LLM Comparison

Grok 4.6 vs Hy4 Preview: benchmark scores, pricing & comparison.

Side-by-side Grok 4.6 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 #4 vs #18AskClash overall scores 77.1 vs 58.2.
Pricing $2.00/$6.00 vs $0.83/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightxAI vs Tencent.

Grok 4.6 vs Hy4 Preview benchmark comparison

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

MetricGrok 4.6Hy4 Preview
Overall Score77.158.2
Leaderboard Rank#4#18
ACB69.0
RWT9.08.5
Coding Agent Index76.4
HLE40.343.4
GPQA94.992.3
SWE-Pro64.765.7
SWE-Atlas83.9
Terminal-Bench88.485.4
DeepSWE65.964.3
GDPval-AA1753.01678.0
MCP Atlas83.7
Finance Agent53.7
MMMU-Pro80.4
ARC-AGI 252.6
Input Price (per 1M tokens)$2.00$0.83
Output Price (per 1M tokens)$6.00$2.50
Context Window500K1M
Benchmarks Published137

Grok 4.6 vs Hy4 Preview head-to-head charts

Grok 4.6 leads 6 and Hy4 Preview leads 2 of 8 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Grok 4.6Hy4 Preview
Overall
77.1Grok 4.6
58.2Hy4 Preview
RWT
9.0Grok 4.6
8.5Hy4 Preview
HLE
40.3Grok 4.6
43.4Hy4 Preview
GPQA
94.9Grok 4.6
92.3Hy4 Preview
SWE-Pro
64.7Grok 4.6
65.7Hy4 Preview
Terminal-Bench
88.4Grok 4.6
85.4Hy4 Preview
DeepSWE
65.9Grok 4.6
64.3Hy4 Preview
GDPval-AA
1753.0Grok 4.6
1678.0Hy4 Preview
Grok 4.6
Input$2.00
Output$6.00
Workload$3.20
Context500K
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 Grok 4.6 and Hy4 Preview comparisons

Explore how Grok 4.6 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.