How do GLM-5.3-Flash and Gemini 3.7 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-Flash and Gemini 3.7 Flash when publicly disclosed.

LLM Comparison

GLM-5.3-Flash vs Gemini 3.7 Flash: benchmark scores, pricing & comparison.

Q: Which is better: GLM-5.3-Flash or Gemini 3.7 Flash?

AskClash compares GLM-5.3-Flash and Gemini 3.7 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-Flash vs Gemini 3.7 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-Flash model page Gemini 3.7 Flash model page

Rank #7 vs #10AskClash overall scores 71.8 vs 69.6.

Pricing $0.15/$0.50 vs $1.50/$7.50Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryZ.AI vs Google.

GLM-5.3-Flash vs Gemini 3.7 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-Flash	Gemini 3.7 Flash
Overall Score	71.8	69.6
Leaderboard Rank	#7	#10
ACB	61.2	38.9
RWT	8.5	—
HLE	55.3	53.6
GPQA	91.2	94.5
Terminal-Bench	84.3	85.8
DeepSWE	63.4	65.3
GDPval-AA	1773.0	1525.0
Finance Agent	—	59.0
CharXiv	89.4	84.5
MMMU-Pro	—	85.5
MRCR	—	97.0
Input Price (per 1M tokens)	$0.15	$1.50
Output Price (per 1M tokens)	$0.50	$7.50
Context Window	1M	1M
Benchmarks Published	8	11

GLM-5.3-Flash vs Gemini 3.7 Flash head-to-head charts

GLM-5.3-Flash leads 5 and Gemini 3.7 Flash leads 3 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-5.3-FlashGemini 3.7 Flash

Overall

71.8GLM-5.3-Flash

69.6Gemini 3.7 Flash

ACB

61.2GLM-5.3-Flash

38.9Gemini 3.7 Flash

HLE

55.3GLM-5.3-Flash

53.6Gemini 3.7 Flash

GPQA

91.2GLM-5.3-Flash

94.5Gemini 3.7 Flash

Terminal-Bench

84.3GLM-5.3-Flash

85.8Gemini 3.7 Flash

DeepSWE

63.4GLM-5.3-Flash

65.3Gemini 3.7 Flash

GDPval-AA

1773.0GLM-5.3-Flash

1525.0Gemini 3.7 Flash

CharXiv

89.4GLM-5.3-Flash

84.5Gemini 3.7 Flash

GLM-5.3-Flash

Input$0.15

Output$0.50

Workload$0.25

Context1M

Gemini 3.7 Flash

Input$1.50

Output$7.50

Workload$3.00

Context1M

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

More GLM-5.3-Flash and Gemini 3.7 Flash comparisons

Explore how GLM-5.3-Flash and Gemini 3.7 Flash stack up against other top-ranked LLMs.

Claude Opus 5 vs GLM-5.3-Flash Claude Opus 5 vs Gemini 3.7 Flash Claude Fable 5 vs GLM-5.3-Flash Claude Fable 5 vs Gemini 3.7 Flash GLM-5.3 vs GLM-5.3-Flash GLM-5.3 vs Gemini 3.7 Flash Grok 4.6 vs GLM-5.3-Flash Grok 4.6 vs Gemini 3.7 Flash GPT-5.6 Sol vs GLM-5.3-Flash GPT-5.6 Sol vs Gemini 3.7 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.