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gemma-3-27b-it

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

ReasoningTool calling
Try gemma-3-27b-itCompareDocs

Specifications

Context window128K tokens
Max output8K tokens
API typechat
AddedJun 16, 2026
Model IDnebius/google/gemma-3-27b-it
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

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 400+ other models too.

Access gemma-3-27b-it through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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