Model Comparison

Gemma 4 12B vs MiMo-V2.5-ProWhich is better in 2026?

Gemma 4 12B shows notably better performance in the majority of benchmarks.

Verdict: Gemma 4 12B vs MiMo-V2.5-Pro — which is better?

Gemma 4 12B (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 12B outperforms in 3 benchmarks (GPQA, LiveCodeBench v6, MMLU-Pro), while MiMo-V2.5-Pro is better at 1 benchmark (Humanity's Last Exam). Gemma 4 12B shows notably better performance in the majority of benchmarks.

Choose Gemma 4 12B if…

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
  • you want the most recent training data — it shipped May 2026

Choose MiMo-V2.5-Pro if…

  • you want predictable pricing at $0.43/M input and $0.87/M output

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemma 4 12B outperforms in 3 benchmarks (GPQA, LiveCodeBench v6, MMLU-Pro), while MiMo-V2.5-Pro is better at 1 benchmark (Humanity's Last Exam).

Gemma 4 12B 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

1011.3B diff

MiMo-V2.5-Pro has 1011.3B more parameters than Gemma 4 12B, making it 8455.8% larger.

Google
Gemma 4 12B
12.0Bparameters
Xiaomi
MiMo-V2.5-Pro
1.0Tparameters
12.0B
Gemma 4 12B
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 12B
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 12B supports multimodal inputs, whereas MiMo-V2.5-Pro does not.

Gemma 4 12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 4 12B

Text
Images
Audio
Video

MiMo-V2.5-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 12B 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 12B

Apache 2.0

Open weights

MiMo-V2.5-Pro

MIT

Open weights

Release Timeline

When each model was launched

Gemma 4 12B was released on 2026-05-23, while MiMo-V2.5-Pro was released on 2026-04-27.

Gemma 4 12B is 1 month newer than MiMo-V2.5-Pro.

Gemma 4 12B

May 23, 2026

1 months ago

3w newer
MiMo-V2.5-Pro

Apr 27, 2026

2 months ago

Knowledge Cutoff

When training data ends

Gemma 4 12B 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 12B's training data extends to 2025-01-01, but cannot make a direct comparison without MiMo-V2.5-Pro's cutoff date.

Gemma 4 12B

Jan 2025

MiMo-V2.5-Pro

—

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Higher GPQA score (78.8% vs 66.7%)
Higher LiveCodeBench v6 score (72.0% vs 39.6%)
Higher MMLU-Pro score (77.2% vs 68.5%)
Xiaomi
Larger context window (1,048,576 tokens)
Higher Humanity's Last Exam score (34.0% vs 5.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 4 12B and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.

Gemma 4 12B
✓ Preferred
MiMo-V2.5-Pro
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 4 12B
Xiaomi
MiMo-V2.5-Pro

FAQ

Common questions about Gemma 4 12B vs MiMo-V2.5-Pro.

Which is better, Gemma 4 12B or MiMo-V2.5-Pro?

Gemma 4 12B shows notably better performance in the majority of benchmarks. Gemma 4 12B 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 12B compare to MiMo-V2.5-Pro in benchmarks?

Gemma 4 12B scores FLEURS: 93.1%, MMMLU: 83.4%, MathVision: 79.7%, GPQA: 78.8%, AIME 2026: 77.5%. 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 12B and MiMo-V2.5-Pro?

Gemma 4 12B 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 12B 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 12B and MiMo-V2.5-Pro?

Gemma 4 12B is developed by Google and MiMo-V2.5-Pro is developed by Xiaomi.

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