Nano Banana 2.1 vs MAI-Image-2.6
In image generation, Nano Banana 2.1 scores 77.6 and MAI-Image-2.6 75.7 on the 0–100 quality scale. MAI-Image-2.6 costs 1.2× as much as Nano Banana 2.1 ($0.039 vs $0.034 per image).
Nano Banana 2.1MAI-Image-2.6
Image generation: quality vs price
Compared models are ringed; the other 42 ranked here are greyed.
Lower price is better. Pareto frontier: Z-Image Turbo, Muse Image, MAI-Image-2.6-Flash, Nano Banana 2.1, GPT Image 2.5 Sunburst. 2 models are not plotted: Qwen-Image-2.1, Ideogram 4.5.
2 models with no price data — shown in the strip at the left edge
Qwen-Image-2.1, Ideogram 4.5
- Best-value frontier (nothing is both cheaper and better)
- Evidencestrong → weak
- Estimated from other categories
- Hover a dot for details · click a lab to highlight it
- Nano Banana 2.1
- Quality
- 77.6
- Rank
- #4/44
- Price
- $0.034/img
- Speed
- —
vs MAI-Image-2.6: +1.9 quality · 0.86× price
- MAI-Image-2.6
- Quality
- 75.7
- Rank
- #5/44
- Price
- $0.039/img
- Speed
- —
vs Nano Banana 2.1: −1.9 quality · 1.2× price
Overview
Lab
Google DeepMind
Microsoft AI
Released
Oct 6, 2026
Aug 10, 2026
Weights
Proprietary
Proprietary
Price per image
$0.034Best
$0.039
Quality by category
0–100 within each category (100 = best tracked model). Rank is among all models ranked there. Click a row to focus it.
Image generation benchmarks
Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, estimated from related benchmarks.
AA Text-to-Image Arena
third-party
AA Image Editing Arena
third-party
LMArena Text-to-Image
third-party
#6/321328Verified
arena.ai · 2026-10-06
#4/321334BestVerified
arena.ai · 2026-10-13
LMArena Image Edit
third-party
#6/261428Verified
arena.ai · 2026-10-06
#5/261429BestVerified
arena.ai · 2026-10-13
GenEval
day 0
~#2/4~87.9%Estimated
estimated from related benchmarks
~#2/4~87.7%Estimated
estimated from related benchmarks
DPG-Bench
day 0
~#2/4~88.4%Estimated
estimated from related benchmarks
~#3/4~88.2%Estimated
estimated from related benchmarks