How does GLM 5.1 Thinking compare with other LLMs?

AskClash compares GLM 5.1 Thinking against nearby AI models using public benchmark scores, pricing, context window, and access details.

What benchmarks are tracked for GLM 5.1 Thinking?

The page shows cached public benchmark cells 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 · Proprietary

GLM 5.1 Thinking benchmarks, pricing, and LLM comparison.

Compare GLM 5.1 Thinking vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.

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Rank #17AskClash overall score: 57.5

$0 / $0Input and output token price, when published. Context: 203K.

API/OAuthBilling and access path cached for this model row.

GLM 5.1 Thinking 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.

Overall57.5

Benchmark cells9

Context203K

CreatorZhipu AI

GLM 5.1 Thinking 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.

Coding Agent Index

52.3 score

HLE

52.3 score

GPQA

86.2 score

SWE-Pro

58.4 score

Terminal-Bench

63.5 score

MCP Atlas

71.8 score

Finance Agent

44.8 score

Tau2

97.7 score

GLM 5.1 Thinking vs other AI models

Use these comparison links to evaluate GLM 5.1 Thinking against nearby LLMs by benchmark score, price, context window, and provider.

Claude Mythos/Fable 5 vs GLM 5.1 Thinking Claude Opus 4.8 (Adaptive) vs GLM 5.1 Thinking GPT-5.5 xHigh vs GLM 5.1 Thinking GLM-5.2 vs GLM 5.1 Thinking Claude Opus 4.7 (Adaptive) vs GLM 5.1 Thinking Qwen3.7 Max vs GLM 5.1 Thinking GPT-5.4 xHigh vs GLM 5.1 Thinking Kimi K2.7 Code vs GLM 5.1 Thinking

Related AI and tech coverage

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

SGLang — RadixAttention Inference Server v0.5.11 Release Notes

- **CUDA 13 + Torch 2.11**: Default CUDA version moves to 13.0 across SGLang, sgl-kernel, and Docker images, and PyTorch is upgraded from 2.9 to 2.11 — modernizing the build matrix and unlocking newer kernels: #21247, #24162, #24183, #23593 ([tracking issue #21498](https://github.com/sgl-project/sglang/issues/21498)) - **Day-0 / New Model Support**: Gemma 4, GLM-5.1, Qwen3.6, MiMo-V2.5 / V2.5-Pro, Ling-2.6-Flash, Mistral Medium 3.5, and Kimi-K2.6 — with cookbook recipes for tuned deployment comm

Zhipu launches GLM-5.2, says it markedly improves coding and agentic tasks, with strong long-horizon capabilities and a 1M context window, under an MIT license (Z.ai)

Techmeme

Reward Hacking in Language Model Agents: Revisiting AI Safety Gridworlds

Skill-Augmented AI Agents for Medical Research Analysis: An Exploratory Multi-Model Human Evaluation in an NSCLC Transcriptomic Biomarker Task

Last cached leaderboard date: June 15, 2026. This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.