Model Comparison

Gemma 4 E2B vs MAI-Code-1-FlashWhich is better in 2026?

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

Verdict: Gemma 4 E2B vs MAI-Code-1-Flash — which is better?

Gemma 4 E2B (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.

Gemma 4 E2B outperforms in 0 benchmarks, while MAI-Code-1-Flash is better at 2 benchmarks (AIME 2026, GPQA). MAI-Code-1-Flash significantly outperforms across most benchmarks.

Choose Gemma 4 E2B if…

  • 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 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jun 2026

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 4 E2B outperforms in 0 benchmarks, while MAI-Code-1-Flash is better at 2 benchmarks (AIME 2026, GPQA).

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

Gemma 4 E2B supports multimodal inputs, whereas MAI-Code-1-Flash does not.

Gemma 4 E2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 4 E2B

Text
Images
Audio
Video

MAI-Code-1-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 E2B 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.

Gemma 4 E2B

Apache 2.0

Open weights

MAI-Code-1-Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 4 E2B was released on 2026-04-02, while MAI-Code-1-Flash was released on 2026-06-02.

MAI-Code-1-Flash is 2 months newer than Gemma 4 E2B.

Gemma 4 E2B

Apr 2, 2026

3 months ago

MAI-Code-1-Flash

Jun 2, 2026

1 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemma 4 E2B has a documented knowledge cutoff of 2025-01-01, while MAI-Code-1-Flash's cutoff date is not specified.

We can confirm Gemma 4 E2B's training data extends to 2025-01-01, but cannot make a direct comparison without MAI-Code-1-Flash's cutoff date.

Gemma 4 E2B

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 37.5%)
Higher GPQA score (84.6% vs 43.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 4 E2B and MAI-Code-1-Flash side-by-side, then vote on the output you prefer.

Gemma 4 E2B
✓ Preferred
MAI-Code-1-Flash
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 4 E2B
Microsoft
MAI-Code-1-Flash

FAQ

Common questions about Gemma 4 E2B vs MAI-Code-1-Flash.

Which is better, Gemma 4 E2B or MAI-Code-1-Flash?

MAI-Code-1-Flash significantly outperforms across most benchmarks. Gemma 4 E2B 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 Gemma 4 E2B compare to MAI-Code-1-Flash in benchmarks?

Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%. 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 Gemma 4 E2B 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 Gemma 4 E2B and MAI-Code-1-Flash?

Gemma 4 E2B is developed by Google and MAI-Code-1-Flash is developed by Microsoft.

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