Gemini Pro Latest

Gemini Pro Latest 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
1M
Context window

At a glance.

ProviderGoogle
Familygemini
Released
LicenseProprietary
Context window1M tokens
Max output66K tokens
Modalitiestext, image
Tool callingYes
Reasoning modeNo
Cachingnone
Batch discount50% off

What reuse looks like here.

Not yet profiled

Pricing, context, and capabilities for Gemini Pro Latest 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="gemini-pro-latest",
    input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached)   # confirm reuse

Gemini Pro Latest, answered.

How much does Gemini Pro Latest cost?

Gemini Pro Latest 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 Gemini Pro Latest's context window?

Gemini Pro Latest supports a 1M-token context window with up to 66K output tokens.

Run Gemini Pro Latest with reuse measured.

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