LLM Comparison

Hy4 Preview vs Gemini 3.6 Flash: benchmark scores, pricing & comparison.

Side-by-side Hy4 Preview vs Gemini 3.6 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 #18 vs #21AskClash overall scores 58.2 vs 49.9.
Pricing $0.83/$2.50 vs $1.50/$7.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryTencent vs Google.

Hy4 Preview vs Gemini 3.6 Flash benchmark comparison

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

MetricHy4 PreviewGemini 3.6 Flash
Overall Score58.249.9
Leaderboard Rank#18#21
ACB33.8
RWT8.5
HLE43.438.0
GPQA92.392.8
SWE-Pro65.758.7
Terminal-Bench85.478.0
DeepSWE64.346.7
GDPval-AA1678.01421.0
OSWorld83.0
MCP Atlas83.7
Finance Agent56.3
CharXiv85.2
MMMU-Pro83.2
MRCR91.8
Input Price (per 1M tokens)$0.83$1.50
Output Price (per 1M tokens)$2.50$7.50
Context Window1M1M
Benchmarks Published713

Hy4 Preview vs Gemini 3.6 Flash head-to-head charts

Hy4 Preview leads 6 and Gemini 3.6 Flash leads 1 of 7 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Hy4 PreviewGemini 3.6 Flash
Overall
58.2Hy4 Preview
49.9Gemini 3.6 Flash
HLE
43.4Hy4 Preview
38.0Gemini 3.6 Flash
GPQA
92.3Hy4 Preview
92.8Gemini 3.6 Flash
SWE-Pro
65.7Hy4 Preview
58.7Gemini 3.6 Flash
Terminal-Bench
85.4Hy4 Preview
78.0Gemini 3.6 Flash
DeepSWE
64.3Hy4 Preview
46.7Gemini 3.6 Flash
GDPval-AA
1678.0Hy4 Preview
1421.0Gemini 3.6 Flash
Hy4 Preview
Input$0.83
Output$2.50
Workload$1.33
Context1M
Gemini 3.6 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M

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

More Hy4 Preview and Gemini 3.6 Flash comparisons

Explore how Hy4 Preview and Gemini 3.6 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.