LLM Comparison

Kimi K2.7 vs Hy3: benchmark scores, pricing & comparison.

Side-by-side Kimi K2.7 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.

Rank #26 vs #30AskClash overall scores 51.6 vs 43.9.
Pricing $0.95/$4.00 vs $0.12/$0.43Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightMoonshot AI vs Tencent.

Kimi K2.7 vs Hy3 benchmark comparison

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

MetricKimi K2.7Hy3
Overall Score51.643.9
Leaderboard Rank#26#30
ACB43.0
RWT7.58.0
HLE54.053.2
GPQA90.590.4
SWE-bench80.278.0
SWE-Pro58.657.9
Terminal-Bench66.771.7
DeepSWE30.5
OSWorld73.1
MCP Atlas76.079.1
Finance Agent44.9
CharXiv80.4
MMMU-Pro79.4
Tau290.192.7
MRCR75.1
Input Price (per 1M tokens)$0.95$0.12
Output Price (per 1M tokens)$4.00$0.43
Context Window256K256K
Benchmarks Published149

Kimi K2.7 vs Hy3 head-to-head charts

Kimi K2.7 leads 5 and Hy3 leads 4 of 9 shared benchmarks. Hy3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K2.7Hy3
Overall
51.6Kimi K2.7
43.9Hy3
RWT
7.5Kimi K2.7
8.0Hy3
HLE
54.0Kimi K2.7
53.2Hy3
GPQA
90.5Kimi K2.7
90.4Hy3
SWE-bench
80.2Kimi K2.7
78.0Hy3
SWE-Pro
58.6Kimi K2.7
57.9Hy3
Terminal-Bench
66.7Kimi K2.7
71.7Hy3
MCP Atlas
76.0Kimi K2.7
79.1Hy3
Tau2
90.1Kimi K2.7
92.7Hy3
Kimi K2.7
Input$0.95
Output$4.00
Workload$1.75
Context256K
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 K2.7 and Hy3 comparisons

Explore how Kimi K2.7 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.