Requesty
Parasail

gemma-4-26B-A4B-it

Gemma 4 26B A4B is a Mixture of Experts model from Google DeepMind built for scalable performance with a 256K context window. Supports text and image input, native thinking mode, function calling, and 140+ languages. Ideal for long context RAG, agentic workflows, coding, and multimodal understanding.

VisionReasoningTool callingCachingJSON schema
Try gemma-4-26B-A4B-itCompareDocs

Specifications

Context window262K tokens
Max outputN/A
API typechat
AddedMay 25, 2026
Model IDparasail/google/gemma-4-26B-A4B-it
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US
Privacy policyParasail 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 Parasail models overview.

Pricing

Input / 1M
$0.13
Output / 1M
$0.40
Cache write
N/A
Cache read / 1M
$0.05
Estimated cost
100K input + 10K output$0.0170
1M input + 100K output$0.17
10M input + 1M output$1.70

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 parasail/google/gemma-4-26B-A4B-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="parasail/google/gemma-4-26B-A4B-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-4-26B-A4B-it cost?
gemma-4-26B-A4B-it is priced at $0.13 per million input tokens and $0.40 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of gemma-4-26B-A4B-it?
gemma-4-26B-A4B-it has a context window of 262K tokens. That's roughly 350 words of input you can fit in a single prompt.
What can gemma-4-26B-A4B-it do?
gemma-4-26B-A4B-it supports vision input, tool calling, extended reasoning, prompt caching, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use gemma-4-26B-A4B-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/google/gemma-4-26B-A4B-it". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run gemma-4-26B-A4B-it through Requesty?
Yes. gemma-4-26B-A4B-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/google/gemma-4-26B-A4B-it", and requests are routed to the upstream provider with automatic failover. The same key gives you 400+ other models too.

Access gemma-4-26B-A4B-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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