LLM Comparison

Hy4 Preview vs Qwen3.8 Max: benchmark scores, pricing & comparison.

Side-by-side Hy4 Preview vs Qwen3.8 Max 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 #11 vs #13AskClash overall scores 65.0 vs 64.8.
Pricing $0.83/$2.50 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightTencent vs Alibaba.

Hy4 Preview vs Qwen3.8 Max benchmark comparison

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

MetricHy4 PreviewQwen3.8 Max
Overall Score65.064.8
Leaderboard Rank#11#13
ACB59.0
RWT8.5
Coding Agent Index61.3
HLE43.443.6
GPQA92.392.6
IFEval82.8
SWE-Pro65.767.7
SWE-Atlas48.1
Terminal-Bench85.486.6
DeepSWE64.356.6
GDPval-AA1678.01630.4
OSWorld86.1
MCP Atlas83.7
Finance Agent50.6
CharXiv88.4
MMMU-Pro82.3
MRCR92.9
Input Price (per 1M tokens)$0.83$2.00
Output Price (per 1M tokens)$2.50$6.00
Context Window1M1M
Benchmarks Published716

Hy4 Preview vs Qwen3.8 Max head-to-head charts

Hy4 Preview leads 3 and Qwen3.8 Max leads 4 of 7 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Hy4 PreviewQwen3.8 Max
Overall
65.0Hy4 Preview
64.8Qwen3.8 Max
HLE
43.4Hy4 Preview
43.6Qwen3.8 Max
GPQA
92.3Hy4 Preview
92.6Qwen3.8 Max
SWE-Pro
65.7Hy4 Preview
67.7Qwen3.8 Max
Terminal-Bench
85.4Hy4 Preview
86.6Qwen3.8 Max
DeepSWE
64.3Hy4 Preview
56.6Qwen3.8 Max
GDPval-AA
1678.0Hy4 Preview
1630.4Qwen3.8 Max
Hy4 Preview
Input$0.83
Output$2.50
Workload$1.33
Context1M
Qwen3.8 Max
Input$2.00
Output$6.00
Workload$3.20
Context1M

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

More Hy4 Preview and Qwen3.8 Max comparisons

Explore how Hy4 Preview and Qwen3.8 Max 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.