LLM Comparison

Hy4 Preview vs Kimi K3: benchmark scores, pricing & comparison.

Side-by-side Hy4 Preview vs Kimi K3 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: Hy4 Preview ranks higher (#48 vs #67); Kimi K3 wins 4 of 7 shared benchmarks; Hy4 Preview costs less ($0.83/$2.50 vs $3.00/$15.0 per 1M tokens).

Rank #48 vs #67AskClash overall scores 58.5 vs 56.4.
Pricing $0.83/$2.50 vs $3.00/$15.0Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightTencent vs Moonshot AI.

Hy4 Preview vs Kimi K3 benchmark comparison

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

MetricHy4 PreviewKimi K3
Overall Score58.556.4
Leaderboard Rank#48#67
ACB—57.7
RWT8.58.0
HLE43.443.5
GPQA92.393.5
SWE-Pro65.7—
Terminal-Bench—12.6
DeepSWE64.368.5
GDPval-AA1678.01668.0
MCP Atlas83.784.2
Finance Agent55.153.1
CharXiv—84.8
MMMU-Pro—81.6
Input Price (per 1M tokens)$0.83$3.00
Output Price (per 1M tokens)$2.50$15.0
Context Window1M1M
Benchmarks Published713

Hy4 Preview vs Kimi K3 head-to-head charts

Hy4 Preview leads 4 and Kimi K3 leads 4 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 K3
Overall
58.5Hy4 Preview
56.4Kimi K3
RWT
8.5Hy4 Preview
8.0Kimi K3
HLE
43.4Hy4 Preview
43.5Kimi K3
GPQA
92.3Hy4 Preview
93.5Kimi K3
DeepSWE
64.3Hy4 Preview
68.5Kimi K3
GDPval-AA
1678.0Hy4 Preview
1668.0Kimi K3
MCP Atlas
83.7Hy4 Preview
84.2Kimi K3
Finance Agent
55.1Hy4 Preview
53.1Kimi K3
Hy4 Preview
Input$0.83
Output$2.50
Workload$1.33
Context1M
Kimi K3
Input$3.00
Output$15.0
Workload$6.00
Context1M

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

More Hy4 Preview and Kimi K3 comparisons

Explore how Hy4 Preview and Kimi K3 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.