MiMo-V2.6-Flash vs MiniMax M2.7
MiMo-V2.6-Flash leads the LLM Stats Score 44.8 to 35.4. MiMo-V2.6-Flash is 3.0x cheaper per token.
Xiaomi · MiniMax · Updated for 2026
Which is better?
MiMo-V2.6-Flash leads the overall LLM Stats Score 44.8 to 35.4, ranking #45 overall.
On price, MiMo-V2.6-Flash is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.6-Flash 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-V2.6-Flash
- overall performance matters — it scores 44.8 and ranks #45 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- cost matters — it's about 3.0x 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 Sep 2026
Choose MiniMax M2.7
- you want predictable pricing at $0.30/M input and $1.20/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for MiMo-V2.6-Flash · 11 for MiniMax M2.7
MiMo-V2.6-Flash and MiniMax M2.7don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, MiMo-V2.6-Flash ($0.14/1M tokens) is 2.1x cheaper than MiniMax M2.7 ($0.30/1M tokens).
For output processing, MiMo-V2.6-Flash ($0.28/1M tokens) is 4.3x cheaper than MiniMax M2.7 ($1.20/1M tokens).
In conclusion, MiniMax M2.7 is more expensive than MiMo-V2.6-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.6-Flash accepts 1,048,576 input tokens compared to MiniMax M2.7's 196,608 tokens. Only MiniMax M2.7 specifies output context (196,608 tokens).
Input capabilities
Documented input modalities across available providers
MiMo-V2.6-Flash supports multimodal inputs, whereas MiniMax M2.7 does not.
MiMo-V2.6-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiMo-V2.6-Flash
MiniMax M2.7
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-V2.6-Flash was released on 2026-09-22, while MiniMax M2.7 was released on 2026-03-18.
MiMo-V2.6-Flash is 6 months newer than MiniMax M2.7.
Sep 22, 2026
3 weeks ago
6mo newerMar 18, 2026
7 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-V2.6-Flash is available from Xiaomi. MiniMax M2.7 is available from Fireworks, MiniMax, Novita, DeepInfra.
MiMo-V2.6-Flash
MiniMax M2.7
Outputs Comparison
Judge for yourself.
Run your own prompts against MiMo-V2.6-Flash and MiniMax M2.7 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiMo-V2.6-Flash vs MiniMax M2.7.