モデル比較 · 2026年6月
MAI Image 2.5 vs NanoBanana 2：どちらのAI画像モデルを選ぶべき？
MicrosoftのMAI-Image-2.5とGoogleのNanoBanana 2は2026年のリーダーモデルですが、得意分野が異なります。公開ベンチマークと実務ワークフローに基づく比較ガイドです。
2026年6月14日更新 · 約8分
Quick answer
読みやすい文字、ブランドレイアウト、商品コンセプトにはMAI Image 2.5。フォトリアル、肌質感、映画的ライティング、大量生成にはNanoBanana 2。多くのチームは両方を使い分けます。
Overview
Two 2026 leaders, different strengths
MAI Image 2.5（Microsoft AI、2026年5月発表）はArenaで3位、図中文字の改善、商用ビジュアル、視覚推論が強化。NanoBanana 2（Google、Gemini 3.1 Flash Image）は速度とフォトリアルに最適化。
Head-to-head
MAI Image 2.5 vs NanoBanana 2 at a glance
Figures below synthesize Q2 2026 public benchmarks and reviewer comparisons. Pricing varies by provider, resolution tier, and batch mode.
| Feature | MAI Image 2.5 | NanoBanana 2 |
|---|---|---|
| Vendor / backbone | Microsoft AI · MAI-Image-2.5 | Google · Gemini 3.1 Flash Image |
| Release window | May 2026 | Q1–Q2 2026 |
| Max resolution | Up to 4K (provider-dependent) | Up to 4K |
| Typical generation speed | Moderate · quality-first pipeline | ~850 ms avg · often 4–6 s end-to-end |
| In-image text accuracy | Highlighted upgrade · Arena #3 text-to-image | ~91% in Atlas Cloud Q2 2026 tests |
| Reference images | Strong prompt following for brand and product edits | Strong character consistency (up to ~5 people) |
| Typical platform cost | ~8 credits per image on mai-image2.com | ~24 credits per image · cheaper API tiers ~$0.06–$0.09 |
| Best for | Posters, packaging, brand visuals, readable text, commercial concepts | Photorealism, speed, social automation, storyboards |
MAI Image 2.5
MAI Image 2.5を選ぶべきとき
Microsoft positions MAI-Image-2.5 as the strongest model in the MAI Image series so far, launching at No. 3 on Arena with sharper text rendering, stronger commercial imagery, and more coherent visual reasoning.
Readable text & brand layouts
Posters, labels, packaging mockups, and infographic prompts hold sharper, more legible words—one of the headline upgrades over MAI-Image-2.
Commercial & product imagery
The model targets product photography, campaign concepts, and brand-forward layouts that need usable details, not just beautiful previews.
Visual reasoning & composition
Objects, scene structure, scale, lighting, and spatial relationships are handled more deliberately for real creative work.
Arena-ranked quality
Microsoft says MAI-Image-2.5 launched at No. 3 on the Arena text-to-image leaderboard—a strong signal for teams comparing frontier models.
NanoBanana 2
NanoBanana 2を選ぶべきとき
Reviewers consistently rank NanoBanana 2 ahead on photo-led visuals and throughput. PixVerse's 2026 same-prompt tests and Atlas Cloud's API benchmark both highlight speed and material realism as its core advantage.
Photoreal portraits & product heroes
NanoBanana 2 leads on natural skin, cinematic lighting, reflections, and product surfaces that should feel camera-shot rather than illustrated.
Speed at production volume
With sub-second average latency in Atlas Cloud's Q2 2026 benchmark and typical 4–6 second generations, NB2 is built for social pipelines and rapid iteration.
Character consistency across scenes
Multiple 2026 reviews note strong identity preservation across a project—useful for storyboards, campaign variations, and multi-image series.
Cost-efficient automation
At roughly $0.06–$0.09 per call in common API tiers, NanoBanana 2 offers one of the best speed-to-cost ratios for high-frequency image generation.
2026 benchmarks
What reviewers and API benchmarks report
The stats below come from publicly available Q2 2026 comparisons and Microsoft's May 2026 launch claims. Treat pricing as directional—your provider, resolution, and batch settings will shift the final number.
#3
MAI Image 2.5 Arena text-to-image rank at launch (Microsoft, May 2026)
~850 ms
NanoBanana 2 average latency (Atlas Cloud Q2 2026 benchmark)
May 2026
MAI Image 2.5 announcement date (Microsoft AI)
4–6 s
Typical NanoBanana 2 generation time cited in 2026 efficiency reviews
Workflow
How teams combine both models in 2026
The emerging production pattern is not picking one winner—it is routing briefs by asset type, then optionally pairing outputs in the same campaign.
Route by asset type
Send typography-heavy and brand-layout briefs to MAI Image 2.5 and photo-led briefs to NanoBanana 2 before spending credits on the wrong model.
Run the same prompt on both
When a brief mixes readable copy with photoreal scenes, A/B test identical prompts on MAI Image 2.5 and NanoBanana 2 to see which model wins for your style.
Use NB2 for volume, MAI 2.5 for finals
Many teams iterate quickly on NanoBanana 2, then regenerate approved concepts on MAI Image 2.5 when text precision, brand polish, or layout discipline is required.
Sources
References & further reading
- Introducing MAI-Image-2.5 (Microsoft AI Blog)
Official launch post with Arena rank, text rendering upgrades, and access on Arena, Playground, and Foundry.
- 2026 AI Image API Benchmark (Atlas Cloud)
Latency, typo accuracy, resolution, and cost-per-call comparison across leading 2026 image APIs including NanoBanana 2.
- GPT Image 2 vs Nano Banana 2: 2026 Comparison Guide (PixVerse)
Same-prompt tests across text rendering, photorealism, pricing, and best-use guidance for Google's image stack.
- The 4 AI Image Models Worth Using in 2026 (Banana Prompts)
Market overview with latency, pricing floors, and when-to-use rules for frontier image models.
FAQ
MAI Image 2.5 vs NanoBanana 2 FAQ
よくある質問
Try both models
自分のプロンプトで両モデルを比較
タイポグラフィやブランド品質が重要ならMAI Image 2.5から。フォトリアルの速度が優先ならNanoBanana 2と比較してください。