NVIDIA: Nemotron Nano 9B V2
Analysis Summary
NVIDIA Nemotron Nano 9B V2 is a compact model with a 128K context window, tool use, and function calling. Its math index is strong at 62.3 and GPQA at 0.557, but the intelligence index of 13.2 and coding index of 7.5 place it well below mid-tier models in the broader field. The agentic index of 12.1 further limits its usefulness for autonomous workflows.
For businesses, this model suits narrow, well-defined tasks where math reasoning is the primary requirement and cost sensitivity is high. At $0.04 input and $0.16 output per million tokens, it is affordable, but the weak coding and instruction-following scores (ifbench 0.27) make it unsuitable for content generation, software engineering, or complex agent pipelines.
Best adopted as a lightweight specialist for structured numerical tasks, not as a general-purpose business model.
Assessed June 6, 2026
Editorial notes
Nemotron Nano 9B V2 delivers strong math performance for its size class, with tool use and function calling, but limited coding and agentic scores constrain its business utility.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How NVIDIA: Nemotron Nano 9B V2 compares
NVIDIA: Nemotron Nano 9B V2 ranks #264 of 378 AI models we track for overall intelligence, #259 of 315 for coding, #244 of 289 for agentic tasks. Its 131K-token context window is larger than 60% of the models we list. At $0.04 per million input tokens it is cheaper than 74% of comparable models.
About NVIDIA: Nemotron Nano 9B V2
NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does NVIDIA: Nemotron Nano 9B V2 stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
nvidia/nemotron-nano-9b-v2
|
| Provider | nvidia |
| Release Date | September 5, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.04 | $0.000040 |
| Output | $0.16 | $0.000160 |
Leaderboard Categories
External Resources
Frequently asked questions about NVIDIA: Nemotron Nano 9B V2
How much does NVIDIA: Nemotron Nano 9B V2 cost?
NVIDIA: Nemotron Nano 9B V2 costs $0.04 per million input tokens and $0.16 per million output tokens.
What is the context window of NVIDIA: Nemotron Nano 9B V2?
NVIDIA: Nemotron Nano 9B V2 has a context window of 131,072 tokens (131K).
Is NVIDIA: Nemotron Nano 9B V2 good for coding?
On our coding benchmark index, NVIDIA: Nemotron Nano 9B V2 ranks #259 of 315 models, placing it in the broader range of the field for code generation and debugging.
What can NVIDIA: Nemotron Nano 9B V2 do?
NVIDIA: Nemotron Nano 9B V2 supports tool use and function calling.
Who created NVIDIA: Nemotron Nano 9B V2?
NVIDIA: Nemotron Nano 9B V2 is developed by NVIDIA and was released on September 5, 2025.
