Which is better: Hy3 or GLM-5.2?

Verdict: Hy3 ranks higher (#47 vs #48); GLM-5.2 wins 6 of 7 shared benchmarks; Hy3 costs less ($0.12/$0.43 vs $1.40/$4.40 per 1M tokens). AskClash compares Hy3 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 Hy3 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 Hy3 and GLM-5.2 when publicly disclosed.

LLM Comparison

Hy3 vs GLM-5.2: benchmark scores, pricing & comparison.

Side-by-side Hy3 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: Hy3 ranks higher (#47 vs #48); GLM-5.2 wins 6 of 7 shared benchmarks; Hy3 costs less ($0.12/$0.43 vs $1.40/$4.40 per 1M tokens).

Open live leaderboard Hy3 model page GLM-5.2 model page

Rank #47 vs #48AskClash overall scores 50.7 vs 50.3.

Pricing $0.12/$0.43 vs $1.40/$4.40Input and output token prices per 1M tokens when published.

Open Weight vs Open WeightTencent vs Z.AI.

Hy3 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	Hy3	GLM-5.2
Overall Score	50.7	50.3
Leaderboard Rank	#47	#48
RWT	8.0	8.5
Coding Agent Index	—	74.4
HLE	53.2	54.7
GPQA	90.4	91.2
IFEval	—	73.3
SWE-bench	78.0	—
SWE-Pro	57.9	62.1
SWE-Atlas	—	74.4
DeepSWE	—	43.8
GDPval-AA	1063.4	1373.0
MCP Atlas	79.1	76.8
Finance Agent	—	49.7
ARC-AGI 2	—	22.8
Tau2	92.7	99.1
MRCR	75.1	—
Input Price (per 1M tokens)	$0.12	$1.40
Output Price (per 1M tokens)	$0.43	$4.40
Context Window	256K	1M
Benchmarks Published	8	13

Hy3 vs GLM-5.2 head-to-head charts

Hy3 leads 2 and GLM-5.2 leads 6 of 8 shared benchmarks. Hy3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Hy3GLM-5.2

Overall

50.7Hy3

50.3GLM-5.2

RWT

8.0Hy3

8.5GLM-5.2

HLE

53.2Hy3

54.7GLM-5.2

GPQA

90.4Hy3

91.2GLM-5.2

SWE-Pro

57.9Hy3

62.1GLM-5.2

GDPval-AA

1063.4Hy3

1373.0GLM-5.2

MCP Atlas

79.1Hy3

76.8GLM-5.2

Tau2

92.7Hy3

99.1GLM-5.2

Hy3

Input$0.12

Output$0.43

Workload$0.21

Context256K

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 Hy3 and GLM-5.2 comparisons

Explore how Hy3 and GLM-5.2 stack up against other top-ranked LLMs.

Claude Opus 5.5 vs Hy3 Claude Opus 5.5 vs GLM-5.2 Claude Fable 5.1 vs Hy3 Claude Fable 5.1 vs GLM-5.2 Claude Sonnet 5.5 vs Hy3 Claude Sonnet 5.5 vs GLM-5.2 Claude Opus 5 vs Hy3 Claude Opus 5 vs GLM-5.2 Claude Fable 5 vs Hy3 Claude Fable 5 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.