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GLM-5.3-Flash vs MedGemma 4B IT

Comparing GLM-5.3-Flash and MedGemma 4B IT across benchmarks, pricing, and capabilities.

Zhipu AI · Google · Updated for 2026

Which is better?

GLM-5.3-Flash and MedGemma 4B IT trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3-Flash

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

Choose MedGemma 4B IT

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
MedGemma 4B IT
Google
Benchmark wins
—
—
Input price
$0.15 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
May 2025
License
MIT
Health AI Developer Foundations terms of use

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3-Flash and MedGemma 4B ITdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

315.7B diff

GLM-5.3-Flash has 315.7B more parameters than MedGemma 4B IT, making it 7341.9% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
Google
MedGemma 4B IT
4.3Bparameters
320.0B
GLM-5.3-Flash
4.3B
MedGemma 4B IT

Context Window

Maximum input and output token capacity

Only GLM-5.3-Flash specifies input context (1,000,000 tokens). Only GLM-5.3-Flash specifies output context (131,072 tokens).

Zhipu AI
GLM-5.3-Flash
Input1,000,000 tokens
Output131,072 tokens
Google
MedGemma 4B IT
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-5.3-Flash and MedGemma 4B IT support multimodal inputs.

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

GLM-5.3-Flash

Text
Images
Audio
Video

MedGemma 4B IT

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-Flash 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-5.3-Flash

MIT

Open weights

MedGemma 4B IT

Health AI Developer Foundations terms of use

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while MedGemma 4B IT was released on 2025-05-20.

GLM-5.3-Flash is 15 months newer than MedGemma 4B IT.

GLM-5.3-Flash

Aug 26, 2026

0 days ago

1.3yr newer
MedGemma 4B IT

May 20, 2025

1.3 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→

Judge for yourself.

Run your own prompts against GLM-5.3-Flash and MedGemma 4B IT side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
MedGemma 4B IT
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs MedGemma 4B IT.

Which is better, GLM-5.3-Flash or MedGemma 4B IT?

GLM-5.3-Flash (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-5.3-Flash compare to MedGemma 4B IT in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, MVBench: 77.8%. 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-5.3-Flash and MedGemma 4B IT?

GLM-5.3-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 GLM-5.3-Flash and MedGemma 4B IT?

Key differences include licensing (MIT vs Health AI Developer Foundations terms of use). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and MedGemma 4B IT?

GLM-5.3-Flash is developed by Zhipu AI and MedGemma 4B IT is developed by Google.

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