Model Comparison

MedGemma 4B IT vs Nemotron Nano 9B v2

Comparing MedGemma 4B IT and Nemotron Nano 9B v2 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MedGemma 4B IT and Nemotron Nano 9B v2 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

4.6B diff

Nemotron Nano 9B v2 has 4.6B more parameters than MedGemma 4B IT, making it 107.0% larger.

Google
MedGemma 4B IT
4.3Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
4.3B
MedGemma 4B IT
8.9B
Nemotron Nano 9B v2

Input Capabilities

Supported data types and modalities

MedGemma 4B IT supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

MedGemma 4B IT can handle both text and other forms of data like images, making it suitable for multimodal applications.

MedGemma 4B IT

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

MedGemma 4B IT is licensed under Health AI Developer Foundations terms of use, 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.

MedGemma 4B IT

Health AI Developer Foundations terms of use

Open weights

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

MedGemma 4B IT was released on 2025-05-20, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 3 months newer than MedGemma 4B IT.

MedGemma 4B IT

May 20, 2025

1.0 years ago

Nemotron Nano 9B v2

Aug 18, 2025

9 months ago

3mo newer

Knowledge Cutoff

When training data ends

Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while MedGemma 4B IT's cutoff date is not specified.

We can confirm Nemotron Nano 9B v2's training data extends to 2024-09-01, but cannot make a direct comparison without MedGemma 4B IT's cutoff date.

MedGemma 4B IT

Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Supports multimodal inputs

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Google
MedGemma 4B IT
NVIDIA
Nemotron Nano 9B v2

FAQ

Common questions about MedGemma 4B IT vs Nemotron Nano 9B v2.

Which is better, MedGemma 4B IT or Nemotron Nano 9B v2?

MedGemma 4B IT (Google) and Nemotron Nano 9B v2 (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does MedGemma 4B IT compare to Nemotron Nano 9B v2 in benchmarks?

MedGemma 4B IT scores MIMIC CXR: 88.9%, DermMCQA: 71.8%, PathMCQA: 69.8%, SlakeVQA: 62.3%, VQA-Rad: 49.9%. 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 main differences between MedGemma 4B IT and Nemotron Nano 9B v2?

Key differences include multimodal support (yes vs no), licensing (Health AI Developer Foundations terms of use vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes MedGemma 4B IT and Nemotron Nano 9B v2?

MedGemma 4B IT is developed by Google and Nemotron Nano 9B v2 is developed by NVIDIA.