MiMo-V2-Flash vs Particle-1
MiMo-V2-Flash and Particle-1 are closely matched at 30.1 and 32.0 on the LLM Stats Score. MiMo-V2-Flash is 2.9x cheaper per token.
Xiaomi · Particle AI · Updated for 2026
Which is better?
MiMo-V2-Flash and Particle-1 are closely matched on the overall LLM Stats Score at 30.1 and 32.0.
In the 1 individual benchmarks reported for both models, Particle-1 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2-Flash is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Particle-1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiMo-V2-Flash
- cost matters — it's about 2.9x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Particle-1
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
15 reported for MiMo-V2-Flash · 3 for Particle-1
MiMo-V2-Flash outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (GPQA).
Particle-1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2-Flash ($0.10/1M tokens) is 2.5x cheaper than Particle-1 ($0.25/1M tokens).
For output processing, MiMo-V2-Flash ($0.30/1M tokens) is 3.3x cheaper than Particle-1 ($1.00/1M tokens).
In conclusion, Particle-1 is more expensive than MiMo-V2-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Particle-1 accepts 1,048,576 input tokens compared to MiMo-V2-Flash's 256,000 tokens. Particle-1 can generate longer responses up to 131,072 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
Particle-1 supports multimodal inputs, whereas MiMo-V2-Flash does not.
Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2-Flash
Particle-1
License
Usage and distribution terms
MiMo-V2-Flash 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-Flash was released on 2025-12-16, while Particle-1 was released on 2026-10-28.
Particle-1 is 11 months newer than MiMo-V2-Flash.
Dec 16, 2025
10 months ago
Oct 28, 2026
1 weeks ago
10mo 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-Flash is available from Xiaomi. Particle-1 is available from Particle AI.
MiMo-V2-Flash
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2-Flash and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2-Flash vs Particle-1.