That's NeuralModel catalog

google

Google: Nano Banana (Gemini 2.5 Flash Image)

google/gemini-2.5-flash-image

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

Listed in the OpenRouter catalog as google/gemini-2.5-flash-image, also called Nano Banana, this Google model is described as a generally available image generation system with contextual understanding. The catalog reports text and image input with text and image output, a 32768-token context window, a knowledge cutoff of 2025-01-31, and tuning controls such as seed, temperature, and structured outputs. It publishes measured design-arena results in image, graphic design, and logo categories, plus per-modality pricing meters including cached input and web search. No independent model card was available in this source pack.[1]

Strengths

  • OpenRouter's catalog lists combined text-and-image input with text-and-image output, making it a multimodal generation option.[1]
  • It is marked generally available in the catalog, with generation controls including seed, temperature, top_p, max_tokens, stop, and structured outputs.[1]
  • OpenRouter publishes measured design-arena evaluations for this model in the image, graphic design, and logo categories; exact placements appear in structured tables.[1]

Limitations

  • All evidence comes from a single OpenRouter catalog entry; no independent model card was available, so described capabilities such as contextual understanding are vendor-reported rather than independently verified.[1]
  • The catalog description is truncated, details such as licensing, hardware needs, and safety properties are absent, and the reasoning field is unset; treat these as unknowns and validate against your own image workloads before adoption.[1]

Where to use it

  • Editorial suggestion: teams needing prompt-driven image generation that can also read reference images, since the catalog lists text-plus-image input and output.[1]
  • Editorial suggestion: design-adjacent prototyping in image, graphic design, and logo work, where OpenRouter reports arena evaluations, pending your own quality checks.[1]
  • Editorial suggestion: pipelines that benefit from structured outputs and reproducibility controls like seed, which the catalog lists as supported parameters.[1]

Sources

  1. [1] OpenRouter catalog · Google: Nano Banana (Gemini 2.5 Flash Image)Sources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,...

Specifications

Model ID
google/gemini-2.5-flash-image
Creator
google
Added to OpenRouter
07.10.2025
Context length
32,768
Modality
text+image->text+image
Input modalities
image, text
Output modalities
image, text
Token pricing
No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff
31.01.2025
Expiration date
—

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityNo measurement—
CodingNo measurement—
AgentsNo measurementparameters: structured_outputs
WritingNo measurementoutput: text
ReasoningNo measurement—
Document analysisNo measurement—
VisionNo measurementinput: image
Image generationNo measurementoutput: image
AudioNo measurement—
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

SourceBenchmarkValueGradeData retrieved
Design Arenamodels · graphicdesignwin rate 56.9% · rank 101,167EloCC — below the B band13.11.2026
Design Arenamodels · imagewin rate 55.6% · rank 101,168EloCC — below the B band13.11.2026
Design Arenamodels · logowin rate 51.4% · rank 111,169EloCC — below the B band13.11.2026
How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
Google32,768————100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.