Nemotron nano 9b v2
Nemotron Nano 9B v2 is a compact 9B model by NVIDIA. It is a unified model for reasoning and non-reasoning tasks, trained from scratch.
Leaderboards
QUALITY
Average Score combining domain-specific Autobench scores; Higher is better
- 4.49
- 4.45
- 4.37
- 4.37
- 4.34
- 4.32
- 4.30
- 4.27
- 4.27
- 4.25
- 4.23
- 4.21
- 4.17
- 4.08
- 3.70
- 3.70
- 3.61
- 3.46
- 3.35
PRICE
USD cent per average answer; Lower is better
- 0.01
- 0.03
- 0.05
- 0.06
- 0.07
- 0.10
- 0.17
- 0.17
- 0.26
- 0.58
- 0.83
- 0.91
- 0.98
- 1.42
- 1.88
- 4.84
- 7.53
- 7.71
- 15.44
LATENCY
Average Latency in Seconds; Lower is better
- 24.98s
- 6.62s
- 13.00s
- 13.16s
- 14.38s
- 17.14s
- 17.49s
- 17.88s
- 18.39s
- 19.90s
- 23.30s
- 36.21s
- 40.03s
- 41.83s
- 43.38s
- 45.14s
- 45.45s
- 54.51s
- 58.05s
- 63.81s
- 68.67s
- 85.92s
- 99.89s
- 100.48s
- 107.45s
- 113.96s
- 129.78s
- 151.90s
Performance vs. Industry Average
Intelligence
Nemotron nano 9b v2 is of lower intelligence compared to average (4.1), with an intelligence score of 3.6.
Price
Nemotron nano 9b v2 is cheaper compared to average ($1.68 per 1M Tokens) with a price of $0.04 per 1M Tokens.
Latency
Nemotron nano 9b v2 has a lower average latency compared to average (53.05s), with an average latency of 24.53s.
P99 Latency
Nemotron nano 9b v2 has a lower P99 latency compared to average (187.12s), taking 105.27s to receive the first token at P99 (TTFT).
Context Window
Nemotron nano 9b v2 has a smaller context window than average (339k tokens), with a context window of 131k tokens.