Gemma 4 26B A4B (free)
GoogleReleased Apr 3, 2026Free
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...
- Context window
- 262K tokens
- Max output
- 33K tokens
- Input
- image, text, video
- Output
- text
- Tokenizer
- Gemma
- Released
- Apr 3, 2026
- Reasoning
- optional
Pricing
Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.
| Per 1M tokens | Provider | + 3% fee | You pay |
|---|---|---|---|
| Input | Free | — | Free |
| Output | Free | — | Free |
Benchmarks
Artificial Analysis
- Intelligence index
- 25.7
- Coding index
- 39.3
- Agentic index
- 11
Supported parameters
- frequency_penalty
- include_reasoning
- max_tokens
- presence_penalty
- reasoning
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_p
Call it
OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model google/gemma-4-26b-a4b-it:free.
curl https://api.openkey.ai/v1/chat/completions \
-H "Authorization: Bearer $OPENKEY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemma-4-26b-a4b-it:free",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.openkey.ai/v1",
api_key=os.environ["OPENKEY_API_KEY"],
)
completion = client.chat.completions.create(
model="google/gemma-4-26b-a4b-it:free",
messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.openkey.ai/v1",
apiKey: process.env.OPENKEY_API_KEY,
});
const completion = await client.chat.completions.create({
model: "google/gemma-4-26b-a4b-it:free",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);Questions
- How much does Gemma 4 26B A4B (free) cost via API?
- Gemma 4 26B A4B (free) is free through OpenKey while Google offers it at no charge. No fee applies to free models.
- What is Gemma 4 26B A4B (free)'s context window?
- Gemma 4 26B A4B (free) accepts up to 262K tokens of context and returns up to 33K tokens per request.
- Is Gemma 4 26B A4B (free) OpenAI-compatible?
- Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "google/gemma-4-26b-a4b-it:free" using any OpenAI SDK — only the base URL and API key change.
- What inputs does Gemma 4 26B A4B (free) support?
- Gemma 4 26B A4B (free) accepts image, text, video input and produces text output.
More from Google
All Google models →Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...
ctx 66Kin $0.258out $1.54
Nano Banana Pro (Gemini 3 Pro Image)
Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...
ctx 66Kin $2.06out $12.36
Nano Banana 2 (Gemini 3.1 Flash Image)
Gemini 3.1 Flash Image, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines advanced...
ctx 131Kin $0.515out $3.09
Gemini 3.5 Flash
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
ctx 1.0Min $1.54out $9.27