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gemma-3-27b-it

Google mid-size model optimized for high-quality instruction following, coding, and multilingual performance.

ReasoningTool calling
CompareDocs

Specifications

Context window128K tokens
Max output8K tokens
API typechat
AddedJun 16, 2026
Model ID
Data retentionNo
Used for trainingNo
Provider location🇪🇺 EU
Privacy policyNebius Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model. Check the base model page or the Nebius AI models overview.

Pricing

Prices updated August 1, 2026
Input / 1M
$0.10
Output / 1M
$0.30
Cache write
N/A
Cache read
N/A
Estimated cost
100K input + 10K output$0.0130
1M input + 100K output$0.13
10M input + 1M output$1.30

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to nebius/google/gemma-3-27b-it.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="nebius/google/gemma-3-27b-it",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

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Frequently asked questions

How much does gemma-3-27b-it cost?
gemma-3-27b-it is priced at $0.10 per million input tokens and $0.30 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of gemma-3-27b-it?
gemma-3-27b-it has a context window of 128K tokens, with a maximum output of 8K tokens per response. That's roughly 171 words of input you can fit in a single prompt.
What can gemma-3-27b-it do?
gemma-3-27b-it supports tool calling, extended reasoning. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use gemma-3-27b-it with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "nebius/google/gemma-3-27b-it". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run gemma-3-27b-it through Requesty?
Yes. gemma-3-27b-it runs through Requesty's OpenAI-compatible API, served from Nebius AI. You do not host the model yourself: point base_url at Requesty, set the model to "nebius/google/gemma-3-27b-it", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Access gemma-3-27b-it through Requesty

One API key, 600+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

All Nebius AI models