LLM Comparison

Kimi K3.1 Pro vs Hy3: benchmark scores, pricing & comparison.

Side-by-side Kimi K3.1 Pro vs Hy3 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 #109) and wins 3 of 3 shared benchmarks; Hy3 costs less ($0.12/$0.43 vs $2.00/$10.0 per 1M tokens).

Rank #4 vs #109AskClash overall scores 75.5 vs 46.3.
Pricing $2.00/$10.0 vs $0.12/$0.43Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightMoonshot AI vs Tencent.

Kimi K3.1 Pro vs Hy3 benchmark comparison

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

MetricKimi K3.1 ProHy3
Overall Score75.546.3
Leaderboard Rank#4#109
RWT—8.0
HLE70.053.2
GPQA94.290.4
SWE-bench—78.0
SWE-Pro—57.9
Terminal-Bench65.7—
DeepSWE75.5—
GDPval-AA1846.01066.6
MCP Atlas—79.1
Finance Agent58.6—
CharXiv89.0—
MMMU-Pro84.1—
Tau2—92.7
MRCR—75.1
Input Price (per 1M tokens)$2.00$0.12
Output Price (per 1M tokens)$10.0$0.43
Context Window1M256K
Benchmarks Published98

Kimi K3.1 Pro vs Hy3 head-to-head charts

Kimi K3.1 Pro leads 4 and Hy3 leads 0 of 4 shared benchmarks. Hy3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3.1 ProHy3
Overall
75.5Kimi K3.1 Pro
46.3Hy3
HLE
70.0Kimi K3.1 Pro
53.2Hy3
GPQA
94.2Kimi K3.1 Pro
90.4Hy3
GDPval-AA
1846.0Kimi K3.1 Pro
1066.6Hy3
Kimi K3.1 Pro
Input$2.00
Output$10.0
Workload$4.00
Context1M
Hy3
Input$0.12
Output$0.43
Workload$0.21
Context256K

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

More Kimi K3.1 Pro and Hy3 comparisons

Explore how Kimi K3.1 Pro and Hy3 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.