MAI Models by Microsoft AI
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Microsoft AI (MAI) is Microsoft's proprietary model family for Copilot and Azure AI Foundry. The lineup now spans reasoning, coding, image generation/editing, speech synthesis, and transcription models, including MAI-Thinking-1, MAI-Code-1, MAI-Code-1-Flash, MAI-Image-2.5, MAI-Image-2.5-Flash, MAI-Voice-2, and MAI-Transcribe-1.5 alongside the earlier MAI image and speech releases.
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs reasoning, 256k context, and tool use.
Use when the workload needs code, 256k context, and reasoning.
Use when the workload needs image generation, 32k context, and multimodal inputs.
Use when the workload needs image generation, 32k context, and multimodal inputs.
Use when the workload needs speech recognition, multimodal inputs, and audio.
Use when the workload needs image generation, 33k context, and multimodal inputs.
Use when the workload needs speech recognition, multimodal inputs, and audio.
Use when the workload needs text to speech, multimodal inputs, and audio.
Use when the workload needs image generation and multimodal inputs.
Use when the workload needs reasoning, 164k context, and 671B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| MAI-Thinking-1 | Use when the workload needs reasoning, 256k context, and tool use. | 2026-06 | reasoning256k contexttool use | Current |
| MAI-Code-1 | Use when the workload needs code. | 2026-06 | code | Current |
| MAI-Code-1-Flash | Use when the workload needs code, 256k context, and reasoning. | 2026-06 | code256k contextreasoning | Current |
| MAI-Image-2.5 | Use when the workload needs image generation, 32k context, and multimodal inputs. | 2026-06 | image generation32k contextmultimodal inputs | Current |
| MAI-Image-2.5-Flash | Use when the workload needs image generation, 32k context, and multimodal inputs. | 2026-06 | image generation32k contextmultimodal inputs | Current |
| MAI-Voice-2 | Use when the workload needs text to speech and audio. | 2026-06 | text to speechaudio | Current |
| MAI-Transcribe-1.5 | Use when the workload needs speech recognition, multimodal inputs, and audio. | 2026-06 | speech recognitionmultimodal inputsaudio | Current |
| MAI-Image-2e | Use when the workload needs image generation, 33k context, and multimodal inputs. | 2026-04 | image generation33k contextmultimodal inputs | Current |
| MAI-Transcribe-1 | Use when the workload needs speech recognition, multimodal inputs, and audio. | 2026-04 | speech recognitionmultimodal inputsaudio | Current |
| MAI-Voice-1 | Use when the workload needs text to speech, multimodal inputs, and audio. | 2026-04 | text to speechmultimodal inputsaudio | Current |
| MAI-Image-2 | Use when the workload needs image generation and multimodal inputs. | 2026-03 | image generationmultimodal inputs | Current |
| MAI-DS-R1 | Use when the workload needs reasoning, 164k context, and 671B parameters. | 2025-04 | reasoning164k context671B parameters | Current |
Release Timeline
4 release groupsSpecifications(12 models)
| Model | Released | Context | Parameters | Vision | Multimodal | Reasoning | Fn Calling | Tool Use |
|---|---|---|---|---|---|---|---|---|
| MAI-Thinking-1 | 2026-06 | 256k | 1T total / 35B active | No | No | Yes | Yes | Yes |
| MAI-Code-1 | 2026-06 | — | — | No | No | No | No | No |
| MAI-Code-1-Flash | 2026-06 | 256k | — | No | No | Yes | No | Yes |
| MAI-Image-2.5 | 2026-06 | 32k | — | Yes | Yes | No | No | No |
| MAI-Image-2.5-Flash | 2026-06 | 32k | — | Yes | Yes | No | No | No |
| MAI-Voice-2 | 2026-06 | — | — | No | No | No | No | No |
| MAI-Transcribe-1.5 | 2026-06 | — | — | No | Yes | No | No | No |
| MAI-Image-2e | 2026-04 | 33k | — | Yes | Yes | No | No | No |
| MAI-Transcribe-1 | 2026-04 | — | — | No | Yes | No | No | No |
| MAI-Voice-1 | 2026-04 | — | — | No | Yes | No | No | No |
| MAI-Image-2 | 2026-03 | — | — | Yes | Yes | No | No | No |
| MAI-DS-R1 | 2025-04 | 164k | 671B | No | No | Yes | No | No |
Available From(1 provider)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| MAI-Transcribe-1 | Microsoft Foundry | $0.36 | — | Serverless |
| MAI-Code-1-Flash | Microsoft Foundry | $0.75 | $4.5 | Serverless |
| MAI-Image-2 | Microsoft Foundry | $5 | $33 | Serverless |
| MAI-Voice-1 | Microsoft Foundry | $22 | — | Serverless |
Comparisons
- MAI-Thinking-1 vs Claude Opus 4.6
- MAI-Thinking-1 vs Claude Sonnet 4.6
- Claude Fable 5 vs MAI-Thinking-1
- MAI-Code-1-Flash vs Claude Haiku 4.5
Frequently Asked Questions
- What is MAI used for?
- MAI is used for reasoning, code, and image generation. The family description and listed model capabilities point to those workloads as the best fit.
- How does MAI compare to Claude 3?
- MAI by Microsoft AI is strongest where you need reasoning, while Claude 3 by Anthropic is the closest related family to check for vision and multimodal work. MAI has 12 listed variants and reaches up to 256k context, while Claude 3 reaches up to 200k context, so compare the specs and pricing tables before choosing a production model.
- Which MAI model should I use?
- For the lowest listed input price, start with MAI-Transcribe-1 through Microsoft Foundry at $0.36/1M input tokens. For the most capable/latest local choice, evaluate MAI-Thinking-1 with 256k context and reasoning, tool use, and function calling.
Models(12)
MAI-Thinking-1
MAI-Code-1
MAI-Code-1-Flash
MAI-Image-2.5
MAI-Image-2.5-Flash
MAI-Voice-2
MAI-Transcribe-1.5
MAI-Image-2e
MAI-Transcribe-1
MAI-Voice-1
MAI-Image-2
MAI-DS-R1
