MAI-Image-2.5-Pro vs Nano Banana 2: The $108 Editing Crown vs Google's $67 Production Workhorse

Two numbers frame MAI-Image-2.5-Pro versus Nano Banana 2 better than any paragraph. MAI-Image-2.5-Pro, Microsoft's premium image tier in public preview since 23 July 2026, costs roughly $108.50 per 1,000 1024×1024 images — the highest-priced output in its own family. Nano Banana 2, Go​gle's production image model, is about $67 per 1,000 1024×1024 images, generates in well under two seconds, ships native 4K output, and has been generally available since 28 May 2026. One is a freshly launched specialist that tops an independent editing leaderboard; the other is a mature generalist that is faster, cheaper, higher-resolution, and already in GA. Which one you need depends on what you are making, not on which one is "better."

Two slots in the same market

Nano Banana 2 — the consumer-facing name for Go​gle's Gemini 3.1 Flash Image Preview, which is the precise model ID you would call — has been in production since May. It is Go​gle's "generalist workhorse," the model that balances quality, speed, and cost, and it has already been through the preview-to-GA cycle. MAI-Image-2.5-Pro is Microsoft's quality tier, announced alongside MAI-Voice-2-Flash on 23 July and still in public preview on Azure AI Foundry. It is the newest, most expensive, and most editing-focused model in Microsoft's in-house family, which already powers Bing Image Creator, PowerPoint, and OneDrive.

The maturity gap is the quiet variable in this comparison. A model that has survived preview, gone GA, and shipped into a global API has absorbed real-world traffic and rate-limit feedback. A model in preview for under a month has not — and its preview price is not its GA price. Both facts tilt the risk picture toward the Go​gle side before a single image is generated.

The spec sheet, line by line

• Release — MAI-Image-2.5-Pro 23 July 2026 (public preview) vs Nano Banana 2 preview 26 Feb 2026, GA 28 May 2026br />• Image editing rank — No. 1 on Artificial Analysis editing, Elo 1,272 vs No. 8-area on the same board, Elo 1,249br />• Text-to-image rank — No. 7 on Artificial Analysis, Elo 1,292 vs No. 3 on the same board, Elo 1,320br />• Output ceiling — ~1,048,576 pixels (~1K) vs native 4K with extreme aspect ratiosbr />• Speed — no published latency vs sub-1.5 seconds per image (Google-reported, generally corroborated by early users)br />• Price per 1k images — ~$108.50 (1024×1024, AA conversion) vs ~$67 at 1024×1024, ~$45 at 512, ~$101 at 2048, ~$151 at 4096br />• Provenance — Microsoft "no distillation" claim vs SynthID watermarking plus C2PA metadatabr />• Grounding — no public search-grounding feature vs search grounding across web sources

Notice what the two columns do: they beat each other on different boards. MAI-Image-2.5-Pro wins the editing board by 23 Elo; Nano Banana 2 wins the text-to-image board by 28 Elo. The matchup is not "which is stronger" — it is "which kind of strength do you need."

The boards, read carefully

The editing rank is the Pro tier's whole reason to exist. On Artificial Analysis's Image Editing Arena it sits at No. 1 with Elo 1,272, built on roughly 6,100 blind user comparisons — ahead of Reve 2.1, MAI-Image-2.5, and GPT Image 2. The mechanism matters: blind human preference, same input image and instruction, voters pick the stronger result, no vendor script writes the score. That is the closest thing the market has to an independent "people preferred this editor's output" verdict, and it is recent, not a launch-day blip.

Nano Banana 2's claim is the opposite axis: generation. Its 1,320 Elo on the text-to-image board is 28 points clear of the Pro tier, and it carries a long tail of measured strengths — it has led the Image Arena at various snapshots (around 1,280 Elo there), does search grounding, and is fast enough that latency rarely factors into the decision. On the editing board it trails the Pro tier, which is expected: it is not an editing specialist, it is a generalist that edits well enough for most purposes.

Speed and resolution: the gap the scoreboard hides

The leaderboard numbers measure preference, not throughput or pixel budget, and that is where this matchup separates most sharply.

• Resolution — Nano Banana 2 outputs native 4K and supports extreme aspect ratios; the Pro tier's documented API output is capped at 1,048,576 pixels, a 1024×1024-equivalent, despite Microsoft's "8K" marketing phrasing. If a brief demands print-scale or poster-scale resolution, the Go​gle model is the only one of the two that delivers it.

• Speed — Nano Banana 2 generates in under ~1.5 seconds per image at standard sizes, roughly four times faster than its own predecessor. Microsoft publishes no comparable latency figure for the Pro tier, and editing workloads — send an image, get a revision — are inherently heavier than blank-canvas generation. For any workflow that measures per-image seconds, this is not a close call.

Neither of these is visible on an Elo leaderboard, and both matter more than a 23-Elo editing edge for most production pipelines.

Cost, and the resolution wrinkle

On tokens, the two price very differently. MAI-Image-2.5-Pro is $5 per million text input tokens, $8 per million image input tokens, and $106 per million image output tokens. Nano Banana 2 is $0.50 per million input and $3.00 per million output — a 30-to-40× gap on the output token price. In practice image outputs are usually billed per image on the Go​gle side, and the figures land at roughly $67 per 1,000 1024×1024 images for Nano Banana 2 versus $108.50 per 1,000 for the Pro tier.

The wrinkle is resolution. If you actually use Nano Banana 2's 4K output, a 4096×4096 image is about $0.151 — roughly $151 per 1,000 — which crosses the Pro tier's per-1k price. So the cost comparison depends on your output size: at 1K the Go​gle model is cheaper, and at print sizes it is more expensive than the Pro tier's capped 1K. The Microsoft model cannot even accept the comparison at 4K because it will not output there.

Where a router actually matters

This is the matchup where the routing layer earns its keep, because Nano Banana 2 is reachable through OrcaRouter today — one API key, Go​gle's list price passed through at 0% markup, automatic failover across providers so a slow region does not stall a pipeline, and a routing DSL if you want to mix Nano Banana 2 with another model in a single call. The price you see on our side is Go​gle's price, and a cut lands same-day. MAI-Image-2.5-Pro is not yet reachable through a callable third-party endpoint, so it is not on OrcaRouter at the moment; when a hosted provider picks it up, the same pass-through applies to whatever Microsoft charges.

The practical play for a team that wants the editing crown without betting production on it: route a slice of editing traffic to the Pro tier once it is callable, keep Nano Banana 2 as the always-on workhorse for generation and volume, and let failover catch the edge cases a low-vote leaderboard cannot see. Both models behind one key, priced at the vendor's own numbers.

Who should pick which

Choose MAI-Image-2.5-Pro when the job is editing existing images with high fidelity — targeted object replacement, in-image text changes, product hero cleanup — and an independent #1 editing rank plus token-metered control justify the premium. Choose Nano Banana 2 when the job is generation at scale: blank-canvas images, 4K and extreme aspect ratios, latency-sensitive or volume-driven work, and a price that undercuts the Microsoft model at every resolution the Pro tier can output. The one-line decision rule: if you are changing images, Microsoft's editor is currently the one with the crown; if you are making images, Go​gle's workhorse is the one already in production.