Google: Gemma 2 27B

Open Gemma instruction model for efficient chat and self-hosted deployments

Model lab: Google
Model family: gemma

Modalitiestext → text

Context window8,192

Maximum output2,048

InputUSD 0.52 / 1M tokens

OutputUSD 0.52 / 1M tokens

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Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to google/gemma-2-27b-it.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "google/gemma-2-27b-it"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Gemma 2 27B API Pricing

Type	Price information
Input	USD 0.52 / 1M tokens
Output	USD 0.52 / 1M tokens

Performance

Performance trends

Throughput88.7 tok/sCurrent

Time to first token1.3 sCurrent

End-to-end latency8.0 sCurrent

Throughput

Current88.7 tok/s

Window average89.2 tok/s

Time to first token

Current1.3 s

Window average1.4 s

End-to-end latency

Current8.0 s

Window average7.5 s

Tail latency (P99)

Current32.5 s

Window average17.1 s

Prompt cache hit rate

Current18.5%

Window average24.6%

Error rate

Current0.0%

Window average0.1%

Availability

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

Gemma 2 27B Compare models

Model	Input price	Output price	Context window	Capabilities
Gemma 2 27BThis page	USD 0.52 / 1M tokens	USD 0.52 / 1M tokens	8,192	Text output
Gemma 4 12B IT	USD 0.04 / 1M tokens · Context ≤ 131072 tokens · Maximum output 32768 tokens · Maximum input 131072 tokens	USD 0.2 / 1M tokens · Context ≤ 131072 tokens · Maximum output 32768 tokens · Maximum input 131072 tokens	262,144	Text output · Reasoning · Tool calling
Gemma 4 26B A4B IT	USD 0.0336 / 1M tokens	USD 0.176 / 1M tokens	262,144	Text output · Reasoning · Tool calling
Gemma 4 31B IT	USD 0.08 / 1M tokens	USD 0.2 / 1M tokens	262,144	Text output · Reasoning · Tool calling
Gemma 4 E2B IT	USD 0.032 / 1M tokens	USD 0.064 / 1M tokens	131,072	Text output · Reasoning · Tool calling

Model specifications

Input: text
Output: text
Context window: 8,192
Maximum output: 2,048
Release date: 2024-07-13
Attachments: No
Reasoning: No
Tool calling: No
Structured output: Yes
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is Gemma 2 27B for?

Open Gemma instruction model for efficient chat and self-hosted deployments

What inputs and outputs does Gemma 2 27B support?

Recorded inputs: text; outputs: text.

How is Gemma 2 27B priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.52 / 1M tokens; Output USD 0.52 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Gemma 2 27B?

Current model records list Context window 8,192 tokens; Maximum output 2,048 tokens.

What model parameter does the Quickstart use?

The example uses google/gemma-2-27b-it. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.