LLM Comparison

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

Side-by-side Hy3 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.

Verdict: Hy3 ranks higher (#44 vs #45) and wins 6 of 6 shared benchmarks; Hy3 costs less ($0.12/$0.43 vs $0.95/$4.00 per 1M tokens).

Rank #44 vs #45AskClash overall scores 50.3 vs 41.7.
Pricing $0.12/$0.43 vs $0.95/$4.00Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightTencent vs Moonshot AI.

Hy3 vs Kimi K2.7 benchmark comparison

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

MetricHy3Kimi K2.7
Overall Score50.341.7
Leaderboard Rank#44#45
ACB—43.0
RWT8.07.5
HLE53.235.0
GPQA90.489.6
IFEval—63.1
SWE-bench78.0—
SWE-Pro57.9—
DeepSWE—30.5
GDPval-AA1066.61037.5
MCP Atlas79.176.0
Tau292.790.1
MRCR75.1—
Input Price (per 1M tokens)$0.12$0.95
Output Price (per 1M tokens)$0.43$4.00
Context Window256K256K
Benchmarks Published89

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

Hy3 leads 7 and Kimi K2.7 leads 0 of 7 shared benchmarks. Hy3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Hy3Kimi K2.7
Overall
50.3Hy3
41.7Kimi K2.7
RWT
8.0Hy3
7.5Kimi K2.7
HLE
53.2Hy3
35.0Kimi K2.7
GPQA
90.4Hy3
89.6Kimi K2.7
GDPval-AA
1066.6Hy3
1037.5Kimi K2.7
MCP Atlas
79.1Hy3
76.0Kimi K2.7
Tau2
92.7Hy3
90.1Kimi K2.7
Hy3
Input$0.12
Output$0.43
Workload$0.21
Context256K
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 Hy3 and Kimi K2.7 comparisons

Explore how Hy3 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.