Model Comparison

DeepSeek-V3.2 (Non-thinking) vs MedGemma 4B ITWhich is better in 2026?

Comparing DeepSeek-V3.2 (Non-thinking) and MedGemma 4B IT across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-V3.2 (Non-thinking) vs MedGemma 4B IT — which is better?

DeepSeek-V3.2 (Non-thinking) (by DeepSeek) and MedGemma 4B IT (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek-V3.2 (Non-thinking) if…

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

Choose MedGemma 4B IT if…

  • you are already invested in the Google ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2 (Non-thinking) and MedGemma 4B ITdon'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

680.7B diff

DeepSeek-V3.2 (Non-thinking) has 680.7B more parameters than MedGemma 4B IT, making it 15830.2% larger.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
685.0Bparameters
Google
MedGemma 4B IT
4.3Bparameters
685.0B
DeepSeek-V3.2 (Non-thinking)
4.3B
MedGemma 4B IT

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2 (Non-thinking) specifies input context (131,072 tokens). Only DeepSeek-V3.2 (Non-thinking) specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input131,072 tokens
Output8,192 tokens
Google
MedGemma 4B IT
Input- tokens
Output- tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MedGemma 4B IT supports multimodal inputs, whereas DeepSeek-V3.2 (Non-thinking) does not.

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

DeepSeek-V3.2 (Non-thinking)

Text
Images
Audio
Video

MedGemma 4B IT

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2 (Non-thinking) is licensed under MIT, 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.

DeepSeek-V3.2 (Non-thinking)

MIT

Open weights

MedGemma 4B IT

Health AI Developer Foundations terms of use

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while MedGemma 4B IT was released on 2025-05-20.

DeepSeek-V3.2 (Non-thinking) is 7 months newer than MedGemma 4B IT.

DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

6 months ago

6mo newer
MedGemma 4B IT

May 20, 2025

1.1 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?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Google
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3.2 (Non-thinking) and MedGemma 4B IT side-by-side, then vote on the output you prefer.

DeepSeek-V3.2 (Non-thinking)
✓ Preferred
MedGemma 4B IT
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2 (Non-thinking)
Google
MedGemma 4B IT

FAQ

Common questions about DeepSeek-V3.2 (Non-thinking) vs MedGemma 4B IT.

Which is better, DeepSeek-V3.2 (Non-thinking) or MedGemma 4B IT?

DeepSeek-V3.2 (Non-thinking) (DeepSeek) and MedGemma 4B IT (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V3.2 (Non-thinking) compare to MedGemma 4B IT in benchmarks?

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 DeepSeek-V3.2 (Non-thinking) and MedGemma 4B IT?

DeepSeek-V3.2 (Non-thinking) supports 131K 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 DeepSeek-V3.2 (Non-thinking) and MedGemma 4B IT?

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

Who makes DeepSeek-V3.2 (Non-thinking) and MedGemma 4B IT?

DeepSeek-V3.2 (Non-thinking) is developed by DeepSeek and MedGemma 4B IT is developed by Google.

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