LLM Comparison

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

Side-by-side GLM-5.3-Flash vs Hy4 Preview 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 #8 vs #18AskClash overall scores 70.9 vs 58.2.
Pricing $0.15/$0.50 vs $0.83/$2.50Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightZ.AI vs Tencent.

GLM-5.3-Flash vs Hy4 Preview benchmark comparison

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

MetricGLM-5.3-FlashHy4 Preview
Overall Score70.958.2
Leaderboard Rank#8#18
ACB61.2
RWT8.58.5
HLE55.343.4
GPQA91.292.3
SWE-Pro65.7
Terminal-Bench84.385.4
DeepSWE63.464.3
GDPval-AA1773.01678.0
MCP Atlas83.7
CharXiv89.4
Input Price (per 1M tokens)$0.15$0.83
Output Price (per 1M tokens)$0.50$2.50
Context Window1M1M
Benchmarks Published87

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

GLM-5.3-Flash leads 3 and Hy4 Preview leads 3 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.

GLM-5.3-FlashHy4 Preview
Overall
70.9GLM-5.3-Flash
58.2Hy4 Preview
RWT
8.5GLM-5.3-Flash
8.5Hy4 Preview
HLE
55.3GLM-5.3-Flash
43.4Hy4 Preview
GPQA
91.2GLM-5.3-Flash
92.3Hy4 Preview
Terminal-Bench
84.3GLM-5.3-Flash
85.4Hy4 Preview
DeepSWE
63.4GLM-5.3-Flash
64.3Hy4 Preview
GDPval-AA
1773.0GLM-5.3-Flash
1678.0Hy4 Preview
GLM-5.3-Flash
Input$0.15
Output$0.50
Workload$0.25
Context1M
Hy4 Preview
Input$0.83
Output$2.50
Workload$1.33
Context1M

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

More GLM-5.3-Flash and Hy4 Preview comparisons

Explore how GLM-5.3-Flash and Hy4 Preview 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.