LLM Comparison

Qwen3.8 Max 0902 vs GLM-5.2: benchmark scores, pricing & comparison.

Side-by-side Qwen3.8 Max 0902 vs GLM-5.2 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.

Rank #9 vs #27AskClash overall scores 70.0 vs 46.7.
Pricing $2.00/$6.00 vs $1.40/$4.40Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAlibaba vs Z.AI.

Qwen3.8 Max 0902 vs GLM-5.2 benchmark comparison

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

MetricQwen3.8 Max 0902GLM-5.2
Overall Score70.046.7
Leaderboard Rank#9#27
ACB59.0
RWT8.5
Coding Agent Index74.4
HLE43.654.7
GPQA92.691.2
IFEval82.873.3
SWE-Pro67.762.1
SWE-Atlas66.374.4
Terminal-Bench86.682.7
DeepSWE69.343.8
OSWorld86.1
MCP Atlas76.8
Finance Agent49.7
CharXiv88.4
MMMU-Pro82.7
Tau299.1
MRCR92.9
Input Price (per 1M tokens)$2.00$1.40
Output Price (per 1M tokens)$6.00$4.40
Context Window1M1M
Benchmarks Published1212

Qwen3.8 Max 0902 vs GLM-5.2 head-to-head charts

Qwen3.8 Max 0902 leads 6 and GLM-5.2 leads 2 of 8 shared benchmarks. GLM-5.2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 Max 0902GLM-5.2
Overall
70.0Qwen3.8 Max 0902
46.7GLM-5.2
HLE
43.6Qwen3.8 Max 0902
54.7GLM-5.2
GPQA
92.6Qwen3.8 Max 0902
91.2GLM-5.2
IFEval
82.8Qwen3.8 Max 0902
73.3GLM-5.2
SWE-Pro
67.7Qwen3.8 Max 0902
62.1GLM-5.2
SWE-Atlas
66.3Qwen3.8 Max 0902
74.4GLM-5.2
Terminal-Bench
86.6Qwen3.8 Max 0902
82.7GLM-5.2
DeepSWE
69.3Qwen3.8 Max 0902
43.8GLM-5.2
Qwen3.8 Max 0902
Input$2.00
Output$6.00
Workload$3.20
Context1M
GLM-5.2
Input$1.40
Output$4.40
Workload$2.28
Context1M

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

More Qwen3.8 Max 0902 and GLM-5.2 comparisons

Explore how Qwen3.8 Max 0902 and GLM-5.2 stack up against other top-ranked LLMs.

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.