Model Comparison
Gemini 3 Pro vs MiMo-V2-ProWhich is better in 2026?
MiMo-V2-Pro significantly outperforms across most benchmarks. MiMo-V2-Pro is 3.0x cheaper per token.
Verdict: Gemini 3 Pro vs MiMo-V2-Pro — which is better?
Gemini 3 Pro (by Google) and MiMo-V2-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 Pro outperforms in 0 benchmarks, while MiMo-V2-Pro is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0). MiMo-V2-Pro significantly outperforms across most benchmarks.
On price, MiMo-V2-Pro is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 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 Pro if…
- you process long inputs — it offers a 1,048,576 token context window
Choose MiMo-V2-Pro if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 3.0x cheaper per token
- you want the most recent training data — it shipped Mar 2026
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Pro outperforms in 0 benchmarks, while MiMo-V2-Pro is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.0).
MiMo-V2-Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Pro ($2.00/1M tokens) is 2.0x more expensive than MiMo-V2-Pro ($1.00/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 4.0x more expensive than MiMo-V2-Pro ($3.00/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than MiMo-V2-Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3 Pro accepts 1,048,576 input tokens compared to MiMo-V2-Pro's 1,000,000 tokens. Gemini 3 Pro can generate longer responses up to 65,536 tokens, while MiMo-V2-Pro is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3 Pro supports multimodal inputs, whereas MiMo-V2-Pro does not.
Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3 Pro
MiMo-V2-Pro
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 3 Pro was released on 2025-11-18, while MiMo-V2-Pro was released on 2026-03-18.
MiMo-V2-Pro is 4 months newer than Gemini 3 Pro.
Nov 18, 2025
7 months ago
Mar 18, 2026
3 months ago
4mo newerKnowledge Cutoff
When training data ends
Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while MiMo-V2-Pro's cutoff date is not specified.
We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without MiMo-V2-Pro's cutoff date.
Jan 2025
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Provider Availability
Gemini 3 Pro is available from Google. MiMo-V2-Pro is available from Xiaomi.
Gemini 3 Pro
MiMo-V2-Pro
Outputs Comparison
Key Takeaways
Gemini 3 Pro
View detailsMiMo-V2-Pro
View detailsXiaomi
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3 Pro and MiMo-V2-Pro side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3 Pro vs MiMo-V2-Pro.