Model Comparison

Gemma 4 E2B vs MiMo-V2.5-ProWhich is better in 2026?

MiMo-V2.5-Pro shows notably better performance in the majority of benchmarks.

Verdict: Gemma 4 E2B vs MiMo-V2.5-Pro — which is better?

Gemma 4 E2B (by Google) and MiMo-V2.5-Pro (by Xiaomi) 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 1 benchmarks (LiveCodeBench v6), while MiMo-V2.5-Pro is better at 2 benchmarks (GPQA, MMLU-Pro). MiMo-V2.5-Pro shows notably better performance in the majority of benchmarks.

Choose Gemma 4 E2B if…

  • you are already invested in the Google ecosystem

Choose MiMo-V2.5-Pro if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • you want the most recent training data — it shipped Apr 2026

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 4 E2B outperforms in 1 benchmarks (LiveCodeBench v6), while MiMo-V2.5-Pro is better at 2 benchmarks (GPQA, MMLU-Pro).

MiMo-V2.5-Pro shows notably better performance in the majority of benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

1018.1B diff

MiMo-V2.5-Pro has 1018.1B more parameters than Gemma 4 E2B, making it 19963.6% larger.

Google
Gemma 4 E2B
5.1Bparameters
Xiaomi
MiMo-V2.5-Pro
1.0Tparameters
5.1B
Gemma 4 E2B
1023.2B
MiMo-V2.5-Pro

Context Window

Maximum input and output token capacity

Only MiMo-V2.5-Pro specifies input context (1,048,576 tokens). Only MiMo-V2.5-Pro specifies output context (131,072 tokens).

Google
Gemma 4 E2B
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.5-Pro
Input1,048,576 tokens
Output131,072 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 4 E2B supports multimodal inputs, whereas MiMo-V2.5-Pro 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

MiMo-V2.5-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 E2B is licensed under Apache 2.0, while MiMo-V2.5-Pro uses MIT.

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

Gemma 4 E2B

Apache 2.0

Open weights

MiMo-V2.5-Pro

MIT

Open weights

Release Timeline

When each model was launched

Gemma 4 E2B was released on 2026-04-02, while MiMo-V2.5-Pro was released on 2026-04-27.

MiMo-V2.5-Pro is 1 month newer than Gemma 4 E2B.

Gemma 4 E2B

Apr 2, 2026

3 months ago

MiMo-V2.5-Pro

Apr 27, 2026

2 months ago

3w newer

Knowledge Cutoff

When training data ends

Gemma 4 E2B has a documented knowledge cutoff of 2025-01-01, while MiMo-V2.5-Pro'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 MiMo-V2.5-Pro's cutoff date.

Gemma 4 E2B

Jan 2025

MiMo-V2.5-Pro

—

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Higher LiveCodeBench v6 score (44.0% vs 39.6%)
Xiaomi
Larger context window (1,048,576 tokens)
Higher GPQA score (66.7% vs 43.4%)
Higher MMLU-Pro score (68.5% vs 60.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 4 E2B and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.

Gemma 4 E2B
✓ Preferred
MiMo-V2.5-Pro
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 4 E2B
Xiaomi
MiMo-V2.5-Pro

FAQ

Common questions about Gemma 4 E2B vs MiMo-V2.5-Pro.

Which is better, Gemma 4 E2B or MiMo-V2.5-Pro?

MiMo-V2.5-Pro shows notably better performance in the majority of benchmarks. Gemma 4 E2B is made by Google and MiMo-V2.5-Pro is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 4 E2B compare to MiMo-V2.5-Pro in benchmarks?

Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%. MiMo-V2.5-Pro scores FrontierSWE (Impl.): 100.0%, GSM8k: 99.6%, ARC-C: 97.2%, MMLU-Redux: 92.8%, C-Eval: 91.5%.

What are the context window sizes for Gemma 4 E2B and MiMo-V2.5-Pro?

Gemma 4 E2B supports an unknown number of tokens and MiMo-V2.5-Pro supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 4 E2B and MiMo-V2.5-Pro?

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 Gemma 4 E2B and MiMo-V2.5-Pro?

Gemma 4 E2B is developed by Google and MiMo-V2.5-Pro is developed by Xiaomi.

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