Model Comparison
Gemma 4 31B vs MiMo-V2-OmniWhich is better in 2026?
MiMo-V2-Omni significantly outperforms across most benchmarks. Gemma 4 31B is 4.2x cheaper per token.
Verdict: Gemma 4 31B vs MiMo-V2-Omni — which is better?
Gemma 4 31B (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.
Gemma 4 31B 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, Gemma 4 31B is roughly 4.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemma 4 31B also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 4 31B if…
- cost matters — it's about 4.2x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
Choose MiMo-V2-Omni if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 4 31B 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, Gemma 4 31B ($0.13/1M tokens) is 3.1x cheaper than MiMo-V2-Omni ($0.40/1M tokens).
For output processing, Gemma 4 31B ($0.38/1M tokens) is 5.3x cheaper than MiMo-V2-Omni ($2.00/1M tokens).
In conclusion, MiMo-V2-Omni is more expensive than Gemma 4 31B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemma 4 31B accepts 262,144 input tokens compared to MiMo-V2-Omni's 262,000 tokens. Gemma 4 31B can generate longer responses up to 131,072 tokens, while MiMo-V2-Omni is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
Both Gemma 4 31B and MiMo-V2-Omni support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 31B
MiMo-V2-Omni
License
Usage and distribution terms
Gemma 4 31B is licensed under Apache 2.0, while MiMo-V2-Omni uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 4 31B was released on 2026-04-02, while MiMo-V2-Omni was released on 2026-03-18.
Gemma 4 31B is 1 month newer than MiMo-V2-Omni.
Apr 2, 2026
3 months ago
2w newerMar 18, 2026
4 months ago
Knowledge Cutoff
When training data ends
Gemma 4 31B has a documented knowledge cutoff of 2025-01-01, while MiMo-V2-Omni's cutoff date is not specified.
We can confirm Gemma 4 31B's training data extends to 2025-01-01, but cannot make a direct comparison without MiMo-V2-Omni's cutoff date.
Jan 2025
—
Provider Availability
Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together. MiMo-V2-Omni is available from Xiaomi.
Gemma 4 31B
MiMo-V2-Omni
Outputs Comparison
Key Takeaways
Gemma 4 31B
View detailsMiMo-V2-Omni
View detailsXiaomi
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemma 4 31B and MiMo-V2-Omni side-by-side, then vote on the output you prefer.
| Feature | | |
|---|
FAQ
Common questions about Gemma 4 31B vs MiMo-V2-Omni.