Model Comparison
DiffusionGemma 26B-A4B vs MiMo-V2.5-ProWhich is better in 2026?
DiffusionGemma 26B-A4B shows notably better performance in the majority of benchmarks.
Verdict: DiffusionGemma 26B-A4B vs MiMo-V2.5-Pro — which is better?
DiffusionGemma 26B-A4B (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.
DiffusionGemma 26B-A4B outperforms in 3 benchmarks (GPQA, LiveCodeBench v6, MMLU-Pro), while MiMo-V2.5-Pro is better at 1 benchmark (Humanity's Last Exam). DiffusionGemma 26B-A4B shows notably better performance in the majority of benchmarks.
Choose DiffusionGemma 26B-A4B if…
- you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
- you want the most recent training data — it shipped Jun 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
DiffusionGemma 26B-A4B outperforms in 3 benchmarks (GPQA, LiveCodeBench v6, MMLU-Pro), while MiMo-V2.5-Pro is better at 1 benchmark (Humanity's Last Exam).
DiffusionGemma 26B-A4B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
MiMo-V2.5-Pro has 998.0B more parameters than DiffusionGemma 26B-A4B, making it 3960.5% larger.
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).
Input Capabilities
Supported data types and modalities
DiffusionGemma 26B-A4B supports multimodal inputs, whereas MiMo-V2.5-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
MiMo-V2.5-Pro
License
Usage and distribution terms
DiffusionGemma 26B-A4B 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.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DiffusionGemma 26B-A4B was released on 2026-06-10, while MiMo-V2.5-Pro was released on 2026-04-27.
DiffusionGemma 26B-A4B is 1 month newer than MiMo-V2.5-Pro.
Jun 10, 2026
1 months ago
1mo newerApr 27, 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-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-V2.5-Pro's cutoff date.
Jan 2025
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Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DiffusionGemma 26B-A4B and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DiffusionGemma 26B-A4B vs MiMo-V2.5-Pro.