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Gemini 4 Argon vs MedGemma 4B IT

Gemini 4 Argon leads the LLM Stats Score 55.1 to -4.8.

Google · Google · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to -4.8, ranking #4 overall.

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

Choose Gemini 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose MedGemma 4B IT

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Argon
Google
MedGemma 4B IT
Google
Core performance indexes
LLM Stats Score
55.1
#4
-4.8
#374
Reasoning
53.2
#6
-5.2
#370
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Argon
MedGemma 4B IT
Vision
37.2#8
-6.8#224
Multimodal
37.2#7
-5.5#183
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 7 for MedGemma 4B IT

No common benchmarks found

Gemini 4 Argon 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

Context Window

Maximum input and output token capacity

Only Gemini 4 Argon specifies input context (1,048,576 tokens). Only Gemini 4 Argon specifies output context (1,048,576 tokens).

Google
Gemini 4 Argon
Input1,048,576 tokens
Output1,048,576 tokens
Google
MedGemma 4B IT
Input- tokens
Output- tokens
Sun Oct 25 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and MedGemma 4B IT support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 4 Argon

Text
Images
Audio
Video

MedGemma 4B IT

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary 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.

Gemini 4 Argon

Proprietary

Closed source

MedGemma 4B IT

Health AI Developer Foundations terms of use

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while MedGemma 4B IT was released on 2025-05-20.

Gemini 4 Argon is 17 months newer than MedGemma 4B IT.

Gemini 4 Argon

Sep 30, 2026

2 weeks ago

1.4yr newer
MedGemma 4B IT

May 20, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and MedGemma 4B IT side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
MedGemma 4B IT
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs MedGemma 4B IT.

Which is better, Gemini 4 Argon or MedGemma 4B IT?

Gemini 4 Argon leads the LLM Stats Score 55.1 to -4.8. Gemini 4 Argon is made by Google 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 Gemini 4 Argon compare to MedGemma 4B IT in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. MedGemma 4B IT scores MIMIC CXR: 88.9%, DermMCQA: 71.8%, PathMCQA: 69.8%, SlakeVQA: 62.3%, VQA-Rad: 49.9%.

What are the context window sizes for Gemini 4 Argon and MedGemma 4B IT?

Gemini 4 Argon supports 1.0M tokens and MedGemma 4B IT 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 4 Argon and MedGemma 4B IT?

Key differences include LLM Stats Score (55.1 vs -4.8), licensing (Proprietary vs Health AI Developer Foundations terms of use). See the full comparison above for benchmark-by-benchmark results.

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