Nano Banana Pro

Nano Banana Pro on Zumik: live pricing, context, and caching, routable by id or alias through one OpenAI-compatible endpoint.

Input / 1M tokens
Output / 1M tokens
Cache read
131K
Context window

At a glance.

ProviderGoogle
Familygemini
Released
LicenseProprietary
Context window131K tokens
Max output33K tokens
Modalitiestext, image
Tool callingYes
Reasoning modeNo
Cachingnone
Batch discount50% off

What reuse looks like here.

Not yet profiled

Pricing, context, and capabilities for Nano Banana Pro are live, but it is outside the flagship set Zumik benchmarks in depth, so measured reuse, capture, and warm TTFT are not shown yet. Run a workload estimate or route it by id to start collecting traces.

Same OpenAI client, this model.

python
from openai import OpenAI

client = OpenAI(base_url="https://api.zumik.ai/v1", api_key="zk_live_...")

r = client.responses.create(
    model="nano-banana-pro-preview",
    input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached)   # confirm reuse

Nano Banana Pro, answered.

How much does Nano Banana Pro cost?

Nano Banana Pro is an open-weights model routed through Google Gemini. It is priced on the host's serverless size tier rather than a single published per-token list price, so it shows "—" here until profiled.

What is Nano Banana Pro's context window?

Nano Banana Pro supports a 131K-token context window with up to 33K output tokens.

Run Nano Banana Pro with reuse measured.

Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.