Best AI Image Generator (November 2026): GPT Image 2.6 vs Nano Banana 2.1 vs Grok Imagine

Q: Which one should I choose?

Best quality and precise edits: GPT Image 2.6 Sunburst. OpenAI holds the top five spots, but its maximum settings cost about six times more than Google’s Best value: Nano Banana 2.1, close to the top for a fraction of the price, and strong at photoreal images Cheapest serious option: Meta Muse Image at about a cent per picture, though note our report on Muse Image privacy Fast and cheap layouts: Grok Imagine Image 2.0 Commercial photography look: Microsoft MAI-Image-2.6

Comparisons

GPT Image 2.6, Nano Banana 2.1, MAI-Image-2.6, Grok Imagine and Muse Image compared by blind-vote ranking and price per image. Which AI image generator to pick.

AP

Staff

November 9, 2026 · 2 min read

The best AI image generator in November 2026 is OpenAI’s GPT Image 2.6 Sunburst on quality, Google’s Nano Banana 2.1 on value, and Meta’s Muse Image on price. That is based on the Artificial Analysis text-to-image leaderboard, which ranks models by blind votes from people who pick the better picture without knowing which AI made it, checked on November 8.

Which AI image generators rank highest right now?

The top of the leaderboard, with the price for 1,000 images:

GPT Image 2.6 Sunburst (OpenAI): Elo 1259, about 211 dollars
GPT Image 2.6 Flare (OpenAI): Elo 1228, about 211 dollars
Nano Banana 2.1 (Google): Elo 1176, about 34 dollars
MAI-Image-2.6 (Microsoft): Elo 1168, about 39 dollars
Grok Imagine Image 2.0 (xAI): Elo 1166, 60 dollars
Muse Image (Meta): Elo 1128, 10 dollars

Elo is a score borrowed from chess: higher means people preferred its images more often. A gap of 10 or 20 points is small and can fall within the margin of error.

Which one should I choose?

Best quality and precise edits: GPT Image 2.6 Sunburst. OpenAI holds the top five spots, but its maximum settings cost about six times more than Google’s
Best value: Nano Banana 2.1, close to the top for a fraction of the price, and strong at photoreal images
Cheapest serious option: Meta Muse Image at about a cent per picture, though note our report on Muse Image privacy
Fast and cheap layouts: Grok Imagine Image 2.0
Commercial photography look: Microsoft MAI-Image-2.6

What about Midjourney and Ideogram?

They are still popular, just not top of this vote. Midjourney V8.2 has no public API and is subscription-only, so it is mainly for artists who like its look. Ideogram remains a strong choice when you need readable text inside images, like posters and logos, according to Teamday’s review.

Is the most expensive model always worth it?

No. Leaderboards measure what most voters like in general, not your specific job. For social posts and drafts, a cheaper fast model is often enough, and you can save the top model for final images. Our guide to getting better results from AI image generators shows how better prompts close much of the gap.

Can I use these images commercially?

Usually yes on paid plans, but check each tool’s terms, and remember the legal questions are not settled. Our explainer on AI images and copyright covers what to watch for.

Agility Robotics Goes Public: The First US Humanoid Robot Stock (AGLT) Explained

Funding & Startups

Agility Robotics listed on Nasdaq as AGLT on November 5, 2026, the first pure humanoid robot stock in the US. How it went public, what Digit does, and the risks.

AP

Staff

November 9, 2026 · 2 min read

Agility Robotics became the first company focused purely on humanoid robots to list on a US stock exchange, starting trading on Nasdaq on November 5, 2026 under the ticker AGLT. It went public by merging with a SPAC, Churchill Capital Corp XI, and the deal was reported to raise about 465 million dollars. Its robot, Digit, already moves totes in warehouses for companies like GXO and Toyota.

How did Agility go public?

Through a SPAC, a shell company that is already listed and exists to merge with a private company. That is usually faster than a traditional IPO. Agility completed its merger with Churchill Capital Corp XI on November 4, according to its SEC filing, and its shares and warrants began trading as AGLT and AGLTW the next day. Existing shareholders rolled all of their stock into the new company, with a 180-day lock-up on selling.

What does Digit actually do?

Digit is a two-legged robot with arms built for repetitive warehouse work like picking up and moving plastic totes. The filing says Digit has logged over 65,000 hours of real-world work at customers including GXO, Schaeffler and Toyota Motor Manufacturing Canada. Emergent reports it has moved more than 100,000 totes at one GXO site and can repeatedly lift 50-pound loads with 98% placement accuracy, though it still cannot do complex hand work.

What is Digit 5?

The next version, designed to work safely next to people instead of inside fenced-off areas. Agility says it has more than 300 million dollars in committed multi-year orders for Digit 5, tied to performance milestones. GXO is expanding to two more US sites from early 2027 and AGCO will pilot Digit in Kansas in 2027. Digit 5 is due to be shown at CES 2027 and become widely available in late 2027. Its factory, RoboFab in Oregon, is designed to build up to 10,000 robots a year.

Is Agility making money?

Not yet. Emergent reports revenue of just 174,000 dollars in the first half of 2026, mostly from related parties, against losses of 362 million dollars. Like most humanoid makers, Agility is selling a future: thousands of robots rented out under a robot-as-a-service model. That makes AGLT a high-risk stock, and it arrived during a sharp AI stock selloff. This is not investment advice.

Why does this matter for humanoid robots?

It gives the public a way to put a price on humanoids for the first time. Rivals like Figure, Tesla, 1X and Boston Dynamics remain private or inside bigger companies, so AGLT becomes a live scorecard for the whole field. For a wider view, see our ranking of the best humanoid robots of 2026 and our guide to when humanoid robots will really ship.

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