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Google/operational

Google: Gemma 3 27B

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

Input / output per 1M

$0.08/$0.35

Get an API key
function-callingreasoningvisionopen weights

131K

Context window

tokens

118K

Max output

tokens per reply

72ms

Time to first token

p50, EU region

$0.35

Output price

per 1M tokens

Fit

Where this model earns its place

function calling

Tool use and structured output — dependable JSON for agent loops, RAG pipelines, and workflow automation.

reasoning

Multi-step reasoning — planning, quantitative analysis, and problems that need deliberation rather than recall.

vision

Image input — screenshots, scanned documents, charts, and photographed forms, without a separate OCR step.

Data handling

Requests are processed in the EU. Prompts are not used for training, and logs follow the retention period in your contract — zero-retention is available on request.

Specifications

Model

Model ID
google/gemma-3-27b-it
Provider
Google
Context length
131K
Max output
118K
Modality
text + image
Licence
Open Weight

Commercial

Input
$0.08
Output
$0.35
Cached input
$0.04
Deployment
serverless
Availability
operational
Last updated
2026-10-26

Cost

What a month actually costs

WorkloadInput tokensOutput tokensMonthly cost
Prototype1.0M250K$0.17
Production50.0M12.0M$8.20
At scale500.0M120.0M$82.00

Illustrative volumes at list price, excluding cached-input discounts and any committed-use agreement. Your invoice shows the same rates, itemised per key.

Cheaper by caching

Repeated prompts — system instructions, retrieved context, few-shot examples — are billed at the cached-input rate where the model supports it. On long system prompts this is typically the largest single line-item saving.

API

Same SDK, different base URL

cURL

curl https://api.itciphtech.com/v1/chat/completions \
  -H "Authorization: Bearer $CIPHER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemma-3-27b-it",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

TypeScript

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.itciphtech.com/v1",
  apiKey: process.env.CIPHER_API_KEY,
});

const res = await client.chat.completions.create({
  model: "google/gemma-3-27b-it",
  messages: [{ role: "user", content: "Hello!" }],
});

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