Model Comparison

DiffusionGemma 26B-A4B vs MiMo-V2-ProWhich is better in 2026?

Comparing DiffusionGemma 26B-A4B and MiMo-V2-Pro across benchmarks, pricing, and capabilities.

Verdict: DiffusionGemma 26B-A4B vs MiMo-V2-Pro — which is better?

DiffusionGemma 26B-A4B (by Google) and MiMo-V2-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.

Choose DiffusionGemma 26B-A4B if…

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

Choose MiMo-V2-Pro if…

  • you want predictable pricing at $1.00/M input and $3.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DiffusionGemma 26B-A4B and MiMo-V2-Prodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

974.8B diff

MiMo-V2-Pro has 974.8B more parameters than DiffusionGemma 26B-A4B, making it 3868.3% larger.

Google
DiffusionGemma 26B-A4B
25.2Bparameters
Xiaomi
MiMo-V2-Pro
1.0Tparameters
25.2B
DiffusionGemma 26B-A4B
1000.0B
MiMo-V2-Pro

Context Window

Maximum input and output token capacity

Only MiMo-V2-Pro specifies input context (1,000,000 tokens). Only MiMo-V2-Pro specifies output context (16,384 tokens).

Google
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
Xiaomi
MiMo-V2-Pro
Input1,000,000 tokens
Output16,384 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DiffusionGemma 26B-A4B supports multimodal inputs, whereas MiMo-V2-Pro does not.

DiffusionGemma 26B-A4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

MiMo-V2-Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DiffusionGemma 26B-A4B is licensed under Apache 2.0, while MiMo-V2-Pro uses a proprietary license.

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

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

MiMo-V2-Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while MiMo-V2-Pro was released on 2026-03-18.

DiffusionGemma 26B-A4B is 3 months newer than MiMo-V2-Pro.

DiffusionGemma 26B-A4B

Jun 10, 2026

1 months ago

2mo newer
MiMo-V2-Pro

Mar 18, 2026

4 months ago

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while MiMo-V2-Pro's cutoff date is not specified.

We can confirm DiffusionGemma 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without MiMo-V2-Pro's cutoff date.

DiffusionGemma 26B-A4B

Jan 2025

MiMo-V2-Pro

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
Has open weights
Xiaomi
Larger context window (1,000,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DiffusionGemma 26B-A4B and MiMo-V2-Pro side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
MiMo-V2-Pro
Open in Playground
AI Model Comparison Table
Feature
Google
DiffusionGemma 26B-A4B
Xiaomi
MiMo-V2-Pro

FAQ

Common questions about DiffusionGemma 26B-A4B vs MiMo-V2-Pro.

Which is better, DiffusionGemma 26B-A4B or MiMo-V2-Pro?

DiffusionGemma 26B-A4B (Google) and MiMo-V2-Pro (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 DiffusionGemma 26B-A4B compare to MiMo-V2-Pro in benchmarks?

DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%. MiMo-V2-Pro scores Tau2 Telecom: 96.8%, DeepSearchQA: 86.7%, PinchBench: 81.0%, SWE-Bench Verified: 78.0%, SWE-bench Multilingual: 71.7%.

What are the context window sizes for DiffusionGemma 26B-A4B and MiMo-V2-Pro?

DiffusionGemma 26B-A4B supports an unknown number of tokens and MiMo-V2-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 DiffusionGemma 26B-A4B and MiMo-V2-Pro?

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 DiffusionGemma 26B-A4B and MiMo-V2-Pro?

DiffusionGemma 26B-A4B is developed by Google and MiMo-V2-Pro is developed by Xiaomi.

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