Context Window
131,072
Input tokens
Full-context input ≈ $0.01
Model Cost Profile
Developer: nvidia· Tokenizer: Other · Quantization: bf16
Canonical ID: nvidia/nemotron-nano-9b-v2
Pricing updated Apr 22, 2026
Live Pricing
Input: $0.0400
Output: $0.1600
Last synced Apr 22, 2026 · MMLU score via public benchmark data
NVIDIA's Nemotron Nano 9B V2 features an extensive context window of 131,072 tokens, making it suitable for applications that require processing large volumes of text, such as document summarization and complex conversational agents. With an input price of $0.04 per 1M tokens and an output price of $0.16 per 1M tokens, teams can optimize their budget while leveraging advanced AI capabilities for projects like content generation and data analysis. This model is particularly beneficial for organizations needing scalable solutions that handle expansive datasets efficiently.
Context Window
131,072
Input tokens
Full-context input ≈ $0.01
Max Output
—
Not specified
Input Price / 1M
$0.0400
Prompt tokens
Output Price / 1M
$0.1600
Completion tokens
Top Benchmark
73.9
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for NVIDIA: Nemotron Nano 9B V2. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$0.0400
Current Output / 1M
$0.1600
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
100.0%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0400 |
| Output (Completion) | $0.1600 |
Estimate monthly spend for NVIDIA: Nemotron Nano 9B V2 based on your workload.
Estimated Monthly Cost
$2.92
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.