Microsoft MAI-Image-2
Free tier available
- Azure Foundry API$5 input / $33 output/per 1M tokens
- MAI-Image-2-Efficient (variant, shipped 2026-04-14)Reduced rates
- Bundled (Copilot / Bing Image Creator / PowerPoint)Included
B
7.4/10Microsoft MAI-Image-2
VS
Our pickA
8.3/10Gemini (Google)
Microsoft MAI-Image-2 vs Gemini (Google)
Tier-list head-to-head. Gemini (Google) takes the A-tier slot — here's the breakdown.
Last reviewed May 21, 2026· sweep-fresh
Spec sheet
At a glance
| Microsoft MAI-Image-2 | Gemini (Google) | |
|---|---|---|
| Tier | B-tier | A-tierwin |
| Overall score | 7.4 / 10 | 8.3 / 10win |
| Free tier | Yes | Yes |
| Starting price | $5 input / $33 output | $0 |
| Best for | Microsoft shops already on Azure or M365 Copilot who need a first-party image model without an OpenAI depen… | Google Workspace power users. |
| Last reviewed | 2026-04-17 | 2026-05-21 |
Head-to-head
Score showdown
Rated 1-10 on the same rubric across all 130 tools we cover.
Ease of use+1.5 Gemini (Google)
Microsoft MAI-Image-2
6.5
Gemini (Google)
8.0
Output quality+0.5 Microsoft MAI-Image-2
Microsoft MAI-Image-2
8.5
Gemini (Google)
8.0
Value+1.5 Gemini (Google)
Microsoft MAI-Image-2
7.5
Gemini (Google)
9.0
Features+1.0 Gemini (Google)
Microsoft MAI-Image-2
7.0
Gemini (Google)
8.0
Overall+0.9 Gemini (Google)
Microsoft MAI-Image-2
7.4
Gemini (Google)
8.3
What you'll pay
Pricing snapshot
Look past the headline number -- entry-tier limits drive most cost surprises.
Gemini (Google)
Free tier available
- Free$0
- Google AI Pro$19.99/mo
- Google AI Ultra$249.99/mo
Benchmark Head-to-Head
Gemini 3.5 Flash (vendor-published 2026-05-19; third-party verification pending) -- legacy 3.1 Ultra retained below for context benchmarks — Microsoft MAI-Image-2 has no published benchmarks
| Benchmark | Description | Score |
|---|---|---|
| Terminal-Bench 2.1 | 76.2% | |
| MCP Atlas | 83.6% | |
| CharXiv Reasoning (multimodal) | 84.2% | |
| MMLU (3.1 Ultra baseline) | 90.5% | |
| SWE-bench Verified (3.1 Ultra baseline) | 80.6% |
The decision
Which should you pick?
Use-case anchors and category strengths, side by side.
Pick Microsoft MAI-Image-2if…
B
7.4/10- ✓Microsoft shops already on Azure or M365 Copilot who need a first-party image model without an OpenAI dependency.
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-2Pick Gemini (Google)if…
A
8.3/10- ✓Easier to learn and use day-to-day -- friendlier onboarding curve
- ✓Better value at the price you'll actually pay (9.0/10 on value)
- ✓More feature surface area for power users who'll use the depth
- ✓Google Workspace power users.
- ✓If you live in Gmail, Docs, and Drive, Gemini Advanced integrates directly into your workflow.
Google Workspace power users. If you live in Gmail, Docs, and Drive, Gemini Advanced integrates directly into your workflow. Also great for developers who need the cheapest API with the longest context window.
Visit Gemini (Google)Bottom line
The verdict
Gemini (Google) edges out Microsoft MAI-Image-2 by 0.9 points (8.3 vs 7.4) -- a A-tier vs B-tier split that's narrow but real. Not a blowout; both belong on a shortlist. The score gap shows up most clearly in the categories that matter for Gemini (Google)'s strengths, so if those categories are your priority, the lead translates.
Pricing-wise, both tools have a free tier (Microsoft MAI-Image-2 starts $5 input / $33 output, Gemini (Google) starts $0), so you can test either without committing. Compare what each free tier actually unlocks -- usage caps, model access, and feature gates differ a lot more than the headline price suggests, especially as both vendors have tightened limits in 2026.
By use case: pick Microsoft MAI-Image-2 when microsoft shops already on azure or m365 copilot who need a first-party image model without an openai dependency. Pick Gemini (Google) when google workspace power users. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in Gemini (Google)'s lane, the tier-list ranking and the use-case fit point the same direction; if you're in Microsoft MAI-Image-2's lane, the score gap matters less than the fit.
Bottom line: Gemini (Google) is the safer default for most readers, but Microsoft MAI-Image-2 is competitive enough that the tie-breaker is your specific workload, not the spec sheet.
Keep digging
Compare more & explore
Full Microsoft MAI-Image-2 review
Tier B · 7.4/10
Full Gemini (Google) review
Tier A · 8.3/10
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Built from our daily AI-tool sweep, last touched May 21, 2026. Honest tier-list reviews — no affiliate-link pieces disguised as advice. See the rubric or how we review.