How do GLM-5.2 and Gemini 3.1 Pro 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 Gemini 3.1 Pro when publicly disclosed.

LLM Comparison

GLM-5.2 vs Gemini 3.1 Pro: benchmark scores, pricing & comparison.

Q: Which is better: GLM-5.2 or Gemini 3.1 Pro?

AskClash compares GLM-5.2 and Gemini 3.1 Pro 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 Gemini 3.1 Pro 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 Gemini 3.1 Pro model page

Rank #12 vs #24AskClash overall scores 70.5 vs 51.9.

Pricing $1.40/$4.40 vs $2.00/$12.0Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryZ.AI vs Google.

GLM-5.2 vs Gemini 3.1 Pro benchmark comparison

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

Metric	GLM-5.2	Gemini 3.1 Pro
Overall Score	70.5	51.9
Leaderboard Rank	#12	#24
RWT	8.5	—
Coding Agent Index	74.4	42.7
HLE	54.7	51.4
GPQA	91.2	94.3
IFEval	73.3	—
SWE-bench	—	80.6
SWE-Pro	62.1	54.2
SWE-Atlas	74.4	—
Terminal-Bench	82.7	68.5
DeepSWE	43.8	11.8
MCP Atlas	76.8	69.2
Finance Agent	—	43.0
CharXiv	—	80.2
MMMU-Pro	—	83.9
ARC-AGI 2	—	77.1
Tau2	99.1	99.3
MRCR	—	84.9
Input Price (per 1M tokens)	$1.40	$2.00
Output Price (per 1M tokens)	$4.40	$12.0
Context Window	1M	1M
Benchmarks Published	11	16

GLM-5.2 vs Gemini 3.1 Pro head-to-head charts

GLM-5.2 leads 7 and Gemini 3.1 Pro leads 2 of 9 shared benchmarks. GLM-5.2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.2Gemini 3.1 Pro

Overall

70.5GLM-5.2

51.9Gemini 3.1 Pro

Coding Agent Index

74.4GLM-5.2

42.7Gemini 3.1 Pro

HLE

54.7GLM-5.2

51.4Gemini 3.1 Pro

GPQA

91.2GLM-5.2

94.3Gemini 3.1 Pro

SWE-Pro

62.1GLM-5.2

54.2Gemini 3.1 Pro

Terminal-Bench

82.7GLM-5.2

68.5Gemini 3.1 Pro

DeepSWE

43.8GLM-5.2

11.8Gemini 3.1 Pro

MCP Atlas

76.8GLM-5.2

69.2Gemini 3.1 Pro

Tau2

99.1GLM-5.2

99.3Gemini 3.1 Pro

GLM-5.2

Input$1.40

Output$4.40

Workload$2.28

Context1M

Gemini 3.1 Pro

Input$2.00

Output$12.0

Workload$4.40

Context1M

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

More GLM-5.2 and Gemini 3.1 Pro comparisons

Explore how GLM-5.2 and Gemini 3.1 Pro stack up against other top-ranked LLMs.

Claude Fable 5 vs GLM-5.2 Claude Fable 5 vs Gemini 3.1 Pro GPT-5.6 Sol vs GLM-5.2 GPT-5.6 Sol vs Gemini 3.1 Pro Kimi K3 vs GLM-5.2 Kimi K3 vs Gemini 3.1 Pro Claude Opus 4.8 vs GLM-5.2 Claude Opus 4.8 vs Gemini 3.1 Pro Grok 4.5 vs GLM-5.2 Grok 4.5 vs Gemini 3.1 Pro

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.