Compare · ModelsLive · 2 picked · head to head
GLM 5.2 vs Grok 4
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GLM 5.2 wins on 6/9 benchmarks
GLM 5.2 wins 6 of 9 shared benchmarks. Leads in agentic · reasoning · math.
Category leads
agentic·GLM 5.2reasoning·GLM 5.2knowledge·Grok 4math·GLM 5.2coding·GLM 5.2
Hype vs Reality
Attention vs performance
GLM 5.2
#75 by perf·#3 by attention
Grok 4
#99 by perf·#14 by attention
Vendor risk
Who is behind the model
z-ai
private · undisclosed
xAI
$250.0B·Tier 1
Head to head
9 benchmarks · 2 models
GLM 5.2Grok 4
APEX-Agents
GLM 5.2 leads by +30.0
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
GLM 5.2
45.2
Grok 4
15.2
ARC-AGI
GLM 5.2 leads by +10.3
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
GLM 5.2
77.0
Grok 4
66.7
ARC-AGI-2
GLM 5.2 leads by +6.8
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
GLM 5.2
22.8
Grok 4
16.0
Chess Puzzles
Grok 4 leads by +10.1
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
GLM 5.2
17.9
Grok 4
28.0
GPQA diamond
GLM 5.2 leads by +6.8
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GLM 5.2
92.9
Grok 4
86.1
OTIS Mock AIME 2024-2025
GLM 5.2 leads by +2.4
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
GLM 5.2
86.4
Grok 4
84.0
SimpleBench
Grok 4 leads by +2.0
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
GLM 5.2
50.6
Grok 4
52.6
SimpleQA Verified
Grok 4 leads by +13.7
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
GLM 5.2
34.2
Grok 4
47.9
WeirdML
GLM 5.2 leads by +24.4
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
GLM 5.2
70.1
Grok 4
45.7
Full benchmark table
| Benchmark | GLM 5.2 | Grok 4 |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 45.2 | 15.2 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 77.0 | 66.7 |
ARC-AGI-2 ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data. | 22.8 | 16.0 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 17.9 | 28.0 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 92.9 | 86.1 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 86.4 | 84.0 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 50.6 | 52.6 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 34.2 | 47.9 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 70.1 | 45.7 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
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