Model Comparison

LongCat-Flash-Thinking vs MedGemma 4B IT

Comparing LongCat-Flash-Thinking and MedGemma 4B IT across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

LongCat-Flash-Thinking and MedGemma 4B IT don'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

555.7B diff

LongCat-Flash-Thinking has 555.7B more parameters than MedGemma 4B IT, making it 12923.3% larger.

Meituan
LongCat-Flash-Thinking
560.0Bparameters
Google
MedGemma 4B IT
4.3Bparameters
560.0B
LongCat-Flash-Thinking
4.3B
MedGemma 4B IT

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Thinking specifies input context (128,000 tokens). Only LongCat-Flash-Thinking specifies output context (128,000 tokens).

Meituan
LongCat-Flash-Thinking
Input128,000 tokens
Output128,000 tokens
Google
MedGemma 4B IT
Input- tokens
Output- tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MedGemma 4B IT supports multimodal inputs, whereas LongCat-Flash-Thinking does not.

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

LongCat-Flash-Thinking

Text
Images
Audio
Video

MedGemma 4B IT

Text
Images
Audio
Video

License

Usage and distribution terms

LongCat-Flash-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.

LongCat-Flash-Thinking

MIT

Open weights

MedGemma 4B IT

Health AI Developer Foundations terms of use

Open weights

Release Timeline

When each model was launched

LongCat-Flash-Thinking was released on 2025-09-22, while MedGemma 4B IT was released on 2025-05-20.

LongCat-Flash-Thinking is 4 months newer than MedGemma 4B IT.

LongCat-Flash-Thinking

Sep 22, 2025

8 months ago

4mo newer
MedGemma 4B IT

May 20, 2025

1.0 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

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Key Takeaways

Meituan
Larger context window (128,000 tokens)
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Meituan
LongCat-Flash-Thinking
Google
MedGemma 4B IT

FAQ

Common questions about LongCat-Flash-Thinking vs MedGemma 4B IT.

Which is better, LongCat-Flash-Thinking or MedGemma 4B IT?

LongCat-Flash-Thinking (Meituan) 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 LongCat-Flash-Thinking compare to MedGemma 4B IT in benchmarks?

LongCat-Flash-Thinking scores MATH-500: 99.2%, ZebraLogic: 95.5%, AIME 2024: 93.3%, AIME 2025: 90.6%, MMLU-Redux: 89.3%. 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 LongCat-Flash-Thinking and MedGemma 4B IT?

LongCat-Flash-Thinking supports 128K 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 LongCat-Flash-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 LongCat-Flash-Thinking and MedGemma 4B IT?

LongCat-Flash-Thinking is developed by Meituan and MedGemma 4B IT is developed by Google.