MiMo-V2.5-Pro vs Particle-1
Particle-1 leads the LLM Stats Score 31.9 to 25.1. Particle-1 is 1.2x cheaper per token.
Xiaomi · Particle AI · Updated for 2026
Which is better?
Particle-1 leads the overall LLM Stats Score 31.9 to 25.1, ranking #133 overall.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Particle-1 is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiMo-V2.5-Pro
- you need open weights you can self-host or fine-tune
Choose Particle-1
- overall performance matters — it scores 31.9 and ranks #133 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 1.2x cheaper per token
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
31 reported for MiMo-V2.5-Pro · 3 for Particle-1
MiMo-V2.5-Pro outperforms in 1 benchmarks (MMLU), while Particle-1 is better at 1 benchmark (GPQA).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2.5-Pro ($0.43/1M tokens) is 1.7x more expensive than Particle-1 ($0.25/1M tokens).
For output processing, MiMo-V2.5-Pro ($0.87/1M tokens) is 1.1x cheaper than Particle-1 ($1.00/1M tokens).
In conclusion, MiMo-V2.5-Pro is more expensive than Particle-1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Particle-1 supports multimodal inputs, whereas MiMo-V2.5-Pro does not.
Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2.5-Pro
Particle-1
License
Usage and distribution terms
MiMo-V2.5-Pro is licensed under MIT, while Particle-1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiMo-V2.5-Pro was released on 2026-04-27, while Particle-1 was released on 2026-10-28.
Particle-1 is 6 months newer than MiMo-V2.5-Pro.
Apr 27, 2026
6 months ago
Oct 28, 2026
-1 days ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita. Particle-1 is available from Particle AI.
MiMo-V2.5-Pro
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.5-Pro and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.5-Pro vs Particle-1.