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Model infoModelsSnapshot: 15 Oct 2026

Microsoft AI / MAI-Image

MAI-Image-2-Efficient

MAI-Image-2-Efficient is a diffusion model for text-to-image generation. This record preserves the original 2026 model card and its separate published token rates.

historicalClosed weightsImage generation
Official documentation (opens in a new tab)Reviewed 14 Oct 2026
10 of 21 specification fields collected
Output resolutionMaximum 1024 × 1024 pixels in the original model card.See specification notes below
Output formatsNot collectedAwaiting source review
Input billingSee ratesMicrosoft Foundry (historical model)
Output billingSee ratesPublished units and conditions below

Specifications

Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.

Context / input limit
32K (provider-rounded)Source for Context / input limit (opens in a new tab)

The model card does not disambiguate 32,000 versus 32,768; no exact ceiling is invented.

Maximum input tokens
Not collected
Maximum output
Not collected
Reasoning
Not collected
Tool calling
Not collected
Structured output
Not collected
Streaming
Not collected
Batch processing
Not collected
Fine-tuning
Not collected
Parameters
10B–50B non-embedding parametersSource for Parameters (opens in a new tab)
Knowledge cutoff
Not collected
Languages
Not collected
Context caching
Not collected
Architecture
Diffusion with flow-matching training objectiveSource for Architecture (opens in a new tab)
Output resolutions
Maximum 1024 × 1024 pixels in the original model card.Source for Output resolutions (opens in a new tab)
Training period
January–March 2026Source for Training period (opens in a new tab)
Endpoint availability
Historical Foundry and MAI Playground offering. The reviewed public catalog page now returns no model data; this alone does not establish retirement.Source for Endpoint availability (opens in a new tab)

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

Microsoft Foundry (historical model)

Provider source (opens in a new tab)
API model ID
Not collected

No current deployment name or immutable API selector verified.

Access
Historically distributed through Foundry. Current pricing page retains named Global meters, but that does not guarantee new deployments.
Regions
Not verified for this model version.

Prices retain their published currencies and billing units below.

Published billing units · original currency · observed 14 Oct 2026
CategoryUsageRateUnit
Historical pricingText input1$5.001M tokens
Historical pricingImage output1$19.501M tokens

Rate conditions

  1. USD us-east selection in the current Azure pricing page for this historical named model. Published meters are not evidence that a new deployment is available; no fixed image cost is derived.
Pricing source (opens in a new tab)

Data & enterprise terms

Model-specific retention and training-use policy not collected.

MAI Playground (historical)

Provider source (opens in a new tab)
API model ID
Not collected
Access
Original consumer playground offering; current model selection unverified.
Regions
Not verified for this model version.

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

Model-specific retention and training-use policy not collected.

Caching

Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.

01 / INITIAL INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

Microsoft Foundry (historical model)

Not verified

No endpoint-specific cache contract verified for this version.

How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

No verified cache rate for this endpoint. An empty rate is not a zero charge.

Caching reviewed 14 Oct 2026

MAI Playground (historical)

Not verified

No endpoint-specific cache contract verified for this version.

How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

No verified cache rate for this endpoint. An empty rate is not a zero charge.

Caching reviewed 14 Oct 2026

What the measurements say

No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.

Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.

The record behind the model

Why it is included

Microsoft documents this as its internally developed MAI model, distributed through hosted Microsoft products or services. The reviewed materials provide no downloadable weights for this named model. Public Phi and MAI-DS-R1 families are not included by inference.

Classification evidence (opens in a new tab)

Sources reviewed