Model Comparison
Gemini 3.5 Flash vs MiMo-V2-OmniWhich is better in 2026?
MiMo-V2-Omni significantly outperforms across most benchmarks. MiMo-V2-Omni is 4.2x cheaper per token.
Verdict: Gemini 3.5 Flash vs MiMo-V2-Omni — which is better?
Gemini 3.5 Flash (by Google) and MiMo-V2-Omni (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 outperforms in 0 benchmarks, while MiMo-V2-Omni is better at 1 benchmark (GDPval-AA). MiMo-V2-Omni significantly outperforms across most benchmarks.
On price, MiMo-V2-Omni is roughly 4.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.5 Flash 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 if…
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped May 2026
Choose MiMo-V2-Omni if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 4.2x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.5 Flash outperforms in 0 benchmarks, while MiMo-V2-Omni is better at 1 benchmark (GDPval-AA).
MiMo-V2-Omni significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.5 Flash ($1.50/1M tokens) is 3.8x more expensive than MiMo-V2-Omni ($0.40/1M tokens).
For output processing, Gemini 3.5 Flash ($9.00/1M tokens) is 4.5x more expensive than MiMo-V2-Omni ($2.00/1M tokens).
In conclusion, Gemini 3.5 Flash is more expensive than MiMo-V2-Omni.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.5 Flash accepts 1,048,576 input tokens compared to MiMo-V2-Omni's 262,000 tokens. Gemini 3.5 Flash can generate longer responses up to 65,536 tokens, while MiMo-V2-Omni is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.5 Flash and MiMo-V2-Omni support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.5 Flash
MiMo-V2-Omni
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 3.5 Flash was released on 2026-05-19, while MiMo-V2-Omni was released on 2026-03-18.
Gemini 3.5 Flash is 2 months newer than MiMo-V2-Omni.
May 19, 2026
1 months ago
2mo newerMar 18, 2026
4 months ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash has a documented knowledge cutoff of 2026-01-31, while MiMo-V2-Omni's cutoff date is not specified.
We can confirm Gemini 3.5 Flash's training data extends to 2026-01-31, but cannot make a direct comparison without MiMo-V2-Omni's cutoff date.
Jan 2026
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Provider Availability
Gemini 3.5 Flash is available from Google. MiMo-V2-Omni is available from Xiaomi.
Gemini 3.5 Flash
MiMo-V2-Omni
Outputs Comparison
Key Takeaways
MiMo-V2-Omni
View detailsXiaomi
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash and MiMo-V2-Omni side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3.5 Flash vs MiMo-V2-Omni.