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MedGemma 4B IT vs Qwen3 VL 30B A3B Thinking

MedGemma 4B IT and Qwen3 VL 30B A3B Thinking are closely matched at -4.4 and 18.3 on the LLM Stats Score.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MedGemma 4B IT and Qwen3 VL 30B A3B Thinking are closely matched on the overall LLM Stats Score at -4.4 and 18.3.

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

Choose MedGemma 4B IT

  • you are already invested in the Google ecosystem

Choose Qwen3 VL 30B A3B Thinking

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

At a glance

The differences that matter most.

MedGemma 4B IT
Google
Qwen3 VL 30B A3B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
-4.4
#337
18.3
#202
Reasoning
-4.9
#332
19.5
#188
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.20 / M
Output price
— / M
$0.99 / M
Context window
—
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
MedGemma 4B IT
Qwen3 VL 30B A3B Thinking
Vision
-6.6#198
12.8#98
Multimodal
-5.2#160
15.7#85
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for MedGemma 4B IT · 50 for Qwen3 VL 30B A3B Thinking

No common benchmarks found

MedGemma 4B IT and Qwen3 VL 30B A3B Thinkingdon'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

26.7B diff

Qwen3 VL 30B A3B Thinking has 26.7B more parameters than MedGemma 4B IT, making it 620.9% larger.

Google
MedGemma 4B IT
4.3Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
31.0Bparameters
4.3B
MedGemma 4B IT
31.0B
Qwen3 VL 30B A3B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).

Google
MedGemma 4B IT
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both MedGemma 4B IT and Qwen3 VL 30B A3B Thinking support multimodal inputs.

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

MedGemma 4B IT

Text
Images
Audio
Video

Qwen3 VL 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

MedGemma 4B IT is licensed under Health AI Developer Foundations terms of use, while Qwen3 VL 30B A3B Thinking uses Apache 2.0.

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

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

MedGemma 4B IT was released on 2025-05-20, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Qwen3 VL 30B A3B Thinking is 4 months newer than MedGemma 4B IT.

MedGemma 4B IT

May 20, 2025

1.3 years ago

Qwen3 VL 30B A3B Thinking

Sep 22, 2025

11 months ago

4mo newer

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→

Judge for yourself.

Run your own prompts against MedGemma 4B IT and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.

MedGemma 4B IT
✓ Preferred
Qwen3 VL 30B A3B Thinking
Open in Playground

FAQ

Common questions about MedGemma 4B IT vs Qwen3 VL 30B A3B Thinking.

Which is better, MedGemma 4B IT or Qwen3 VL 30B A3B Thinking?

MedGemma 4B IT and Qwen3 VL 30B A3B Thinking are closely matched on the LLM Stats Score at -4.4 and 18.3. MedGemma 4B IT is made by Google and Qwen3 VL 30B A3B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MedGemma 4B IT compare to Qwen3 VL 30B A3B Thinking in benchmarks?

MedGemma 4B IT scores MIMIC CXR: 88.9%, DermMCQA: 71.8%, PathMCQA: 69.8%, SlakeVQA: 62.3%, VQA-Rad: 49.9%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

What are the context window sizes for MedGemma 4B IT and Qwen3 VL 30B A3B Thinking?

MedGemma 4B IT supports an unknown number of tokens and Qwen3 VL 30B A3B Thinking supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between MedGemma 4B IT and Qwen3 VL 30B A3B Thinking?

Key differences include LLM Stats Score (-4.4 vs 18.3), licensing (Health AI Developer Foundations terms of use vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MedGemma 4B IT and Qwen3 VL 30B A3B Thinking?

MedGemma 4B IT is developed by Google and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.

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