Model Comparison
MiniMax M2.7 vs MiMo-V2.5Which is better in 2026?
MiMo-V2.5 shows notably better performance in the majority of benchmarks. MiMo-V2.5 is 2.5x cheaper per token.
Verdict: MiniMax M2.7 vs MiMo-V2.5 — which is better?
MiniMax M2.7 (by MiniMax) and MiMo-V2.5 (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 1 benchmarks (SWE-Bench Pro), while MiMo-V2.5 is better at 2 benchmarks (Finance Agent v2, Terminal-Bench 2.0). MiMo-V2.5 shows notably better performance in the majority of benchmarks.
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.
Choose MiniMax M2.7 if…
- you want predictable pricing at $0.30/M input and $1.20/M output
Choose MiMo-V2.5 if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- cost matters — it's about 2.5x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Apr 2026
Performance Benchmarks
Comparative analysis across standard metrics
MiniMax M2.7 outperforms in 1 benchmarks (SWE-Bench Pro), while MiMo-V2.5 is better at 2 benchmarks (Finance Agent v2, Terminal-Bench 2.0).
MiMo-V2.5 shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, MiniMax M2.7 ($0.30/1M tokens) is 1.8x more expensive than MiMo-V2.5 ($0.17/1M tokens).
For output processing, MiniMax M2.7 ($1.20/1M tokens) is 3.6x more expensive than MiMo-V2.5 ($0.34/1M tokens).
In conclusion, MiniMax M2.7 is more expensive than MiMo-V2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.5 accepts 1,048,576 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-V2.5 is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
MiMo-V2.5 supports multimodal inputs, whereas MiniMax M2.7 does not.
MiMo-V2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M2.7
MiMo-V2.5
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
MiniMax M2.7 was released on 2026-03-18, while MiMo-V2.5 was released on 2026-04-22.
MiMo-V2.5 is 1 month newer than MiniMax M2.7.
Mar 18, 2026
4 months ago
Apr 22, 2026
2 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
MiniMax M2.7 is available from Fireworks, MiniMax, Novita. MiMo-V2.5 is available from Novita, DeepInfra.
MiniMax M2.7
MiMo-V2.5
Outputs Comparison
Key Takeaways
MiniMax M2.7
View detailsMiniMax
MiMo-V2.5
View detailsXiaomi
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiniMax M2.7 and MiMo-V2.5 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MiniMax M2.7 vs MiMo-V2.5.