Model Comparison

GLM-5 vs MedGemma 4B ITWhich is better in 2026?

Comparing GLM-5 and MedGemma 4B IT across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs MedGemma 4B IT — which is better?

GLM-5 (by Zhipu AI) 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 GLM-5 if…

  • you want the most recent training data — it shipped Feb 2026

Choose MedGemma 4B IT if…

  • you are already invested in the Google ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 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

739.7B diff

GLM-5 has 739.7B more parameters than MedGemma 4B IT, making it 17202.3% larger.

Zhipu AI
GLM-5
744.0Bparameters
Google
MedGemma 4B IT
4.3Bparameters
744.0B
GLM-5
4.3B
MedGemma 4B IT

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Google
MedGemma 4B IT
Input- tokens
Output- tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MedGemma 4B IT supports multimodal inputs, whereas GLM-5 does not.

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

GLM-5

Text
Images
Audio
Video

MedGemma 4B IT

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 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.

GLM-5

MIT

Open weights

MedGemma 4B IT

Health AI Developer Foundations terms of use

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while MedGemma 4B IT was released on 2025-05-20.

GLM-5 is 9 months newer than MedGemma 4B IT.

GLM-5

Feb 11, 2026

4 months ago

8mo 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

Zhipu AI
Larger context window (200,000 tokens)
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Google
MedGemma 4B IT

FAQ

Common questions about GLM-5 vs MedGemma 4B IT.

Which is better, GLM-5 or MedGemma 4B IT?

GLM-5 (Zhipu AI) 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 GLM-5 compare to MedGemma 4B IT in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. 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 GLM-5 and MedGemma 4B IT?

GLM-5 supports 200K 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 GLM-5 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 GLM-5 and MedGemma 4B IT?

GLM-5 is developed by Zhipu AI and MedGemma 4B IT is developed by Google.

Related comparisons