Requesty

gemma3-27b-it

Parasail/🇺🇸 US/chat

Gemma 3 1B is the smallest of the new Gemma 3 family. It handles context windows up to 32k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities, including structured outputs and function calling. Note: Gemma 3 1B is not multimodal. For the smallest multimodal Gemma 3 model, please see [Gemma 3 4B](google/gemma-3-4b-it)More
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Which id to call

parasail/gemma3-27b-it

This exact deployment on Parasail, with no routing and no failover. Send it as the model field.

Input /1M

$0.30

Parasail

Output /1M

$0.50

1.7x input

Context

128K

8K output

Added

Mar 2025

chat

Capabilities 2/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What gemma3-27b-it costs

Provider prices per 1M tokens, updated August 31, 2026.more

These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.

Input /1M

$0.30

Output /1M

$0.50

Cache write /1M

-

Cache read /1M

-

What a workload costs

100K input + 10K output
$0.0350
1M input + 100K output
$0.35
10M input + 1M output
$3.50

At the rates above. This endpoint does not offer prompt caching, so repeated context is billed as new input every time.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to parasail/gemma3-27b-it. Existing OpenAI SDK code needs no other edit.

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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="parasail/gemma3-27b-it", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Reference

Specs and data terms

What the catalog reports for this deployment, and what the provider does with the traffic.

Context window128K tokens
Max output8K tokens
API typechat
AddedMar 2025
Model id
Data retentionNone
Used for trainingNo
Served from🇺🇸 US

Public leaderboards

Benchmark scores

Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.

No benchmarks are published for this exact variant yet.

Region-specific deployments and highspeed tiers usually share scores with their base model. Try the base model page or the Parasail models overview.

Same provider

More from Parasail

Newest first, on the same provider and the same key.

Reference

gemma3-27b-it questions

How much does gemma3-27b-it cost?

gemma3-27b-it is priced at $0.30 per million input tokens and $0.50 per million output tokens when accessed via Requesty. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

What is the context window of gemma3-27b-it?

gemma3-27b-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 gemma3-27b-it do?

gemma3-27b-it supports tool calling, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.

How do I use gemma3-27b-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 "parasail/gemma3-27b-it". The Quickstart above shows Python, JavaScript and cURL snippets.

Can I run gemma3-27b-it through Requesty?

Yes. gemma3-27b-it runs through Requesty's OpenAI-compatible API, served from Parasail. You do not host the model yourself: point base_url at Requesty, set the model to "parasail/gemma3-27b-it", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Call gemma3-27b-it through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.

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