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Llama 3.2 11B Instruct vs Nemotron Nano 9B v2

Nemotron Nano 9B v2 leads the LLM Stats Score 18.4 to -1.3.

Meta · NVIDIA · Updated for 2026

Which is better?

Nemotron Nano 9B v2 leads the overall LLM Stats Score 18.4 to -1.3, ranking #211 overall.

In the 1 individual benchmarks reported for both models, Nemotron Nano 9B v2 wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Llama 3.2 11B Instruct

  • you want predictable pricing at $0.05/M input and $0.05/M output

Choose Nemotron Nano 9B v2

  • overall performance matters — it scores 18.4 and ranks #211 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

Llama 3.2 11B Instruct
Meta
Nemotron Nano 9B v2
NVIDIA
Core performance indexes
LLM Stats Score
-1.3
#334
18.4
#211
Reasoning
-0.8
#325
17.2
#210
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.05 / M
— / M
Output price
$0.05 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Llama 3.2 11B Instruct
Nemotron Nano 9B v2
Math
1.8#294
16.4#205
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Llama 3.2 11B Instruct · 6 for Nemotron Nano 9B v2

1 shared

Llama 3.2 11B Instruct outperforms in 0 benchmarks, while Nemotron Nano 9B v2 is better at 1 benchmark (GPQA).

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1.7B diff

Llama 3.2 11B Instruct has 1.7B more parameters than Nemotron Nano 9B v2, making it 19.1% larger.

Meta
Llama 3.2 11B Instruct
10.6Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
10.6B
Llama 3.2 11B Instruct
8.9B
Nemotron Nano 9B v2

Context Window

Maximum input and output token capacity

Only Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Llama 3.2 11B Instruct supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.2 11B Instruct

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, while Nemotron Nano 9B v2 uses NVIDIA Open Model License Agreement .

License differences may affect how you can use these models in commercial or open-source projects.

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Llama 3.2 11B Instruct was released on 2024-09-25, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 11 months newer than Llama 3.2 11B Instruct.

Llama 3.2 11B Instruct

Sep 25, 2024

2.0 years ago

Nemotron Nano 9B v2

Aug 18, 2025

1.1 years ago

10mo newer

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a knowledge cutoff of 2023-12-31, while Nemotron Nano 9B v2 has a cutoff of 2024-09-01.

Nemotron Nano 9B v2 has more recent training data (up to 2024-09-01), making it potentially better informed about events through that date compared to Llama 3.2 11B Instruct (2023-12-31).

Llama 3.2 11B Instruct

Dec 2023

Nemotron Nano 9B v2

Sep 2024

9 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Llama 3.2 11B Instruct and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

Llama 3.2 11B Instruct
✓ Preferred
Nemotron Nano 9B v2
Open in Playground

FAQ

Common questions about Llama 3.2 11B Instruct vs Nemotron Nano 9B v2.

Which is better, Llama 3.2 11B Instruct or Nemotron Nano 9B v2?

Nemotron Nano 9B v2 leads the LLM Stats Score 18.4 to -1.3. Llama 3.2 11B Instruct is made by Meta and Nemotron Nano 9B v2 is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama 3.2 11B Instruct compare to Nemotron Nano 9B v2 in benchmarks?

Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%. Nemotron Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%.

What are the context window sizes for Llama 3.2 11B Instruct and Nemotron Nano 9B v2?

Llama 3.2 11B Instruct supports 128K tokens and Nemotron Nano 9B v2 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.2 11B Instruct and Nemotron Nano 9B v2?

Key differences include LLM Stats Score (-1.3 vs 18.4), multimodal support (yes vs no), licensing (Llama 3.2 Community License vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.2 11B Instruct and Nemotron Nano 9B v2?

Llama 3.2 11B Instruct is developed by Meta and Nemotron Nano 9B v2 is developed by NVIDIA.

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