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Gemini 1.5 Pro vs Nemotron Nano 9B v2

Nemotron Nano 9B v2 leads the LLM Stats Score 18.4 to 12.0.

Google · NVIDIA · Updated for 2026

Which is better?

Nemotron Nano 9B v2 leads the overall LLM Stats Score 18.4 to 12.0, ranking #217 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 Gemini 1.5 Pro

  • you want predictable pricing at $2.50/M input and $10.00/M output

Choose Nemotron Nano 9B v2

  • overall performance matters — it scores 18.4 and ranks #217 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
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 1.5 Pro
Google
Nemotron Nano 9B v2
NVIDIA
Core performance indexes
LLM Stats Score
12.0
#261
18.4
#217
Reasoning
11.8
#256
17.2
#216
Coding
4.4
#214
14.4
#139
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
2,097,152
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 1.5 Pro
Nemotron Nano 9B v2
Math
16.9#201
16.4#206
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for Gemini 1.5 Pro · 6 for Nemotron Nano 9B v2

1 shared

Gemini 1.5 Pro outperforms in 0 benchmarks, while Nemotron Nano 9B v2 is better at 1 benchmark (GPQA).

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 1.5 Pro supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Pro

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro is licensed under a proprietary 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.

Gemini 1.5 Pro

Proprietary

Closed source

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 16 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.4 years ago

Nemotron Nano 9B v2

Aug 18, 2025

1.1 years ago

1.3yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a knowledge cutoff of 2023-11-01, 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 Gemini 1.5 Pro (2023-11-01).

Gemini 1.5 Pro

Nov 2023

Nemotron Nano 9B v2

Sep 2024

10 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 1.5 Pro and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

Gemini 1.5 Pro
✓ Preferred
Nemotron Nano 9B v2
Open in Playground

FAQ

Common questions about Gemini 1.5 Pro vs Nemotron Nano 9B v2.

Which is better, Gemini 1.5 Pro or Nemotron Nano 9B v2?

Nemotron Nano 9B v2 leads the LLM Stats Score 18.4 to 12.0. Gemini 1.5 Pro is made by Google 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 Gemini 1.5 Pro compare to Nemotron Nano 9B v2 in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. 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 Gemini 1.5 Pro and Nemotron Nano 9B v2?

Gemini 1.5 Pro supports 2.1M 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 Gemini 1.5 Pro and Nemotron Nano 9B v2?

Key differences include LLM Stats Score (12.0 vs 18.4), multimodal support (yes vs no), licensing (Proprietary vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Pro and Nemotron Nano 9B v2?

Gemini 1.5 Pro is developed by Google and Nemotron Nano 9B v2 is developed by NVIDIA.

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