Model Comparison

LongCat-Flash-Thinking-2601 vs MedGemma 4B IT

Comparing LongCat-Flash-Thinking-2601 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-2601 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-2601 has 555.7B more parameters than MedGemma 4B IT, making it 12923.3% larger.

Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
Google
MedGemma 4B IT
4.3Bparameters
560.0B
LongCat-Flash-Thinking-2601
4.3B
MedGemma 4B IT

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Thinking-2601 specifies input context (128,000 tokens). Only LongCat-Flash-Thinking-2601 specifies output context (128,000 tokens).

Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Google
MedGemma 4B IT
Input- tokens
Output- tokens
Thu May 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

MedGemma 4B IT supports multimodal inputs, whereas LongCat-Flash-Thinking-2601 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-2601

Text
Images
Audio
Video

MedGemma 4B IT

Text
Images
Audio
Video

License

Usage and distribution terms

LongCat-Flash-Thinking-2601 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-2601

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-2601 was released on 2026-01-14, while MedGemma 4B IT was released on 2025-05-20.

LongCat-Flash-Thinking-2601 is 8 months newer than MedGemma 4B IT.

LongCat-Flash-Thinking-2601

Jan 14, 2026

4 months ago

7mo 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-2601
Google
MedGemma 4B IT

FAQ

Common questions about LongCat-Flash-Thinking-2601 vs MedGemma 4B IT.

Which is better, LongCat-Flash-Thinking-2601 or MedGemma 4B IT?

LongCat-Flash-Thinking-2601 (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-2601 compare to MedGemma 4B IT in benchmarks?

LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%. 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-2601 and MedGemma 4B IT?

LongCat-Flash-Thinking-2601 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-2601 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-2601 and MedGemma 4B IT?

LongCat-Flash-Thinking-2601 is developed by Meituan and MedGemma 4B IT is developed by Google.