LLM Comparison

Hy4 Preview vs GPT-5.5: benchmark scores, pricing & comparison.

Side-by-side Hy4 Preview vs GPT-5.5 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 #16AskClash overall scores 65.0 vs 64.3.
Pricing $0.83/$2.50 vs $5.00/$30.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryTencent vs OpenAI.

Hy4 Preview vs GPT-5.5 benchmark comparison

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

MetricHy4 PreviewGPT-5.5
Overall Score65.064.3
Leaderboard Rank#12#16
ACB62.0
RWT8.58.0
Coding Agent Index61.0
HLE43.452.2
GPQA92.393.6
IFEval75.9
SWE-Pro65.758.6
SWE-Atlas36.0
Terminal-Bench85.482.7
DeepSWE64.367.0
GDPval-AA1678.01395.8
OSWorld78.7
MCP Atlas83.775.3
Finance Agent51.8
MMMU-Pro81.2
ARC-AGI 285.0
Tau298.0
Input Price (per 1M tokens)$0.83$5.00
Output Price (per 1M tokens)$2.50$30.0
Context Window1M1M
Benchmarks Published717

Hy4 Preview vs GPT-5.5 head-to-head charts

Hy4 Preview leads 6 and GPT-5.5 leads 3 of 9 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Hy4 PreviewGPT-5.5
Overall
65.0Hy4 Preview
64.3GPT-5.5
RWT
8.5Hy4 Preview
8.0GPT-5.5
HLE
43.4Hy4 Preview
52.2GPT-5.5
GPQA
92.3Hy4 Preview
93.6GPT-5.5
SWE-Pro
65.7Hy4 Preview
58.6GPT-5.5
Terminal-Bench
85.4Hy4 Preview
82.7GPT-5.5
DeepSWE
64.3Hy4 Preview
67.0GPT-5.5
GDPval-AA
1678.0Hy4 Preview
1395.8GPT-5.5
MCP Atlas
83.7Hy4 Preview
75.3GPT-5.5
Hy4 Preview
Input$0.83
Output$2.50
Workload$1.33
Context1M
GPT-5.5
Input$5.00
Output$30.0
Workload$11
Context1M

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

More Hy4 Preview and GPT-5.5 comparisons

Explore how Hy4 Preview and GPT-5.5 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.