How do GLM-5.3-Flash and GPT-5.5 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-Flash and GPT-5.5 when publicly disclosed.

LLM Comparison

GLM-5.3-Flash vs GPT-5.5: benchmark scores, pricing & comparison.

Q: Which is better: GLM-5.3-Flash or GPT-5.5?

AskClash compares GLM-5.3-Flash and GPT-5.5 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-Flash vs GPT-5.5 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 leaderboard GLM-5.3-Flash model page GPT-5.5 model page

Rank #7 vs #11AskClash overall scores 71.8 vs 68.8.

Pricing $0.15/$0.50 vs $5.00/$30.0Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryZ.AI vs OpenAI.

GLM-5.3-Flash vs GPT-5.5 benchmark comparison

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

Metric	GLM-5.3-Flash	GPT-5.5
Overall Score	71.8	68.8
Leaderboard Rank	#7	#11
ACB	61.2	62.0
RWT	8.5	8.0
Coding Agent Index	—	61.0
HLE	55.3	52.2
GPQA	91.2	93.6
SWE-Pro	—	58.6
Terminal-Bench	84.3	82.7
DeepSWE	63.4	67.0
GDPval-AA	1773.0	—
OSWorld	—	78.7
MCP Atlas	—	75.3
Finance Agent	—	51.8
CharXiv	89.4	—
MMMU-Pro	—	81.2
ARC-AGI 2	—	85.0
Tau2	—	98.0
Input Price (per 1M tokens)	$0.15	$5.00
Output Price (per 1M tokens)	$0.50	$30.0
Context Window	1M	1M
Benchmarks Published	8	14

GLM-5.3-Flash vs GPT-5.5 head-to-head charts

GLM-5.3-Flash leads 4 and GPT-5.5 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.

GLM-5.3-FlashGPT-5.5

Overall

71.8GLM-5.3-Flash

68.8GPT-5.5

ACB

61.2GLM-5.3-Flash

62.0GPT-5.5

RWT

8.5GLM-5.3-Flash

8.0GPT-5.5

HLE

55.3GLM-5.3-Flash

52.2GPT-5.5

GPQA

91.2GLM-5.3-Flash

93.6GPT-5.5

Terminal-Bench

84.3GLM-5.3-Flash

82.7GPT-5.5

DeepSWE

63.4GLM-5.3-Flash

67.0GPT-5.5

GLM-5.3-Flash

Input$0.15

Output$0.50

Workload$0.25

Context1M

GPT-5.5

Input$5.00

Output$30.0

Workload$11

Context1M

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

More GLM-5.3-Flash and GPT-5.5 comparisons

Explore how GLM-5.3-Flash and GPT-5.5 stack up against other top-ranked LLMs.

Claude Opus 5 vs GLM-5.3-Flash Claude Opus 5 vs GPT-5.5 Claude Fable 5 vs GLM-5.3-Flash Claude Fable 5 vs GPT-5.5 GLM-5.3 vs GLM-5.3-Flash GLM-5.3 vs GPT-5.5 Grok 4.6 vs GLM-5.3-Flash Grok 4.6 vs GPT-5.5 GPT-5.6 Sol vs GLM-5.3-Flash GPT-5.6 Sol vs GPT-5.5

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.