Nano Banana (Gemini 2.5 Flash Image) API33K context

Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go).

What is Nano Banana (Gemini 2.5 Flash Image)?

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,...

Nano Banana (Gemini 2.5 Flash Image) on the release timeline

Nano Banana (Gemini 2.5 Flash Image) pricing

Pay-as-you-go on DataLLM Lab — these are our live list prices (identical to the pricing page):

On output price, Nano Banana (Gemini 2.5 Flash Image) is cheaper than 36% of the 309 models in the catalog. It is served by 2 providers; the best combined rate at our last snapshot was ≈ $0.30 / $2.50 per 1M via Google AI Studio.

What Nano Banana (Gemini 2.5 Flash Image) costs per month

Cost = input price × input volume + output price × output volume. The same five workloads run on every model page, so any two compare directly.

Nano Banana (Gemini 2.5 Flash Image) vs alternatives

Specs

How to call Nano Banana (Gemini 2.5 Flash Image)

Copyfrom openai import OpenAI
client = OpenAI(base_url="https://api.datallmlab.com/v1", api_key="YOUR_DATALLM_LAB_KEY")
resp = client.chat.completions.create(
    model="google/gemini-2.5-flash-image",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

Copycurl https://api.datallmlab.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/gemini-2.5-flash-image","messages":[{"role":"user","content":"Hello"}]}'

Copyimport OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.datallmlab.com/v1", apiKey: process.env.DATALLM_KEY });
const r = await client.chat.completions.create({
  model: "google/gemini-2.5-flash-image",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);

The same key routes Nano Banana (Gemini 2.5 Flash Image) and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.

Prompting tips for Nano Banana (Gemini 2.5 Flash Image)

• Be explicit and show the shape of the answer. Spell out format, tone and constraints up front, and include one short example of the output you want — Nano Banana (Gemini 2.5 Flash Image) follows concrete instructions better than abstract ones.
• It reads images. Send image parts alongside your text and ask for specific outputs (named JSON fields, a table, "what changed") rather than "describe this".
• Constrain JSON with a schema. Use response_format / structured outputs rather than "reply in JSON" to get valid, parseable objects every time.

Tips are derived from Nano Banana (Gemini 2.5 Flash Image)'s actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.

Open-source tools for Nano Banana (Gemini 2.5 Flash Image)

Popular open-source frameworks and agents to build with Nano Banana (Gemini 2.5 Flash Image) over the API — star counts pulled from GitHub (July 2026).

Listed by GitHub stars; inclusion is by ecosystem relevance (agent frameworks, SDKs and gateways), not affiliation. Stars change — see each repo for current numbers.

Migrating to Nano Banana (Gemini 2.5 Flash Image)

Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → google/gemini-2.5-flash-image. Messages, streaming and the rest of your code stay the same. Routing & failover guide.

Rate limits & reliability

Rate limits here are the DataLLM Lab gateway's, not the upstream vendor's. On 429 (rate limited) or 503 (provider busy), retry with exponential backoff; because Nano Banana (Gemini 2.5 Flash Image) is served by 2 providers, requests can fail over to a healthy one automatically. See the error-code guide and failover setup.

Related reading

Frequently asked questions