Model Comparison

MedGemma 4B IT vs Qwen3 235B A22B

Comparing MedGemma 4B IT and Qwen3 235B A22B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

MedGemma 4B IT and Qwen3 235B A22B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Google
MedGemma 4B IT
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input tokens$0.10
Output tokens$0.10
Best providerFireworks
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Model Size

Parameter count comparison

230.7B diff

Qwen3 235B A22B has 230.7B more parameters than MedGemma 4B IT, making it 5365.1% larger.

Google
MedGemma 4B IT
4.3Bparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
4.3B
MedGemma 4B IT
235.0B
Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Only Qwen3 235B A22B specifies input context (128,000 tokens). Only Qwen3 235B A22B specifies output context (128,000 tokens).

Google
MedGemma 4B IT
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MedGemma 4B IT supports multimodal inputs, whereas Qwen3 235B A22B does not.

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

MedGemma 4B IT

Text
Images
Audio
Video

Qwen3 235B A22B

Text
Images
Audio
Video

License

Usage and distribution terms

MedGemma 4B IT is licensed under Health AI Developer Foundations terms of use, while Qwen3 235B A22B 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 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

MedGemma 4B IT was released on 2025-05-20, while Qwen3 235B A22B was released on 2025-04-29.

MedGemma 4B IT is 1 month newer than Qwen3 235B A22B.

MedGemma 4B IT

May 20, 2025

10 months ago

3w newer
Qwen3 235B A22B

Apr 29, 2025

11 months 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

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Key Takeaways

Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Google
MedGemma 4B IT
Alibaba Cloud / Qwen Team
Qwen3 235B A22B

FAQ

Common questions about MedGemma 4B IT vs Qwen3 235B A22B

MedGemma 4B IT (Google) and Qwen3 235B A22B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
MedGemma 4B IT scores MIMIC CXR: 88.9%, DermMCQA: 71.8%, PathMCQA: 69.8%, SlakeVQA: 62.3%, VQA-Rad: 49.9%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.
MedGemma 4B IT supports an unknown number of tokens and Qwen3 235B A22B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Health AI Developer Foundations terms of use vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
MedGemma 4B IT is developed by Google and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.