MiMo-V2-Pro vs MiniMax M2.7
MiMo-V2-Pro and MiniMax M2.7 are closely matched at 35.6 and 35.5 on the LLM Stats Score. MiniMax M2.7 is 2.9x cheaper per token.
Xiaomi · MiniMax · Updated for 2026
Which is better?
MiMo-V2-Pro and MiniMax M2.7 are closely matched on the overall LLM Stats Score at 35.6 and 35.5.
The models split the 2 individual benchmarks reported for both models evenly.
On price, MiniMax M2.7 is roughly 2.9x 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-Pro
- you process long inputs — it offers a 1,000,000 token context window
Choose MiniMax M2.7
- cost matters — it's about 2.9x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for MiMo-V2-Pro · 11 for MiniMax M2.7
MiMo-V2-Pro outperforms in 1 benchmarks (Terminal-Bench 2.0), while MiniMax M2.7 is better at 1 benchmark (SWE-bench Multilingual).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2-Pro ($1.00/1M tokens) is 3.3x more expensive than MiniMax M2.7 ($0.30/1M tokens).
For output processing, MiMo-V2-Pro ($3.00/1M tokens) is 2.5x more expensive than MiniMax M2.7 ($1.20/1M tokens).
In conclusion, MiMo-V2-Pro 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-Pro accepts 1,000,000 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-Pro is limited to 16,384 tokens.
License
Usage and distribution terms
MiMo-V2-Pro is licensed under a proprietary license, while MiniMax M2.7 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
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-Pro is available from Xiaomi. MiniMax M2.7 is available from Fireworks, MiniMax, Novita, DeepInfra.
MiMo-V2-Pro
MiniMax M2.7
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2-Pro and MiniMax M2.7 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2-Pro vs MiniMax M2.7.