Model Comparison

DiffusionGemma 26B-A4B vs MAI-Code-1-FlashWhich is better in 2026?

MAI-Code-1-Flash significantly outperforms across most benchmarks.

Verdict: DiffusionGemma 26B-A4B vs MAI-Code-1-Flash — which is better?

DiffusionGemma 26B-A4B (by Google) and MAI-Code-1-Flash (by Microsoft) 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 MAI-Code-1-Flash is better at 3 benchmarks (AIME 2026, GPQA, Humanity's Last Exam). MAI-Code-1-Flash significantly outperforms across most benchmarks.

Choose DiffusionGemma 26B-A4B if…

  • you want the most recent training data — it shipped Jun 2026
  • you need open weights you can self-host or fine-tune

Choose MAI-Code-1-Flash if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DiffusionGemma 26B-A4B outperforms in 0 benchmarks, while MAI-Code-1-Flash is better at 3 benchmarks (AIME 2026, GPQA, Humanity's Last Exam).

MAI-Code-1-Flash significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Input Capabilities

Supported data types and modalities

DiffusionGemma 26B-A4B supports multimodal inputs, whereas MAI-Code-1-Flash 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

MAI-Code-1-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DiffusionGemma 26B-A4B is licensed under Apache 2.0, while MAI-Code-1-Flash uses a proprietary license.

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

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

MAI-Code-1-Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while MAI-Code-1-Flash was released on 2026-06-02.

DiffusionGemma 26B-A4B is 0 month newer than MAI-Code-1-Flash.

DiffusionGemma 26B-A4B

Jun 10, 2026

1 months ago

1w newer
MAI-Code-1-Flash

Jun 2, 2026

1 months ago

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while MAI-Code-1-Flash'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 MAI-Code-1-Flash's cutoff date.

DiffusionGemma 26B-A4B

Jan 2025

MAI-Code-1-Flash

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Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Has open weights
Microsoft
Higher AIME 2026 score (92.5% vs 69.1%)
Higher GPQA score (84.6% vs 73.2%)
Higher Humanity's Last Exam score (18.0% vs 11.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DiffusionGemma 26B-A4B and MAI-Code-1-Flash side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
MAI-Code-1-Flash
Open in Playground
AI Model Comparison Table
Feature
Google
DiffusionGemma 26B-A4B
Microsoft
MAI-Code-1-Flash

FAQ

Common questions about DiffusionGemma 26B-A4B vs MAI-Code-1-Flash.

Which is better, DiffusionGemma 26B-A4B or MAI-Code-1-Flash?

MAI-Code-1-Flash significantly outperforms across most benchmarks. DiffusionGemma 26B-A4B is made by Google and MAI-Code-1-Flash is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DiffusionGemma 26B-A4B compare to MAI-Code-1-Flash in benchmarks?

DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%. MAI-Code-1-Flash scores AIME 2026: 92.5%, GPQA: 84.6%, IFBench: 75.0%, Tau2 Telecom: 71.7%, SWE-Bench Verified: 71.6%.

What are the main differences between DiffusionGemma 26B-A4B and MAI-Code-1-Flash?

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

Who makes DiffusionGemma 26B-A4B and MAI-Code-1-Flash?

DiffusionGemma 26B-A4B is developed by Google and MAI-Code-1-Flash is developed by Microsoft.

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