LLM Comparison

Kimi K3.1 Pro vs Hy4 Preview: benchmark scores, pricing & comparison.

Side-by-side Kimi K3.1 Pro 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: Kimi K3.1 Pro ranks higher (#4 vs #49) and wins 5 of 5 shared benchmarks; Hy4 Preview costs less ($0.83/$2.50 vs $2.00/$10.0 per 1M tokens).

Rank #4 vs #49AskClash overall scores 75.5 vs 58.3.
Pricing $2.00/$10.0 vs $0.83/$2.50Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightMoonshot AI vs Tencent.

Kimi K3.1 Pro vs Hy4 Preview benchmark comparison

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

MetricKimi K3.1 ProHy4 Preview
Overall Score75.558.3
Leaderboard Rank#4#49
RWT—8.5
HLE70.043.4
GPQA94.292.3
SWE-Pro—65.7
Terminal-Bench65.7—
DeepSWE75.564.3
GDPval-AA1846.01678.0
MCP Atlas—83.7
Finance Agent58.655.1
CharXiv89.0—
MMMU-Pro84.1—
Input Price (per 1M tokens)$2.00$0.83
Output Price (per 1M tokens)$10.0$2.50
Context Window1M1M
Benchmarks Published97

Kimi K3.1 Pro vs Hy4 Preview head-to-head charts

Kimi K3.1 Pro leads 6 and Hy4 Preview leads 0 of 6 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3.1 ProHy4 Preview
Overall
75.5Kimi K3.1 Pro
58.3Hy4 Preview
HLE
70.0Kimi K3.1 Pro
43.4Hy4 Preview
GPQA
94.2Kimi K3.1 Pro
92.3Hy4 Preview
DeepSWE
75.5Kimi K3.1 Pro
64.3Hy4 Preview
GDPval-AA
1846.0Kimi K3.1 Pro
1678.0Hy4 Preview
Finance Agent
58.6Kimi K3.1 Pro
55.1Hy4 Preview
Kimi K3.1 Pro
Input$2.00
Output$10.0
Workload$4.00
Context1M
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 Kimi K3.1 Pro and Hy4 Preview comparisons

Explore how Kimi K3.1 Pro 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.