LLM Comparison

Hy4 Preview vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side Hy4 Preview vs Kimi K2.7 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 #28AskClash overall scores 58.2 vs 44.0.
Pricing $0.83/$2.50 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightTencent vs Moonshot AI.

Hy4 Preview vs Kimi K2.7 benchmark comparison

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

MetricHy4 PreviewKimi K2.7
Overall Score58.244.0
Leaderboard Rank#18#28
ACB43.0
RWT8.57.5
HLE43.454.0
GPQA92.390.5
SWE-bench80.2
SWE-Pro65.758.6
Terminal-Bench85.466.7
DeepSWE64.330.5
GDPval-AA1678.0
OSWorld73.1
MCP Atlas83.776.0
Finance Agent44.9
CharXiv80.4
MMMU-Pro79.4
Tau290.1
Input Price (per 1M tokens)$0.83$0.95
Output Price (per 1M tokens)$2.50$4.00
Context Window1M256K
Benchmarks Published714

Hy4 Preview vs Kimi K2.7 head-to-head charts

Hy4 Preview leads 7 and Kimi K2.7 leads 1 of 8 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Hy4 PreviewKimi K2.7
Overall
58.2Hy4 Preview
44.0Kimi K2.7
RWT
8.5Hy4 Preview
7.5Kimi K2.7
HLE
43.4Hy4 Preview
54.0Kimi K2.7
GPQA
92.3Hy4 Preview
90.5Kimi K2.7
SWE-Pro
65.7Hy4 Preview
58.6Kimi K2.7
Terminal-Bench
85.4Hy4 Preview
66.7Kimi K2.7
DeepSWE
64.3Hy4 Preview
30.5Kimi K2.7
MCP Atlas
83.7Hy4 Preview
76.0Kimi K2.7
Hy4 Preview
Input$0.83
Output$2.50
Workload$1.33
Context1M
Kimi K2.7
Input$0.95
Output$4.00
Workload$1.75
Context256K

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

More Hy4 Preview and Kimi K2.7 comparisons

Explore how Hy4 Preview and Kimi K2.7 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.