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Gemini 2.0 Flash vs Nemotron Nano 9B v2

Gemini 2.0 Flash and Nemotron Nano 9B v2 are closely matched at 16.5 and 18.4 on the LLM Stats Score.

Google · NVIDIA · Updated for 2026

Which is better?

Gemini 2.0 Flash and Nemotron Nano 9B v2 are closely matched on the overall LLM Stats Score at 16.5 and 18.4.

In the 2 individual benchmarks reported for both models, Nemotron Nano 9B v2 wins 2; 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 2.0 Flash

  • you want predictable pricing at $0.10/M input and $0.40/M output

Choose Nemotron Nano 9B v2

  • you value its reported benchmark strengths — it wins 2 of 2 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 2.0 Flash
Google
Nemotron Nano 9B v2
NVIDIA
Core performance indexes
LLM Stats Score
16.5
#225
18.4
#215
Reasoning
15.8
#224
17.2
#214
Coding
1.7
#233
14.4
#137
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 2.0 Flash
Nemotron Nano 9B v2
Math
23.4#131
16.4#206
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.0 Flash · 6 for Nemotron Nano 9B v2

2 shared

Gemini 2.0 Flash outperforms in 0 benchmarks, while Nemotron Nano 9B v2 is better at 2 benchmarks (GPQA, LiveCodeBench).

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 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash
Input1,048,576 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 2.0 Flash supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash 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 2.0 Flash

Proprietary

Closed source

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 9 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.8 years ago

Nemotron Nano 9B v2

Aug 18, 2025

1.1 years ago

8mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a knowledge cutoff of 2024-08-01, 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 2.0 Flash (2024-08-01).

Gemini 2.0 Flash

Aug 2024

Nemotron Nano 9B v2

Sep 2024

1 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash
✓ Preferred
Nemotron Nano 9B v2
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash vs Nemotron Nano 9B v2.

Which is better, Gemini 2.0 Flash or Nemotron Nano 9B v2?

Gemini 2.0 Flash and Nemotron Nano 9B v2 are closely matched on the LLM Stats Score at 16.5 and 18.4. Gemini 2.0 Flash 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 2.0 Flash compare to Nemotron Nano 9B v2 in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. 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 2.0 Flash and Nemotron Nano 9B v2?

Gemini 2.0 Flash supports 1.0M 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 2.0 Flash and Nemotron Nano 9B v2?

Key differences include LLM Stats Score (16.5 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 2.0 Flash and Nemotron Nano 9B v2?

Gemini 2.0 Flash is developed by Google and Nemotron Nano 9B v2 is developed by NVIDIA.

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