Which is better: Gemini 3.7 Flash or GLM-5.2?

Verdict: Gemini 3.7 Flash ranks higher (#26 vs #30) and wins 5 of 6 shared benchmarks; GLM-5.2 costs less ($1.40/$4.40 vs $1.50/$7.50 per 1M tokens). AskClash compares Gemini 3.7 Flash and GLM-5.2 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.

How do Gemini 3.7 Flash and GLM-5.2 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Gemini 3.7 Flash and GLM-5.2 when publicly disclosed.

LLM Comparison

Gemini 3.7 Flash vs GLM-5.2: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.7 Flash vs GLM-5.2 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.

Verdict: Gemini 3.7 Flash ranks higher (#26 vs #30) and wins 5 of 6 shared benchmarks; GLM-5.2 costs less ($1.40/$4.40 vs $1.50/$7.50 per 1M tokens).

Open live leaderboard Gemini 3.7 Flash model page GLM-5.2 model page

Rank #26 vs #30AskClash overall scores 59.5 vs 57.2.

Pricing $1.50/$7.50 vs $1.40/$4.40Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightGoogle vs Z.AI.

Gemini 3.7 Flash vs GLM-5.2 benchmark comparison

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

Metric	Gemini 3.7 Flash	GLM-5.2
Overall Score	59.5	57.2
Leaderboard Rank	#26	#30
ACB	38.9	—
RWT	—	8.5
Coding Agent Index	—	74.4
HLE	53.6	54.7
GPQA	94.5	91.2
IFEval	—	73.3
SWE-Pro	—	62.1
SWE-Atlas	—	74.4
Terminal-Bench	85.8	82.7
DeepSWE	65.3	43.8
GDPval-AA	1525.0	1357.5
MCP Atlas	—	76.8
Finance Agent	59.0	49.7
CharXiv	84.5	—
MMMU-Pro	85.5	—
ARC-AGI 2	84.6	—
Tau2	—	99.1
MRCR	97.0	—
Input Price (per 1M tokens)	$1.50	$1.40
Output Price (per 1M tokens)	$7.50	$4.40
Context Window	1M	1M
Benchmarks Published	13	13

Gemini 3.7 Flash vs GLM-5.2 head-to-head charts

Gemini 3.7 Flash leads 6 and GLM-5.2 leads 1 of 7 shared benchmarks. GLM-5.2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.7 FlashGLM-5.2

Overall

59.5Gemini 3.7 Flash

57.2GLM-5.2

HLE

53.6Gemini 3.7 Flash

54.7GLM-5.2

GPQA

94.5Gemini 3.7 Flash

91.2GLM-5.2

Terminal-Bench

85.8Gemini 3.7 Flash

82.7GLM-5.2

DeepSWE

65.3Gemini 3.7 Flash

43.8GLM-5.2

GDPval-AA

1525.0Gemini 3.7 Flash

1357.5GLM-5.2

Finance Agent

59.0Gemini 3.7 Flash

49.7GLM-5.2

Gemini 3.7 Flash

Input$1.50

Output$7.50

Workload$3.00

Context1M

GLM-5.2

Input$1.40

Output$4.40

Workload$2.28

Context1M

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

More Gemini 3.7 Flash and GLM-5.2 comparisons

Explore how Gemini 3.7 Flash and GLM-5.2 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs Gemini 3.7 Flash Claude Fable 5.1 vs GLM-5.2 Claude Opus 5.5 vs Gemini 3.7 Flash Claude Opus 5.5 vs GLM-5.2 Claude Fable 5 vs Gemini 3.7 Flash Claude Fable 5 vs GLM-5.2 Claude Opus 5 vs Gemini 3.7 Flash Claude Opus 5 vs GLM-5.2 GPT-5.6 Sol vs Gemini 3.7 Flash GPT-5.6 Sol vs GLM-5.2

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.