MAI-Image 2.6
A versatile model, balanced across most use cases.
Overview
MAI-Image 2.6 is Microsoft AI's in-house image generation model, integrated into Microsoft products.
Skill profile
Not disclosed
Limitations
- No documented EU residency
- API pricing not disclosed
Who is it for
- you handle sensitive data with no EU option
Key specifications
What it costs per month
Estimate from sourced API prices and a hardware tier for self-hosting. Assumptions are editable.
Assumptions: 36-month amortisation, 0.25 €/kWh, 22 days/month, 1 $ = 0.92 €. Excludes labour, software licences, redundancy.
nAIvigate Trust Index
What the vendor offers and documents for professional use in Europe. An undocumented criterion counts as zero and stays visible: the score rises when the vendor publishes, not when we assume.
8/20 criteria documented · 40 % · provisional: 50 % documented criteria or fewer
See the criteria▾
Trust Index badge
Show this score in your docs, README or security page. It updates automatically.
[](https://naivigate.com/en/model/mai-image-2-6)Data & compliance
What we know, line by line, with source and date. These lines feed the Data and Enterprise families of the Trust Index above. GDPR compliance depends on your processing, not on the model alone.
| EU data residency | Not documented |
| Data processing agreement (DPA) | Not documented |
| Transfer outside the EU | Not documented |
| Training on your data | Not documented |
| Configurable retention | Not documented |
| Zero Data Retention | Not documented |
| Self-hostable | No |
| Declared hosting | US |
Quality of this card’s data
This score measures the quality of the data on this card: price, context, Elo, licence, documented, sourced and fresh. It measures neither the model nor its compliance: for that, see the Trust Index above.
1/6 documented · 0/6 primary sources
| API pricing | missing | |
| Context window | missing | |
| Arena Elo | missing | |
| Benchmarks (MMLU, GPQA, SWE-bench…) | missing | |
| Licence | nAIvigate assessment | |
| Data & compliance | missing |
Advanced data · for expertsArchitecture, modalities, detailed cost, full benchmarks▾
| Arena Elo | — |
| MMLU | — |
| GPQA | — |
| HumanEval | — |
| SWE-Bench | — |
| MATH | — |