How do GLM-5.2 and Qwen3.7 Plus 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-5.2 and Qwen3.7 Plus when publicly disclosed.

LLM Comparison

GLM-5.2 vs Qwen3.7 Plus: benchmark scores, pricing & comparison.

Q: Which is better: GLM-5.2 or Qwen3.7 Plus?

AskClash compares GLM-5.2 and Qwen3.7 Plus side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side GLM-5.2 vs Qwen3.7 Plus 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-5.2 model page Qwen3.7 Plus model page

Rank #12 vs #21AskClash overall scores 70.5 vs 55.7.

Pricing $1.40/$4.40 vs $0.40/$1.60Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryZ.AI vs Alibaba.

GLM-5.2 vs Qwen3.7 Plus benchmark comparison

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

Metric	GLM-5.2	Qwen3.7 Plus
Overall Score	70.5	55.7
Leaderboard Rank	#12	#21
RWT	8.5	7.5
Coding Agent Index	74.4	—
HLE	54.7	34.7
GPQA	91.2	90.3
IFEval	73.3	94.6
SWE-bench	—	77.7
SWE-Pro	62.1	57.6
SWE-Atlas	74.4	—
Terminal-Bench	82.7	70.3
DeepSWE	43.8	—
OSWorld	—	73.3
MCP Atlas	76.8	73.2
Finance Agent	—	38.2
CharXiv	—	85.9
MMMU-Pro	—	79.0
Tau2	99.1	93.0
MRCR	—	91.7
Input Price (per 1M tokens)	$1.40	$0.40
Output Price (per 1M tokens)	$4.40	$1.60
Context Window	1M	1M
Benchmarks Published	11	15

GLM-5.2 vs Qwen3.7 Plus head-to-head charts

GLM-5.2 leads 8 and Qwen3.7 Plus leads 1 of 9 shared benchmarks. Qwen3.7 Plus is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.2Qwen3.7 Plus

Overall

70.5GLM-5.2

55.7Qwen3.7 Plus

RWT

8.5GLM-5.2

7.5Qwen3.7 Plus

HLE

54.7GLM-5.2

34.7Qwen3.7 Plus

GPQA

91.2GLM-5.2

90.3Qwen3.7 Plus

IFEval

73.3GLM-5.2

94.6Qwen3.7 Plus

SWE-Pro

62.1GLM-5.2

57.6Qwen3.7 Plus

Terminal-Bench

82.7GLM-5.2

70.3Qwen3.7 Plus

MCP Atlas

76.8GLM-5.2

73.2Qwen3.7 Plus

Tau2

99.1GLM-5.2

93.0Qwen3.7 Plus

GLM-5.2

Input$1.40

Output$4.40

Workload$2.28

Context1M

Qwen3.7 Plus

Input$0.40

Output$1.60

Workload$0.72

Context1M

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

More GLM-5.2 and Qwen3.7 Plus comparisons

Explore how GLM-5.2 and Qwen3.7 Plus stack up against other top-ranked LLMs.

Claude Fable 5 vs GLM-5.2 Claude Fable 5 vs Qwen3.7 Plus GPT-5.6 Sol vs GLM-5.2 GPT-5.6 Sol vs Qwen3.7 Plus Kimi K3 vs GLM-5.2 Kimi K3 vs Qwen3.7 Plus Claude Opus 4.8 vs GLM-5.2 Claude Opus 4.8 vs Qwen3.7 Plus Grok 4.5 vs GLM-5.2 Grok 4.5 vs Qwen3.7 Plus

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.