LLM Comparison

GPT-5.5 xHigh vs Hy3 Preview: benchmark scores, pricing & comparison.

Side-by-side GPT-5.5 xHigh vs Hy3 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 #3 vs #30AskClash overall scores 86.0 vs 40.3.
Pricing $5.00/$30.0 vs $0/$0Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Tencent.

GPT-5.5 xHigh vs Hy3 Preview benchmark comparison

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

MetricGPT-5.5 xHighHy3 Preview
Overall Score86.040.3
Leaderboard Rank#3#30
RWT9.0
Coding Agent Index76.4
HLE52.225.5
GPQA93.687.2
IFEval63.1
SWE-bench74.4
SWE-Pro58.6
Terminal-Bench82.754.4
OSWorld78.7
MCP Atlas75.3
Finance Agent51.8
MMMU-Pro81.2
ARC-AGI 285.0
Tau298.092.7
Input Price (per 1M tokens)$5.00$0
Output Price (per 1M tokens)$30.0$0
Context Window1M256K
Benchmark Cells126

More GPT-5.5 xHigh and Hy3 Preview comparisons

Explore how GPT-5.5 xHigh and Hy3 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.