LLM Comparison

Hy4 Preview vs GLM-5.3-Flash: benchmark scores, pricing & comparison.

Side-by-side Hy4 Preview vs GLM-5.3-Flash 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.

Rank #12 vs #17AskClash overall scores 65.0 vs 63.5.
Pricing $0.83/$2.50 vs $0.15/$0.50Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightTencent vs Z.AI.

Hy4 Preview vs GLM-5.3-Flash benchmark comparison

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

MetricHy4 PreviewGLM-5.3-Flash
Overall Score65.063.5
Leaderboard Rank#12#17
ACB61.2
RWT8.58.5
HLE43.455.3
GPQA92.391.2
SWE-Pro65.7
Terminal-Bench85.484.3
DeepSWE64.363.4
GDPval-AA1678.01773.0
MCP Atlas83.7
Finance Agent57.9
CharXiv89.4
Input Price (per 1M tokens)$0.83$0.15
Output Price (per 1M tokens)$2.50$0.50
Context Window1M1M
Benchmarks Published79

Hy4 Preview vs GLM-5.3-Flash head-to-head charts

Hy4 Preview leads 4 and GLM-5.3-Flash leads 2 of 7 shared benchmarks. GLM-5.3-Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Hy4 PreviewGLM-5.3-Flash
Overall
65.0Hy4 Preview
63.5GLM-5.3-Flash
RWT
8.5Hy4 Preview
8.5GLM-5.3-Flash
HLE
43.4Hy4 Preview
55.3GLM-5.3-Flash
GPQA
92.3Hy4 Preview
91.2GLM-5.3-Flash
Terminal-Bench
85.4Hy4 Preview
84.3GLM-5.3-Flash
DeepSWE
64.3Hy4 Preview
63.4GLM-5.3-Flash
GDPval-AA
1678.0Hy4 Preview
1773.0GLM-5.3-Flash
Hy4 Preview
Input$0.83
Output$2.50
Workload$1.33
Context1M
GLM-5.3-Flash
Input$0.15
Output$0.50
Workload$0.25
Context1M

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

More Hy4 Preview and GLM-5.3-Flash comparisons

Explore how Hy4 Preview and GLM-5.3-Flash stack up against other top-ranked LLMs.

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.