Google: Gemma 4 26B A4b
256K
text, image
text
Supported
About this model
Gemma 4 26B A4B is an efficient, open-weights Mixture-of-Experts (MoE) multimodal model from Google DeepMind. With only 3.8B active parameters out of 25.2B total, it runs nearly as fast as a 4B model while delivering performance close to the 31B dense model. Features a 256K token context window, supports interleaved text and image inputs, and excels at reasoning, coding, and agentic workflows.
Input modalities
text
Accepted as model input
image
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Input tokens
$0.130 / 1M tokens
Output tokens
$0.400 / 1M tokens
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.130 / 1M tokens |
| Output tokens | $0.400 / 1M tokens |
Performance & Benchmarks
Independent evaluations and live cluster operational metrics
- • Optimized for unified API inference
- • High prompt fidelity across structured outputs
General inference, enterprise agent workflows, and conversational pipelines.
Based on data from Artificial Analysis. This analysis was generated by OneInfer and does not represent the views or endorsement of Artificial Analysis.
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
If your balance is too low, before calling the model.
- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl https://api.oneinfer.ai/v1/ula/chat/completions \ -H "Authorization: Bearer $JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "google/gemma-4-26B-A4B-it", "messages": [ { "role": "user", "content": "Hello!" } ] }'
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