How does GLM-5.3 compare with other LLMs?

AskClash compares GLM-5.3 against nearby AI models using public benchmark scores, pricing, context window, and access details.

What benchmarks are tracked for GLM-5.3?

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-5.3 benchmarks — leaderboard rank, pricing, and comparisons.

GLM-5.3 ranks #13 on the AskClash LLM leaderboard with an overall score of 66.4. It scores 88.2 on Terminal-Bench. Compare GLM-5.3 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 #13AskClash overall score: 66.4

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

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GLM-5.3 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.

Overall66.4

Benchmark cells10

Context1M

CreatorZ.AI

GLM-5.3 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.

ACB

62.2 score

RWT

8.5 score

HLE

62.5 score

GPQA

91.7 score

Terminal-Bench

88.2 score

DeepSWE

69.0 score

GDPval-AA

1769.0 score

Finance Agent

55.8 score

GLM-5.3 vs other AI models

Use these comparison links to evaluate GLM-5.3 against nearby LLMs by benchmark score, price, context window, and provider.

Claude Fable 5.1 vs GLM-5.3 Claude Opus 5.5 vs GLM-5.3 Claude Fable 5 vs GLM-5.3 Claude Opus 5 vs GLM-5.3 GPT-5.6 Sol vs GLM-5.3 GPT-6 Astra vs GLM-5.3 Gemini 3.8 Flash vs GLM-5.3 Muse Spark 1.3 vs GLM-5.3

Related AI and tech coverage

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

MiMo-V2.6-Pro ties Grok 4.7 (xHigh) and beats GLM-5.3 (max) on Artificial Analysis' Intelligence Index, making it the benchmark's top-scoring open-weight model (Carl Franzen/VentureBeat)

'Better than DeepSeek': Xiaomi's MiMo-V2.6-Pro debuts as the top open weights model in the world alongside cheaper V2.6-Flash | VentureBeat The Independent Voice on AI Orchestration Infrastructure Data Security Technology More Newsletters 'Better than DeepSeek

vLLM Inference Engine v0.30.0 Release Notes

* **New models**: DeepSeek-V4.1-Flash (#56214, #56228, #56208) with the whole KV stored in MXFP8 through the FlashMLA V4.1 record on SM100 (#56893), DeepGEMM Mega-mHC (#56962), and async Engram prefetch with Engram DP sharding (#56512); DeepSeek-V4-Flash-Visio

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