Kimi K2 Instruct
Advanced Kimi model with improved reasoning depth and instruction following capabilities
Leaderboards
QUALITY
Average Score combining domain-specific Autobench scores; Higher is better
- 4.18
- 4.51
- 4.49
- 4.48
- 4.42
- 4.41
- 4.33
- 4.32
- 4.31
- 4.27
- 4.24
- 4.18
- 4.18
- 4.17
- 4.17
- 4.06
- 3.98
- 3.98
- 3.95
- 3.95
- 3.88
- 3.66
- 3.64
- 3.59
- 3.54
- 3.49
PRICE
USD cent per average answer; Lower is better
- 0.24
- 0.02
- 0.02
- 0.03
- 0.05
- 0.08
- 0.08
- 0.09
- 0.12
- 0.14
- 0.18
- 0.24
- 0.36
- 0.45
- 0.63
- 0.63
- 0.64
- 0.83
- 0.87
- 0.91
- 1.59
- 1.71
- 1.85
- 2.92
- 4.37
- 9.13
LATENCY
Average Latency in Seconds; Lower is better
- 65.02s
- 5.29s
- 7.53s
- 7.74s
- 10.65s
- 11.52s
- 17.54s
- 19.16s
- 24.36s
- 26.12s
- 27.01s
- 29.72s
- 32.86s
- 33.67s
- 39.05s
- 40.3s
- 48.62s
- 48.71s
- 60.96s
- 61.12s
- 63.9s
- 65.03s
- 65.9s
- 66.5s
- 68.34s
- 72.64s
- 80.74s
- 90s
- 119.17s
Performance vs. Industry Average
Intelligence
Kimi K2 Instruct is of higher intelligence compared to average (4.1), with an intelligence score of 4.2.
Price
Kimi K2 Instruct is cheaper compared to average ($0.91 per 1M Tokens) with a price of $0.24 per 1M Tokens.
Latency
Kimi K2 Instruct has a higher average latency compared to average (45.24s), with an average latency of 65.02s.
P99 Latency
Kimi K2 Instruct has a higher P99 latency compared to average (172.60s), taking 390.47s to receive the first token at P99 (TTFT).
Context Window
Kimi K2 Instruct has a smaller context window than average (246k tokens), with a context window of 128k tokens.