Model Comparison

Gemma 4 E2B vs MiMo-V2-OmniWhich is better in 2026?

Comparing Gemma 4 E2B and MiMo-V2-Omni across benchmarks, pricing, and capabilities.

Verdict: Gemma 4 E2B vs MiMo-V2-Omni — which is better?

Gemma 4 E2B (by Google) and MiMo-V2-Omni (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.

Choose Gemma 4 E2B if…

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

Choose MiMo-V2-Omni if…

  • you want predictable pricing at $0.40/M input and $2.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 4 E2B and MiMo-V2-Omnidon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only MiMo-V2-Omni specifies input context (262,000 tokens). Only MiMo-V2-Omni specifies output context (16,384 tokens).

Google
Gemma 4 E2B
Input- tokens
Output- tokens
Xiaomi
MiMo-V2-Omni
Input262,000 tokens
Output16,384 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 4 E2B and MiMo-V2-Omni support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 4 E2B

Text
Images
Audio
Video

MiMo-V2-Omni

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 E2B is licensed under Apache 2.0, while MiMo-V2-Omni 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

MiMo-V2-Omni

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 4 E2B was released on 2026-04-02, while MiMo-V2-Omni was released on 2026-03-18.

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

Gemma 4 E2B

Apr 2, 2026

3 months ago

2w newer
MiMo-V2-Omni

Mar 18, 2026

4 months ago

Knowledge Cutoff

When training data ends

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

Gemma 4 E2B

Jan 2025

MiMo-V2-Omni

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Has open weights
Larger context window (262,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

Common questions about Gemma 4 E2B vs MiMo-V2-Omni.

Which is better, Gemma 4 E2B or MiMo-V2-Omni?

Gemma 4 E2B (Google) and MiMo-V2-Omni (Xiaomi) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 4 E2B compare to MiMo-V2-Omni 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-Omni scores PinchBench: 81.2%, SWE-Bench Verified: 74.8%, Claw-Eval: 54.8%, MM-BrowserComp: 52.0%, OmniGAIA: 49.8%.

What are the context window sizes for Gemma 4 E2B and MiMo-V2-Omni?

Gemma 4 E2B supports an unknown number of tokens and MiMo-V2-Omni supports 262K 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-Omni?

Key differences include licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E2B and MiMo-V2-Omni?

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