Model Comparison
Gemini 3.5 Flash-Lite vs MiMo-V2-FlashWhich is better in 2026?
Comparing Gemini 3.5 Flash-Lite and MiMo-V2-Flash across benchmarks, pricing, and capabilities.
Verdict: Gemini 3.5 Flash-Lite vs MiMo-V2-Flash — which is better?
Gemini 3.5 Flash-Lite (by Google) and MiMo-V2-Flash (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.
On price, MiMo-V2-Flash is roughly 5.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3.5 Flash-Lite if…
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Choose MiMo-V2-Flash if…
- cost matters — it's about 5.7x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.5 Flash-Lite and MiMo-V2-Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 3.0x more expensive than MiMo-V2-Flash ($0.10/1M tokens).
For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 8.3x more expensive than MiMo-V2-Flash ($0.30/1M tokens).
In conclusion, Gemini 3.5 Flash-Lite 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
Gemini 3.5 Flash-Lite accepts 1,048,576 input tokens compared to MiMo-V2-Flash's 256,000 tokens. Gemini 3.5 Flash-Lite can generate longer responses up to 65,536 tokens, while MiMo-V2-Flash is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3.5 Flash-Lite supports multimodal inputs, whereas MiMo-V2-Flash does not.
Gemini 3.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.5 Flash-Lite
MiMo-V2-Flash
License
Usage and distribution terms
Gemini 3.5 Flash-Lite is licensed under a proprietary license, while MiMo-V2-Flash uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini 3.5 Flash-Lite was released on 2026-07-21, while MiMo-V2-Flash was released on 2025-12-16.
Gemini 3.5 Flash-Lite is 7 months newer than MiMo-V2-Flash.
Jul 21, 2026
1 days ago
7mo newerDec 16, 2025
7 months ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while MiMo-V2-Flash's cutoff date is not specified.
We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without MiMo-V2-Flash's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.5 Flash-Lite is available from Google. MiMo-V2-Flash is available from Xiaomi.
Gemini 3.5 Flash-Lite
MiMo-V2-Flash
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash-Lite and MiMo-V2-Flash side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3.5 Flash-Lite vs MiMo-V2-Flash.