Speed
Output tokens / second
Custom pricing for production workloads
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts open model from Google.
Gemma 4 26B A4B IT is Google's instruction-tuned Mixture-of-Experts open model, handling text and image input.
google/gemma-4-26b-a4b-it-maashttps://api.aimlapi.com/v1Gemma 4 26B A4B IT is a multimodal model from Google that handles text and image input and generates text output. The model ID is `gemma-4-26b-a4b-it-maas` in Google’s Gemini Enterprise Agent Platform.
| Developer | |
|---|---|
| Model ID | google/gemma-4-26b-a4b-it-maas |
| Release Date | June 22, 2026 |
| Context Window | 262,144 tokens (~262K) |
| Max Output Tokens | 128,000 tokens |
| Modalities | Image, Text → Text |
| Capabilities | file input, parallel tool calls, streaming, structured (JSON schema) output, tool/function calling, vision |
Model identity
Google lists the exact managed model name as Gemma 4 26B A4B IT and the model ID as `gemma-4-26b-a4b-it-maas`.
Modalities
The model supports text input and image input; audio and video are not supported in the listed model card.
Capabilities
Google documents support for function calling and structured output, while thinking is not supported.
Deployment status
The model is marked as Experimental in Google’s platform documentation.
Multimodal assistants
Google and NVIDIA describe it as suitable for text-and-image assistant workflows.
Structured application outputs
The documented structured output support makes it suitable for applications that need controlled, machine-readable responses.
Tool-enabled workflows
Google documents function calling support, which fits agentic and tool-using integrations.
Document and image understanding
The model is presented as useful for image-based and multimodal understanding tasks.
Gemma 4 26B A4B
Google’s model page identifies the same family without the IT suffix as a related option in the platform catalog.
Sources: https://lmstudio.ai/models/google/gemma-4-26b-a4b · https://www.reddit.com/r/LocalLLaMA/comments/1sihwo8/gemma_4_26b_a4b_is_still_fully_capable_at/ · https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/maas/google/gemma-4-26b-a4b-it
Gemma 4 26B A4B IT is documented as suited for advanced reasoning in IDEs, coding assistants, and agentic workflows.
It is also documented for multimodal assistants and document and image understanding workflows.
The model is documented for video understanding workflows as well.
It is also documented for multilingual conversational applications.
See how Gemma 4 26B A4B IT compares in generation speed and latency. Data retrieved Nov 3, 2026.
Output tokens / second
Compare 10 models available on AI/ML API across 5 independent benchmarks.
Expert-written questions across academic subjects.
Graduate-level science questions written to resist web search.
Reasoning across long documents of about 100k tokens.
Python coding tasks drawn from scientific research.
Following precise instructions about the shape of the answer.
| Usage | Price | Unit |
|---|---|---|
| Input | $0.15 | 1M tokens |
| Output | $0.6 | 1M tokens |
| Cached input | $0.15 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.15 | $0.6 | |
| $0.3 | $2.5 | |
| $0.75 | $3.75 | |
| $0.75 | $3.75 | |
| $2 | $10 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "google/gemma-4-26b-a4b-it-maas",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "google/gemma-4-26b-a4b-it-maas",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "google/gemma-4-26b-a4b-it-maas",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Gemma 4 26B A4B IT has a 262,144 tokens context window and can return up to 128,000 tokens.
Gemma 4 26B A4B IT takes image, text as input and returns text.
Use google/gemma-4-26b-a4b-it-maas as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Gemma 4 26B A4B IT became available on June 23, 2026.
Gemma 4 26B A4B IT costs $0.15 input and $0.6 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Yes, Gemma 4 26B A4B IT can stream responses as they are generated.
Yes, Gemma 4 26B A4B IT accepts image input alongside text.
Gemma 4 26B A4B IT was built by Google.
Yes, it supports tools, parallel tool calls, and structured output.