Model Comparison
Gemini 3.5 Flash-Lite vs MiMo-V2.5-ProWhich is better in 2026?
MiMo-V2.5-Pro significantly outperforms across most benchmarks. MiMo-V2.5-Pro is 1.6x cheaper per token.
Verdict: Gemini 3.5 Flash-Lite vs MiMo-V2.5-Pro — which is better?
Gemini 3.5 Flash-Lite (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.
Gemini 3.5 Flash-Lite outperforms in 0 benchmarks, while MiMo-V2.5-Pro is better at 2 benchmarks (GDPval-AA, SWE-Bench Pro). MiMo-V2.5-Pro significantly outperforms across most benchmarks.
On price, MiMo-V2.5-Pro is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose Gemini 3.5 Flash-Lite if…
- you want the most recent training data — it shipped Jul 2026
Choose MiMo-V2.5-Pro if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 1.6x 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 outperforms in 0 benchmarks, while MiMo-V2.5-Pro is better at 2 benchmarks (GDPval-AA, SWE-Bench Pro).
MiMo-V2.5-Pro significantly outperforms across most benchmarks.
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 1.4x cheaper than MiMo-V2.5-Pro ($0.43/1M tokens).
For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 2.9x more expensive than MiMo-V2.5-Pro ($0.87/1M tokens).
In conclusion, Gemini 3.5 Flash-Lite is more expensive than MiMo-V2.5-Pro.*
* 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. MiMo-V2.5-Pro can generate longer responses up to 131,072 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3.5 Flash-Lite supports multimodal inputs, whereas MiMo-V2.5-Pro 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-V2.5-Pro
License
Usage and distribution terms
Gemini 3.5 Flash-Lite is licensed under a proprietary license, while MiMo-V2.5-Pro 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-V2.5-Pro was released on 2026-04-27.
Gemini 3.5 Flash-Lite is 3 months newer than MiMo-V2.5-Pro.
Jul 21, 2026
0 days ago
2mo newerApr 27, 2026
2 months ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while MiMo-V2.5-Pro'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-V2.5-Pro's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.5 Flash-Lite is available from Google. MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita.
Gemini 3.5 Flash-Lite
MiMo-V2.5-Pro
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash-Lite and MiMo-V2.5-Pro 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-V2.5-Pro.