Microsoft MAI-Image-2 vs Cohere Command A

Which one should you pick? Here's the full breakdown.

Microsoft MAI-Image-2

B
7.4/10

Microsoft's first in-house diffusion image model -- launched 2026-04-02, debuted #3 on Arena.ai leaderboard for image model families. Public preview on Azure Foundry. Powers Copilot, Bing Image Creator, and PowerPoint. Efficient variant (MAI-Image-2-Efficient) shipped 2026-04-14

Our Pick

Cohere Command A

B
7.5/10

Cohere's enterprise-multilingual flagship -- 111B params, 256K context, runs on 2x H100. 23 languages. CC-BY-NC 4.0 on weights (research / non-commercial), commercial requires Cohere enterprise contract. Follow-ups: Command A Reasoning + Command A Vision

CategoryMicrosoft MAI-Image-2Cohere Command A
Ease of Use6.56.5
Output Quality8.58.5
Value7.57.0
Features7.08.0
Overall7.47.5

Pricing Comparison

FeatureMicrosoft MAI-Image-2Cohere Command A
Free TierYesYes
Starting Price$5 input / $33 output$0

Which Should You Pick?

Pick Microsoft MAI-Image-2 if...

Microsoft shops already on Azure or M365 Copilot who need a first-party image model without an OpenAI dependency. Also good for any high-volume programmatic image workflow (ad creative, product photography variations) where MAI-Image-2-Efficient's 4x cost efficiency materially changes the economics.

Visit Microsoft MAI-Image-2

Pick Cohere Command A if...

  • More features (8 vs 7)

Mid-size to large enterprises needing a multilingual open-weight model with low-ish infrastructure requirements (2x H100 for full model). Especially good for retrieval-augmented generation over internal document stores, multi-language customer support, and workflows touching Asian / Middle Eastern / African languages where Command A's coverage materially beats Llama or Mistral. Also a strong pick for teams already in Cohere's enterprise ecosystem.

Visit Cohere Command A

Our Verdict

Microsoft MAI-Image-2 and Cohere Command A are extremely close overall. Your choice comes down to specific needs -- Microsoft MAI-Image-2 is better for microsoft shops already on azure or m365 copilot who need a first-party image model without an openai dependency, while Cohere Command A works best for mid-size to large enterprises needing a multilingual open-weight model with low-ish infrastructure requirements (2x h100 for full model).