How do GLM-5.3 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 GLM-5.3 and GLM-5.3-Flash when publicly disclosed.

LLM Comparison

GLM-5.3 vs GLM-5.3-Flash: benchmark scores, pricing & comparison.

Q: Which is better: GLM-5.3 or GLM-5.3-Flash?

AskClash compares GLM-5.3 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 GLM-5.3 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 GLM-5.3 model page GLM-5.3-Flash model page

Rank #3 vs #7AskClash overall scores 81.4 vs 71.8.

Pricing $1.40/$4.40 vs $0.15/$0.50Input and output token prices per 1M tokens when published.

Open Weight vs Open WeightZ.AI vs Z.AI.

GLM-5.3 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	GLM-5.3	GLM-5.3-Flash
Overall Score	81.4	71.8
Leaderboard Rank	#3	#7
ACB	62.2	61.2
RWT	8.5	8.5
HLE	62.5	55.3
GPQA	91.7	91.2
Terminal-Bench	88.2	84.3
DeepSWE	69.0	63.4
GDPval-AA	1769.0	1773.0
CharXiv	—	89.4
Input Price (per 1M tokens)	$1.40	$0.15
Output Price (per 1M tokens)	$4.40	$0.50
Context Window	1M	1M
Benchmarks Published	7	8

GLM-5.3 vs GLM-5.3-Flash head-to-head charts

GLM-5.3 leads 6 and GLM-5.3-Flash leads 1 of 8 shared benchmarks. GLM-5.3-Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.3GLM-5.3-Flash

Overall

81.4GLM-5.3

71.8GLM-5.3-Flash

ACB

62.2GLM-5.3

61.2GLM-5.3-Flash

RWT

8.5GLM-5.3

8.5GLM-5.3-Flash

HLE

62.5GLM-5.3

55.3GLM-5.3-Flash

GPQA

91.7GLM-5.3

91.2GLM-5.3-Flash

Terminal-Bench

88.2GLM-5.3

84.3GLM-5.3-Flash

DeepSWE

69.0GLM-5.3

63.4GLM-5.3-Flash

GDPval-AA

1769.0GLM-5.3

1773.0GLM-5.3-Flash

GLM-5.3

Input$1.40

Output$4.40

Workload$2.28

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 GLM-5.3 and GLM-5.3-Flash comparisons

Explore how GLM-5.3 and GLM-5.3-Flash stack up against other top-ranked LLMs.

Claude Opus 5 vs GLM-5.3 Claude Opus 5 vs GLM-5.3-Flash Claude Fable 5 vs GLM-5.3 Claude Fable 5 vs GLM-5.3-Flash GLM-5.3 vs Grok 4.6 Grok 4.6 vs GLM-5.3-Flash GLM-5.3 vs GPT-5.6 Sol GPT-5.6 Sol vs GLM-5.3-Flash GLM-5.3 vs Kimi K3 Kimi K3 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.