Model Comparison
Gemini 3.1 Pro vs MiMo-V2-FlashWhich is better in 2026?
Gemini 3.1 Pro significantly outperforms across most benchmarks. MiMo-V2-Flash is 37.5x cheaper per token.
Verdict: Gemini 3.1 Pro vs MiMo-V2-Flash — which is better?
Gemini 3.1 Pro (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.
Gemini 3.1 Pro outperforms in 5 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified, Terminal-Bench 2.0), while MiMo-V2-Flash is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.
On price, MiMo-V2-Flash is roughly 37.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3.1 Pro if…
- you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Feb 2026
Choose MiMo-V2-Flash if…
- cost matters — it's about 37.5x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.1 Pro outperforms in 5 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified, Terminal-Bench 2.0), while MiMo-V2-Flash is better at 0 benchmarks.
Gemini 3.1 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 25.0x more expensive than MiMo-V2-Flash ($0.10/1M tokens).
For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 50.0x more expensive than MiMo-V2-Flash ($0.30/1M tokens).
In conclusion, Gemini 3.1 Pro 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 3.1 Pro accepts 1,048,576 input tokens compared to MiMo-V2-Flash's 256,000 tokens. Gemini 3.1 Pro 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 3.1 Pro supports multimodal inputs, whereas MiMo-V2-Flash does not.
Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.1 Pro
MiMo-V2-Flash
License
Usage and distribution terms
Gemini 3.1 Pro 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 3.1 Pro was released on 2026-02-19, while MiMo-V2-Flash was released on 2025-12-16.
Gemini 3.1 Pro is 2 months newer than MiMo-V2-Flash.
Feb 19, 2026
3 months ago
2mo newerDec 16, 2025
5 months ago
Knowledge Cutoff
When training data ends
Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while MiMo-V2-Flash's cutoff date is not specified.
We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without MiMo-V2-Flash's cutoff date.
Jan 2025
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Provider Availability
Gemini 3.1 Pro is available from Google. MiMo-V2-Flash is available from Xiaomi.
Gemini 3.1 Pro
MiMo-V2-Flash
Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about Gemini 3.1 Pro vs MiMo-V2-Flash.