Model Comparison
MiniMax M2.7 vs MiMo-V2-OmniWhich is better in 2026?
MiMo-V2-Omni significantly outperforms across most benchmarks. MiniMax M2.7 is 1.5x cheaper per token.
Verdict: MiniMax M2.7 vs MiMo-V2-Omni — which is better?
MiniMax M2.7 (by MiniMax) 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.
MiniMax M2.7 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, MiniMax M2.7 is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2-Omni also accepts a larger context window (262,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose MiniMax M2.7 if…
- cost matters — it's about 1.5x cheaper per token
- 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
- you process long inputs — it offers a 262,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
MiniMax M2.7 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, MiniMax M2.7 ($0.30/1M tokens) is 1.3x cheaper than MiMo-V2-Omni ($0.40/1M tokens).
For output processing, MiniMax M2.7 ($1.20/1M tokens) is 1.7x cheaper than MiMo-V2-Omni ($2.00/1M tokens).
In conclusion, MiMo-V2-Omni is more expensive than MiniMax M2.7.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2-Omni accepts 262,000 input tokens compared to MiniMax M2.7's 196,608 tokens. MiniMax M2.7 can generate longer responses up to 196,608 tokens, while MiMo-V2-Omni is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
MiMo-V2-Omni supports multimodal inputs, whereas MiniMax M2.7 does not.
MiMo-V2-Omni can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M2.7
MiMo-V2-Omni
License
Usage and distribution terms
MiniMax M2.7 is licensed under MIT, while MiMo-V2-Omni uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Both models were released on 2026-03-18.
They likely represent similar generations of model development.
Mar 18, 2026
4 months ago
Mar 18, 2026
4 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiniMax M2.7 is available from Fireworks, MiniMax, Novita. MiMo-V2-Omni is available from Xiaomi.
MiniMax M2.7
MiMo-V2-Omni
Outputs Comparison
Key Takeaways
MiniMax M2.7
View detailsMiniMax
MiMo-V2-Omni
View detailsXiaomi
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiniMax M2.7 and MiMo-V2-Omni side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MiniMax M2.7 vs MiMo-V2-Omni.