MiMo-V2.5 vs MiniMax M3
MiMo-V2.5 and MiniMax M3 are closely matched at 35.4 and 41.4 on the LLM Stats Score. MiMo-V2.5 is 2.5x cheaper per token.
Xiaomi · MiniMax · Updated for 2026
Which is better?
MiMo-V2.5 and MiniMax M3 are closely matched on the overall LLM Stats Score at 35.4 and 41.4.
In the 5 individual benchmarks reported for both models, MiniMax M3 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2.5 is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.5 also accepts a larger context window (1,048,576 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-V2.5
- cost matters — it's about 2.5x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose MiniMax M3
- you value its reported benchmark strengths — it wins 4 of 5 exact shared results
- you want the most recent training data — it shipped Jun 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
14 reported for MiMo-V2.5 · 35 for MiniMax M3
MiMo-V2.5 outperforms in 1 benchmarks (Video-MME), while MiniMax M3 is better at 4 benchmarks (Claw-Eval, Finance Agent v2, MMMU-Pro, SWE-Bench Pro).
MiniMax M3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2.5 ($0.17/1M tokens) is 1.8x cheaper than MiniMax M3 ($0.30/1M tokens).
For output processing, MiMo-V2.5 ($0.34/1M tokens) is 3.6x cheaper than MiniMax M3 ($1.20/1M tokens).
In conclusion, MiniMax M3 is more expensive than MiMo-V2.5.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiniMax M3 has 117.2B more parameters than MiMo-V2.5, making it 37.7% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.5 accepts 1,048,576 input tokens compared to MiniMax M3's 512,000 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both MiMo-V2.5 and MiniMax M3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiMo-V2.5
MiniMax M3
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
MiMo-V2.5 was released on 2026-04-22, while MiniMax M3 was released on 2026-06-01.
MiniMax M3 is 1 month newer than MiMo-V2.5.
Apr 22, 2026
4 months ago
Jun 1, 2026
3 months ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiMo-V2.5 is available from Novita, DeepInfra. MiniMax M3 is available from Fireworks, MiniMax, Novita, Together.
MiMo-V2.5
MiniMax M3
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.5 and MiniMax M3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.5 vs MiniMax M3.