How do Qwen3.8 Max 0902 and GLM-5.3-Flash compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Qwen3.8 Max 0902 and GLM-5.3-Flash when publicly disclosed.

LLM Comparison

Qwen3.8 Max 0902 vs GLM-5.3-Flash: benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.8 Max 0902 or GLM-5.3-Flash?

AskClash compares Qwen3.8 Max 0902 and GLM-5.3-Flash side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

Side-by-side Qwen3.8 Max 0902 vs GLM-5.3-Flash 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 leaderboard Qwen3.8 Max 0902 model page GLM-5.3-Flash model page

Rank #9 vs #12AskClash overall scores 70.0 vs 68.4.

Pricing $2.00/$6.00 vs $0.15/$0.50Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightAlibaba vs Z.AI.

Qwen3.8 Max 0902 vs GLM-5.3-Flash benchmark comparison

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

Metric	Qwen3.8 Max 0902	GLM-5.3-Flash
Overall Score	70.0	68.4
Leaderboard Rank	#9	#12
ACB	59.0	61.2
RWT	—	8.5
HLE	43.6	55.3
GPQA	92.6	91.2
IFEval	82.8	—
SWE-Pro	67.7	—
SWE-Atlas	66.3	—
Terminal-Bench	86.6	84.3
DeepSWE	69.3	63.4
GDPval-AA	—	1773.0
OSWorld	86.1	—
Finance Agent	—	57.9
CharXiv	88.4	89.4
MMMU-Pro	82.7	—
MRCR	92.9	—
Input Price (per 1M tokens)	$2.00	$0.15
Output Price (per 1M tokens)	$6.00	$0.50
Context Window	1M	1M
Benchmarks Published	12	9

Qwen3.8 Max 0902 vs GLM-5.3-Flash head-to-head charts

Qwen3.8 Max 0902 leads 4 and GLM-5.3-Flash leads 3 of 7 shared benchmarks. GLM-5.3-Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 Max 0902GLM-5.3-Flash

Overall

70.0Qwen3.8 Max 0902

68.4GLM-5.3-Flash

ACB

59.0Qwen3.8 Max 0902

61.2GLM-5.3-Flash

HLE

43.6Qwen3.8 Max 0902

55.3GLM-5.3-Flash

GPQA

92.6Qwen3.8 Max 0902

91.2GLM-5.3-Flash

Terminal-Bench

86.6Qwen3.8 Max 0902

84.3GLM-5.3-Flash

DeepSWE

69.3Qwen3.8 Max 0902

63.4GLM-5.3-Flash

CharXiv

88.4Qwen3.8 Max 0902

89.4GLM-5.3-Flash

Qwen3.8 Max 0902

Input$2.00

Output$6.00

Workload$3.20

Context1M

GLM-5.3-Flash

Input$0.15

Output$0.50

Workload$0.25

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-5.3-Flash comparisons

Explore how Qwen3.8 Max 0902 and GLM-5.3-Flash stack up against other top-ranked LLMs.

Claude Fable 5.1 vs Qwen3.8 Max 0902 Claude Fable 5.1 vs GLM-5.3-Flash Claude Opus 5 vs Qwen3.8 Max 0902 Claude Opus 5 vs GLM-5.3-Flash Claude Fable 5 vs Qwen3.8 Max 0902 Claude Fable 5 vs GLM-5.3-Flash GLM-5.3 vs Qwen3.8 Max 0902 GLM-5.3 vs GLM-5.3-Flash Grok 4.6 vs Qwen3.8 Max 0902 Grok 4.6 vs GLM-5.3-Flash

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.