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Llama-3.3 Nemotron Super 49B v1 vs MedGemma 4B IT

Llama-3.3 Nemotron Super 49B v1 and MedGemma 4B IT are closely matched at 13.2 and -4.5 on the LLM Stats Score.

NVIDIA · Google · Updated for 2026

Which is better?

Llama-3.3 Nemotron Super 49B v1 and MedGemma 4B IT are closely matched on the overall LLM Stats Score at 13.2 and -4.5.

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

Choose Llama-3.3 Nemotron Super 49B v1

  • you are already invested in the NVIDIA ecosystem

Choose MedGemma 4B IT

  • you want the most recent training data — it shipped May 2025

At a glance

The differences that matter most.

Llama-3.3 Nemotron Super 49B v1
NVIDIA
MedGemma 4B IT
Google
Core performance indexes
LLM Stats Score
13.2
#244
-4.5
#347
Reasoning
13.3
#237
-5.0
#344
Cost, coverage & limits
Benchmark wins
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Input price
— / M
— / M
Output price
— / M
— / M
Context window
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Individual benchmarks

7 reported for Llama-3.3 Nemotron Super 49B v1 · 7 for MedGemma 4B IT

No common benchmarks found

Llama-3.3 Nemotron Super 49B v1 and MedGemma 4B ITdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

45.6B diff

Llama-3.3 Nemotron Super 49B v1 has 45.6B more parameters than MedGemma 4B IT, making it 1060.5% larger.

NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
Google
MedGemma 4B IT
4.3Bparameters
49.9B
Llama-3.3 Nemotron Super 49B v1
4.3B
MedGemma 4B IT

Input capabilities

Documented input modalities across available providers

MedGemma 4B IT supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 does not.

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

Llama-3.3 Nemotron Super 49B v1

Text
Images
Audio
Video

MedGemma 4B IT

Text
Images
Audio
Video

License

Usage and distribution terms

Llama-3.3 Nemotron Super 49B v1 is licensed under Llama 3.1 Community License, while MedGemma 4B IT uses Health AI Developer Foundations terms of use.

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

Llama-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

MedGemma 4B IT

Health AI Developer Foundations terms of use

Open weights

Release Timeline

When each model was launched

Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18, while MedGemma 4B IT was released on 2025-05-20.

MedGemma 4B IT is 2 months newer than Llama-3.3 Nemotron Super 49B v1.

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.5 years ago

MedGemma 4B IT

May 20, 2025

1.3 years ago

2mo newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while MedGemma 4B IT's cutoff date is not specified.

We can confirm Llama-3.3 Nemotron Super 49B v1's training data extends to 2023-12-31, but cannot make a direct comparison without MedGemma 4B IT's cutoff date.

Llama-3.3 Nemotron Super 49B v1

Dec 2023

MedGemma 4B IT

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Outputs Comparison

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Judge for yourself.

Run your own prompts against Llama-3.3 Nemotron Super 49B v1 and MedGemma 4B IT side-by-side, then vote on the output you prefer.

Llama-3.3 Nemotron Super 49B v1
✓ Preferred
MedGemma 4B IT
Open in Playground

FAQ

Common questions about Llama-3.3 Nemotron Super 49B v1 vs MedGemma 4B IT.

Which is better, Llama-3.3 Nemotron Super 49B v1 or MedGemma 4B IT?

Llama-3.3 Nemotron Super 49B v1 and MedGemma 4B IT are closely matched on the LLM Stats Score at 13.2 and -4.5. Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA and MedGemma 4B IT is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama-3.3 Nemotron Super 49B v1 compare to MedGemma 4B IT in benchmarks?

Llama-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%. MedGemma 4B IT scores MIMIC CXR: 88.9%, DermMCQA: 71.8%, PathMCQA: 69.8%, SlakeVQA: 62.3%, VQA-Rad: 49.9%.

What are the main differences between Llama-3.3 Nemotron Super 49B v1 and MedGemma 4B IT?

Key differences include LLM Stats Score (13.2 vs -4.5), multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Health AI Developer Foundations terms of use). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama-3.3 Nemotron Super 49B v1 and MedGemma 4B IT?

Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA and MedGemma 4B IT is developed by Google.

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