Model Comparison

DiffusionGemma 26B-A4B vs LongCat-Flash-ChatWhich is better in 2026?

LongCat-Flash-Chat significantly outperforms across most benchmarks.

Verdict: DiffusionGemma 26B-A4B vs LongCat-Flash-Chat — which is better?

DiffusionGemma 26B-A4B (by Google) and LongCat-Flash-Chat (by Meituan) 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.

DiffusionGemma 26B-A4B outperforms in 0 benchmarks, while LongCat-Flash-Chat is better at 2 benchmarks (GPQA, MMLU-Pro). LongCat-Flash-Chat significantly outperforms across most benchmarks.

Choose DiffusionGemma 26B-A4B if…

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

Choose LongCat-Flash-Chat if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DiffusionGemma 26B-A4B outperforms in 0 benchmarks, while LongCat-Flash-Chat is better at 2 benchmarks (GPQA, MMLU-Pro).

LongCat-Flash-Chat significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

534.8B diff

LongCat-Flash-Chat has 534.8B more parameters than DiffusionGemma 26B-A4B, making it 2122.2% larger.

Google
DiffusionGemma 26B-A4B
25.2Bparameters
Meituan
LongCat-Flash-Chat
560.0Bparameters
25.2B
DiffusionGemma 26B-A4B
560.0B
LongCat-Flash-Chat

Context Window

Maximum input and output token capacity

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

Google
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DiffusionGemma 26B-A4B supports multimodal inputs, whereas LongCat-Flash-Chat does not.

DiffusionGemma 26B-A4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

LongCat-Flash-Chat

Text
Images
Audio
Video

License

Usage and distribution terms

DiffusionGemma 26B-A4B is licensed under Apache 2.0, while LongCat-Flash-Chat uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

LongCat-Flash-Chat

MIT

Open weights

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while LongCat-Flash-Chat was released on 2025-08-29.

DiffusionGemma 26B-A4B is 10 months newer than LongCat-Flash-Chat.

DiffusionGemma 26B-A4B

Jun 10, 2026

1 months ago

9mo newer
LongCat-Flash-Chat

Aug 29, 2025

11 months ago

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while LongCat-Flash-Chat's cutoff date is not specified.

We can confirm DiffusionGemma 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without LongCat-Flash-Chat's cutoff date.

DiffusionGemma 26B-A4B

Jan 2025

LongCat-Flash-Chat

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Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
Meituan
Larger context window (128,000 tokens)
Higher GPQA score (73.2% vs 73.2%)
Higher MMLU-Pro score (82.7% vs 77.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DiffusionGemma 26B-A4B and LongCat-Flash-Chat side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
LongCat-Flash-Chat
Open in Playground
AI Model Comparison Table
Feature
Google
DiffusionGemma 26B-A4B
Meituan
LongCat-Flash-Chat

FAQ

Common questions about DiffusionGemma 26B-A4B vs LongCat-Flash-Chat.

Which is better, DiffusionGemma 26B-A4B or LongCat-Flash-Chat?

LongCat-Flash-Chat significantly outperforms across most benchmarks. DiffusionGemma 26B-A4B is made by Google and LongCat-Flash-Chat is made by Meituan. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DiffusionGemma 26B-A4B compare to LongCat-Flash-Chat in benchmarks?

DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%. LongCat-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%.

What are the context window sizes for DiffusionGemma 26B-A4B and LongCat-Flash-Chat?

DiffusionGemma 26B-A4B supports an unknown number of tokens and LongCat-Flash-Chat supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DiffusionGemma 26B-A4B and LongCat-Flash-Chat?

Key differences include multimodal support (yes vs no), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DiffusionGemma 26B-A4B and LongCat-Flash-Chat?

DiffusionGemma 26B-A4B is developed by Google and LongCat-Flash-Chat is developed by Meituan.

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