MiMo-V2.5 vs Particle-1
MiMo-V2.5 and Particle-1 are closely matched at 35.8 and 32.0 on the LLM Stats Score. MiMo-V2.5 is 2.1x cheaper per token.
Xiaomi · Particle AI · Updated for 2026
Which is better?
MiMo-V2.5 and Particle-1 are closely matched on the overall LLM Stats Score at 35.8 and 32.0.
On price, MiMo-V2.5 is roughly 2.1x 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
- cost matters — it's about 2.1x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Particle-1
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
14 reported for MiMo-V2.5 · 3 for Particle-1
MiMo-V2.5 and Particle-1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2.5 ($0.17/1M tokens) is 1.5x cheaper than Particle-1 ($0.25/1M tokens).
For output processing, MiMo-V2.5 ($0.34/1M tokens) is 3.0x cheaper than Particle-1 ($1.00/1M tokens).
In conclusion, Particle-1 is more expensive than MiMo-V2.5.*
* 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
Both MiMo-V2.5 and Particle-1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiMo-V2.5
Particle-1
License
Usage and distribution terms
MiMo-V2.5 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 was released on 2026-04-22, while Particle-1 was released on 2026-10-28.
Particle-1 is 6 months newer than MiMo-V2.5.
Apr 22, 2026
6 months ago
Oct 28, 2026
1 weeks 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 is available from Novita, DeepInfra. Particle-1 is available from Particle AI.
MiMo-V2.5
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.5 and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.5 vs Particle-1.