Nemotron Nano 2 12B VL
DeprecatedNemotron Nano 2 12B VL is NVIDIA's language model with a 131K context window and up to 4K output tokens, available from 2 providers, starting at $0.1 / 1M input and $0.1 / 1M output. A 12B-parameter vision-language model from NVIDIA's Nemotron Nano v2 series, enabling multi-image reasoning, video understanding, and document intelligence.
| Benchmarks | |
|---|---|
| Intelligence Index | #377 |
| Math Index | #103 |
| MMLU-Pro | #182 |
| GPQA | #353 |
| HLE | #330 |
| LiveCodeBench | #91 |
| IFBench | #344 |
| Time to First Token | #438 |
| SciCode | #352 |
| AIME 2025 | #103 |
| LCR | #239 |
| TerminalBench Hard | #286 |
| TAU2 | #325 |
| Output TPS | #43 |
Capabilities
Input3/5
Text✓
Image✓
Audio·
Video✓
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities3/13
Reasoning✓
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling·
Structured Outputs✓
Native JSON Schema·
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | |
|---|---|---|
| Input $ / 1M | Output $ / 1M | |
| $0.1 | $0.1 | |
| $0.2 | $0.6 | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host Nemotron Nano 2 12B VL, ranked by cheapest on-demand price. The model needs about 29 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.
All clouds
FP16 (full precision)
US Dollar ($)
Instance | Cloud | GPU | VRAM | Price | Cheapest region | |
|---|---|---|---|---|---|---|
| Standard_NV16as_v4 |  Azure | AMD Radeon Instinct MI25 | 32 GB | $0.932/hr | ||
| Standard_NP10s | Azure | AMD Alveo U250 FPGA (64GB) | 64 GB | $1.65/hr | ||
| g6e.xlarge |  AWS | L40S | 45 GB | $1.86/hr | ||