Model Comparison

DiffusionGemma 26B-A4B vs MiMo-V2.5Which is better in 2026?

MiMo-V2.5 significantly outperforms across most benchmarks.

Verdict: DiffusionGemma 26B-A4B vs MiMo-V2.5 — which is better?

DiffusionGemma 26B-A4B (by Google) and MiMo-V2.5 (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.

DiffusionGemma 26B-A4B outperforms in 0 benchmarks, while MiMo-V2.5 is better at 1 benchmark (MMMU-Pro). MiMo-V2.5 significantly outperforms across most benchmarks.

Choose DiffusionGemma 26B-A4B if…

  • you want the most recent training data — it shipped Jun 2026

Choose MiMo-V2.5 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DiffusionGemma 26B-A4B outperforms in 0 benchmarks, while MiMo-V2.5 is better at 1 benchmark (MMMU-Pro).

MiMo-V2.5 significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

285.6B diff

MiMo-V2.5 has 285.6B more parameters than DiffusionGemma 26B-A4B, making it 1133.2% larger.

Google
DiffusionGemma 26B-A4B
25.2Bparameters
Xiaomi
MiMo-V2.5
310.8Bparameters
25.2B
DiffusionGemma 26B-A4B
310.8B
MiMo-V2.5

Context Window

Maximum input and output token capacity

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

Google
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.5
Input1,048,576 tokens
Output131,072 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DiffusionGemma 26B-A4B and MiMo-V2.5 support multimodal inputs.

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

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

MiMo-V2.5

Text
Images
Audio
Video

License

Usage and distribution terms

DiffusionGemma 26B-A4B is licensed under Apache 2.0, while MiMo-V2.5 uses MIT.

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-V2.5

MIT

Open weights

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while MiMo-V2.5 was released on 2026-04-22.

DiffusionGemma 26B-A4B is 2 months newer than MiMo-V2.5.

DiffusionGemma 26B-A4B

Jun 10, 2026

1 months ago

1mo newer
MiMo-V2.5

Apr 22, 2026

2 months ago

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while MiMo-V2.5'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-V2.5's cutoff date.

DiffusionGemma 26B-A4B

Jan 2025

MiMo-V2.5

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Xiaomi
Larger context window (1,048,576 tokens)
Higher MMMU-Pro score (77.9% vs 54.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DiffusionGemma 26B-A4B and MiMo-V2.5 side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
MiMo-V2.5
Open in Playground
AI Model Comparison Table
Feature
Google
DiffusionGemma 26B-A4B
Xiaomi
MiMo-V2.5

FAQ

Common questions about DiffusionGemma 26B-A4B vs MiMo-V2.5.

Which is better, DiffusionGemma 26B-A4B or MiMo-V2.5?

MiMo-V2.5 significantly outperforms across most benchmarks. DiffusionGemma 26B-A4B is made by Google and MiMo-V2.5 is made by Xiaomi. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DiffusionGemma 26B-A4B compare to MiMo-V2.5 in benchmarks?

DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%. MiMo-V2.5 scores HR-Bench (4k): 88.5%, Video-MME: 87.7%, OmniDocBench: 87.2%, GraphWalks: 87.0%, DailyOmni: 83.5%.

What are the context window sizes for DiffusionGemma 26B-A4B and MiMo-V2.5?

DiffusionGemma 26B-A4B supports an unknown number of tokens and MiMo-V2.5 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-V2.5?

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

Who makes DiffusionGemma 26B-A4B and MiMo-V2.5?

DiffusionGemma 26B-A4B is developed by Google and MiMo-V2.5 is developed by Xiaomi.

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