LLM Comparison

Grok 4.7 vs Hy4 Preview: benchmark scores, pricing & comparison.

Side-by-side Grok 4.7 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.

Verdict: Grok 4.7 ranks higher (#29 vs #30); Hy4 Preview wins 1 of 1 shared benchmarks; Hy4 Preview costs less ($0.83/$2.50 vs $2.00/$6.00 per 1M tokens).

Rank #29 vs #30AskClash overall scores 51.5 vs 51.4.
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 4.7 vs Hy4 Preview benchmark comparison

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

MetricGrok 4.7Hy4 Preview
Overall Score51.551.4
Leaderboard Rank#29#30
ACB66.4—
RWT—8.5
Coding Agent Index46.6—
HLE—43.4
GPQA—92.3
SWE-Pro—65.7
SWE-Atlas62.9—
Terminal-Bench25.8—
DeepSWE—64.3
GDPval-AA—1678.0
MCP Atlas—83.7
Finance Agent60.661.6
Input Price (per 1M tokens)$2.00$0.83
Output Price (per 1M tokens)$6.00$2.50
Context Window500K1M
Benchmarks Published77

Grok 4.7 vs Hy4 Preview head-to-head charts

Grok 4.7 leads 1 and Hy4 Preview leads 1 of 2 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Grok 4.7Hy4 Preview
Overall
51.5Grok 4.7
51.4Hy4 Preview
Finance Agent
60.6Grok 4.7
61.6Hy4 Preview
Grok 4.7
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 4.7 and Hy4 Preview comparisons

Explore how Grok 4.7 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.