LLM Comparison

GLM-5.2 vs Grok 4.5: benchmark scores, pricing & comparison.

Side-by-side GLM-5.2 vs Grok 4.5 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Open live leaderboardGLM-5.2 model pageGrok 4.5 model page
Rank #19 vs #21AskClash overall scores 62.3 vs 61.7.
Pricing $1.40/$4.40 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryZ.AI vs xAI.

GLM-5.2 vs Grok 4.5 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricGLM-5.2Grok 4.5
Overall Score62.361.7
Leaderboard Rank#19#21
ACB—57.6
RWT8.59.0
Coding Agent Index74.476.4
HLE54.740.3
GPQA91.293.1
IFEval73.3—
SWE-Pro62.164.7
SWE-Atlas74.483.9
Terminal-Bench82.783.3
DeepSWE43.8—
GDPval-AA1417.61542.8
MCP Atlas76.8—
Finance Agent49.748.3
MMMU-Pro—80.4
ARC-AGI 2—52.6
Tau299.1—
Input Price (per 1M tokens)$1.40$2.00
Output Price (per 1M tokens)$4.40$6.00
Context Window1M500K
Benchmarks Published1312

GLM-5.2 vs Grok 4.5 head-to-head charts

GLM-5.2 leads 3 and Grok 4.5 leads 7 of 10 shared benchmarks. GLM-5.2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.2Grok 4.5
Overall
62.3GLM-5.2
61.7Grok 4.5
RWT
8.5GLM-5.2
9.0Grok 4.5
Coding Agent Index
74.4GLM-5.2
76.4Grok 4.5
HLE
54.7GLM-5.2
40.3Grok 4.5
GPQA
91.2GLM-5.2
93.1Grok 4.5
SWE-Pro
62.1GLM-5.2
64.7Grok 4.5
SWE-Atlas
74.4GLM-5.2
83.9Grok 4.5
Terminal-Bench
82.7GLM-5.2
83.3Grok 4.5
GDPval-AA
1417.6GLM-5.2
1542.8Grok 4.5
Finance Agent
49.7GLM-5.2
48.3Grok 4.5
GLM-5.2
Input$1.40
Output$4.40
Workload$2.28
Context1M
Grok 4.5
Input$2.00
Output$6.00
Workload$3.20
Context500K

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More GLM-5.2 and Grok 4.5 comparisons

Explore how GLM-5.2 and Grok 4.5 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GLM-5.2Claude Fable 5.1 vs Grok 4.5Claude Fable 5 vs GLM-5.2Claude Fable 5 vs Grok 4.5Claude Opus 5 vs GLM-5.2Claude Opus 5 vs Grok 4.5GPT-5.6 Sol vs GLM-5.2GPT-5.6 Sol vs Grok 4.5GPT-6 Astra vs GLM-5.2GPT-6 Astra vs Grok 4.5

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.