MiMo-V2-Omni vs MiMo-V2-Pro
MiMo-V2-Omni and MiMo-V2-Pro are closely matched at 27.4 and 35.5 on the LLM Stats Score. MiMo-V2-Omni is 1.9x cheaper per token.
Xiaomi · Xiaomi · Updated for 2026
Which is better?
MiMo-V2-Omni and MiMo-V2-Pro are closely matched on the overall LLM Stats Score at 27.4 and 35.5.
In the 3 individual benchmarks reported for both models, MiMo-V2-Pro wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2-Omni is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2-Pro also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiMo-V2-Omni
- cost matters — it's about 1.9x cheaper per token
Choose MiMo-V2-Pro
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
At a glance
The differences that matter most.
Individual benchmarks
5 reported for MiMo-V2-Omni · 7 for MiMo-V2-Pro
MiMo-V2-Omni outperforms in 1 benchmarks (PinchBench), while MiMo-V2-Pro is better at 2 benchmarks (Claw-Eval, SWE-Bench Verified).
MiMo-V2-Pro shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2-Omni ($0.40/1M tokens) is 2.5x cheaper than MiMo-V2-Pro ($1.00/1M tokens).
For output processing, MiMo-V2-Omni ($2.00/1M tokens) is 1.5x cheaper than MiMo-V2-Pro ($3.00/1M tokens).
In conclusion, MiMo-V2-Pro 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
MiMo-V2-Pro accepts 1,000,000 input tokens compared to MiMo-V2-Omni's 262,000 tokens. Both models can generate responses up to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
MiMo-V2-Omni supports multimodal inputs, whereas MiMo-V2-Pro does not.
MiMo-V2-Omni can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2-Omni
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
Both models were released on 2026-03-18.
They likely represent similar generations of model development.
Mar 18, 2026
6 months ago
Mar 18, 2026
6 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
MiMo-V2-Omni is available from Xiaomi. MiMo-V2-Pro is available from Xiaomi.
MiMo-V2-Omni
MiMo-V2-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2-Omni and MiMo-V2-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2-Omni vs MiMo-V2-Pro.