How do GLM-5.3-Flash and SWE-2 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 SWE-2 when publicly disclosed.

LLM Comparison

GLM-5.3-Flash vs SWE-2: benchmark scores, pricing & comparison.

Q: Which is better: GLM-5.3-Flash or SWE-2?

AskClash compares GLM-5.3-Flash and SWE-2 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 SWE-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.

Open live leaderboard GLM-5.3-Flash model page SWE-2 model page

Rank #19 vs #24AskClash overall scores 62.9 vs 59.7.

Pricing $0.15/$0.50 vs $0/$0Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryZ.AI vs Cognition.

GLM-5.3-Flash vs SWE-2 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	SWE-2
Overall Score	62.9	59.7
Leaderboard Rank	#19	#24
ACB	61.2	60.0
RWT	8.5	8.5
HLE	55.3	—
GPQA	91.2	—
Terminal-Bench	84.3	92.8
DeepSWE	63.4	73.0
GDPval-AA	1773.0	—
Finance Agent	57.9	—
CharXiv	89.4	—
Input Price (per 1M tokens)	$0.15	$0
Output Price (per 1M tokens)	$0.50	$0
Context Window	1M	256K
Benchmarks Published	9	3

GLM-5.3-Flash vs SWE-2 head-to-head charts

GLM-5.3-Flash leads 2 and SWE-2 leads 2 of 5 shared benchmarks. SWE-2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.3-FlashSWE-2

Overall

62.9GLM-5.3-Flash

59.7SWE-2

ACB

61.2GLM-5.3-Flash

60.0SWE-2

RWT

8.5GLM-5.3-Flash

8.5SWE-2

Terminal-Bench

84.3GLM-5.3-Flash

92.8SWE-2

DeepSWE

63.4GLM-5.3-Flash

73.0SWE-2

GLM-5.3-Flash

Input$0.15

Output$0.50

Workload$0.25

Context1M

SWE-2

Input$0

Output$0

Workload$0.00

Context256K

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

More GLM-5.3-Flash and SWE-2 comparisons

Explore how GLM-5.3-Flash and SWE-2 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GLM-5.3-Flash Claude Fable 5.1 vs SWE-2 Claude Fable 5 vs GLM-5.3-Flash Claude Fable 5 vs SWE-2 Claude Opus 5 vs GLM-5.3-Flash Claude Opus 5 vs SWE-2 GPT-5.6 Sol vs GLM-5.3-Flash GPT-5.6 Sol vs SWE-2 Qwen3.8 Max vs GLM-5.3-Flash Qwen3.8 Max vs SWE-2

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.