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.

Open live leaderboardHy3 model pageKimi K2.7 model page
Rank #33 vs #46AskClash overall scores 44.1 vs 34.8.
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 Score44.134.8
Leaderboard Rank#33#46
ACB—43.0
RWT8.07.5
HLE53.2—
GPQA90.4—
SWE-bench78.0—
SWE-Pro57.9—
Terminal-Bench71.7—
DeepSWE—30.5
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 Published95

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

Hy3 leads 4 and Kimi K2.7 leads 0 of 4 shared benchmarks. Hy3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Hy3Kimi K2.7
Overall
44.1Hy3
34.8Kimi K2.7
RWT
8.0Hy3
7.5Kimi 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.

Claude Fable 5.1 vs Hy3Claude Fable 5.1 vs Kimi K2.7Claude Fable 5 vs Hy3Claude Fable 5 vs Kimi K2.7GPT-5.6 Sol vs Hy3GPT-5.6 Sol vs Kimi K2.7Claude Opus 5 vs Hy3Claude Opus 5 vs Kimi K2.7Grok 4.6 vs Hy3Grok 4.6 vs Kimi K2.7

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.