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Gemini 3.8 Flash vs MedGemma 4B IT

Gemini 3.8 Flash leads the LLM Stats Score 51.2 to -4.5.

Google · Google · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 51.2 to -4.5, ranking #12 overall.

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

Choose Gemini 3.8 Flash

  • overall performance matters — it scores 51.2 and ranks #12 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 3.8 Flash
Google
MedGemma 4B IT
Google
Core performance indexes
LLM Stats Score
51.2
#12
-4.5
#347
Reasoning
47.5
#23
-5.0
#344
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 3.8 Flash
MedGemma 4B IT
Vision
34.1#14
-6.8#201
Multimodal
35.3#11
-5.4#162
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 3.8 Flash · 7 for MedGemma 4B IT

No common benchmarks found

Gemini 3.8 Flash 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 3.8 Flash specifies input context (1,048,576 tokens). Only Gemini 3.8 Flash specifies output context (65,536 tokens).

Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
Google
MedGemma 4B IT
Input- tokens
Output- tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.8 Flash and MedGemma 4B IT support multimodal inputs.

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

Gemini 3.8 Flash

Text
Images
Audio
Video

MedGemma 4B IT

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash 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 3.8 Flash

Proprietary

Closed source

MedGemma 4B IT

Health AI Developer Foundations terms of use

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while MedGemma 4B IT was released on 2025-05-20.

Gemini 3.8 Flash is 16 months newer than MedGemma 4B IT.

Gemini 3.8 Flash

Sep 2, 2026

6 days ago

1.3yr newer
MedGemma 4B IT

May 20, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while MedGemma 4B IT's cutoff date is not specified.

We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without MedGemma 4B IT's cutoff date.

Gemini 3.8 Flash

Mar 2026

MedGemma 4B IT

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash and MedGemma 4B IT side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
MedGemma 4B IT
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs MedGemma 4B IT.

Which is better, Gemini 3.8 Flash or MedGemma 4B IT?

Gemini 3.8 Flash leads the LLM Stats Score 51.2 to -4.5. Gemini 3.8 Flash 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 3.8 Flash compare to MedGemma 4B IT in benchmarks?

Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 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 context window sizes for Gemini 3.8 Flash and MedGemma 4B IT?

Gemini 3.8 Flash 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 3.8 Flash and MedGemma 4B IT?

Key differences include LLM Stats Score (51.2 vs -4.5), licensing (Proprietary vs Health AI Developer Foundations terms of use). See the full comparison above for benchmark-by-benchmark results.

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