Google · none caching

Gemini Omni Flash Preview

Gemini Omni Flash Preview on Zumik: live pricing, context, and caching, routable by id or alias through one OpenAI-compatible endpoint.

Call it through Zumik About Google Gemini

$1.50

Input / 1M tokens

$17.50

Output / 1M tokens

$1.50

Cache read

131K

Context window

Specifications

At a glance.

Provider	Google
Family	gemini
Released	2026-06
License	Proprietary
Context window	131K tokens
Max output	66K tokens
Modalities	text, image, video
Tool calling	No
Reasoning mode	Yes
Caching	none
Batch discount	50% off

Measured by Zumik

What reuse looks like here.

Not yet profiled

Pricing, context, and capabilities for Gemini Omni Flash Preview 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.

Reuse economics

What you actually pay once caching works.

At a typical 55% prefix reuse, a million input tokens on Gemini Omni Flash Preview effectively costs $1.50 instead of $1.50 - blending to roughly $5.50 with a 25% output share. Background work drops a further 50% on the batch tier.

Estimate it for your workload

Best for

Route it directly by id, or let an alias pick it when it wins under policy.

Call it

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-omni-flash-preview",
    input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached)   # confirm reuse

Frequently asked

Gemini Omni Flash Preview, answered.

How much does Gemini Omni Flash Preview cost?

Gemini Omni Flash Preview is $1.50 per million input tokens and $17.50 per million output tokens through Zumik. Cache reads are $1.50 per million, a 0% discount on input.

What is Gemini Omni Flash Preview's context window?

Gemini Omni Flash Preview supports a 131K-token context window with up to 66K output tokens.

Does Gemini Omni Flash Preview support prompt caching?

Yes. Google Gemini uses Implicit context caching caching. In the Zumik corpus, Gemini Omni Flash Preview shows a median cache capture of 76% on agent workloads.

Run Gemini Omni Flash Preview with reuse measured.

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

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