weight GLM-5.2 hosted on its own compute for breach forensics, after US frontier model safety guardrails blocked the requests — The unknown attacker “abused two code-execution paths in our dataset

Kimi K3 vs DeepSeek V4 Pro vs GLM-5.2: Open Trillion-Scale MoE Models Compared on Benchmarks, License, and Serving Cost

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Analysis: recent open weight models lag frontier closed models' cyber capabilities by 4 to 7 months, a narrower gap than the 6 to 10 months through most of 2025 (AI Security Institute)

How Far Behind the Frontier are Leading Open Weight Models on Cyber? | AISI Work Read the Frontier AI Trends Report Please enable javascript for this website. A A About Research Grants Blog Contact Careers Home About Research Grants Blog Careers Blog Cyber & A

Last cached leaderboard date: June 16, 2026. This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.