Model Comparison

Gemma 3n E2B vs Kimi K2 BaseWhich is better in 2026?

Kimi K2 Base significantly outperforms across most benchmarks.

Verdict: Gemma 3n E2B vs Kimi K2 Base — which is better?

Gemma 3n E2B (by Google) and Kimi K2 Base (by Moonshot AI) 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 3n E2B outperforms in 0 benchmarks, while Kimi K2 Base is better at 1 benchmark (TriviaQA). Kimi K2 Base significantly outperforms across most benchmarks.

Choose Gemma 3n E2B if…

  • you are already invested in the Google ecosystem

Choose Kimi K2 Base if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3n E2B outperforms in 0 benchmarks, while Kimi K2 Base is better at 1 benchmark (TriviaQA).

Kimi K2 Base significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

992.0B diff

Kimi K2 Base has 992.0B more parameters than Gemma 3n E2B, making it 12400.0% larger.

Google
Gemma 3n E2B
8.0Bparameters
Moonshot AI
Kimi K2 Base
1.0Tparameters
8.0B
Gemma 3n E2B
1000.0B
Kimi K2 Base

Input Capabilities

Supported data types and modalities

Gemma 3n E2B supports multimodal inputs, whereas Kimi K2 Base does not.

Gemma 3n E2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E2B

Text
Images
Audio
Video

Kimi K2 Base

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Kimi K2 Base uses MIT.

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

Gemma 3n E2B

Proprietary

Closed source

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Kimi K2 Base was released on 2025-07-11.

Kimi K2 Base is 1 month newer than Gemma 3n E2B.

Gemma 3n E2B

Jun 26, 2025

1.1 years ago

Kimi K2 Base

Jul 11, 2025

1.0 years ago

2w newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a documented knowledge cutoff of 2024-06-01, while Kimi K2 Base's cutoff date is not specified.

We can confirm Gemma 3n E2B's training data extends to 2024-06-01, but cannot make a direct comparison without Kimi K2 Base's cutoff date.

Gemma 3n E2B

Jun 2024

Kimi K2 Base

—

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Moonshot AI
Has open weights
Higher TriviaQA score (85.1% vs 60.8%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3n E2B and Kimi K2 Base side-by-side, then vote on the output you prefer.

Gemma 3n E2B
✓ Preferred
Kimi K2 Base
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E2B
Moonshot AI
Kimi K2 Base

FAQ

Common questions about Gemma 3n E2B vs Kimi K2 Base.

Which is better, Gemma 3n E2B or Kimi K2 Base?

Kimi K2 Base significantly outperforms across most benchmarks. Gemma 3n E2B is made by Google and Kimi K2 Base is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3n E2B compare to Kimi K2 Base in benchmarks?

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%.

What are the main differences between Gemma 3n E2B and Kimi K2 Base?

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

Who makes Gemma 3n E2B and Kimi K2 Base?

Gemma 3n E2B is developed by Google and Kimi K2 Base is developed by Moonshot AI.

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