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Documentation Index

Fetch the complete documentation index at: https://docs.oxen.ai/llms.txt

Use this file to discover all available pages before exploring further.

Try Gemini 2.5 Flash Lite Preview in the Workbench

Run this model interactively, tune parameters, and compare outputs.
Model ID: gemini-2-5-flash-lite-preview-09-2025 Gemini 2.5 Flash Lite Preview is a multimodal LLM designed for cost-efficient, high-volume, and latency-sensitive tasks. It excels in rapid processing of large contexts—such as entire codebases or extensive document collections—at a significantly reduced cost compared to other models, while maintaining strong performance in coding, math, science, logic, and high-throughput enterprise operations. Some other noteworthy features of Gemini 2.5 Flash Lite Preview include native support for text, code, image, audio, and video inputs, and a 1 million-token context window, making it suitable for tasks like translation, classification, intelligent routing, and real-time multimodal analysis.
MetricValue
Parameter CountUnknown
Mixture of ExpertsUnknown
Context Length1,000,000 tokens
MultilingualYes
Quantized*Yes
Precision*FP8
*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.

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Example request

Use the Workbench as a request builder: configure parameters for this model in the UI, then open the API tab to copy the exact cURL or Python call.
curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "gemini-2-5-flash-lite-preview-09-2025",
  "messages": [
    {
      "role": "user",
      "content": "Hello, what can you do?"
    }
  ]
}'

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Fetch model details

The models endpoint returns the full model object, including its json_request_schema. 
curl -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/ai/models/gemini-2-5-flash-lite-preview-09-2025

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Request parameters

This model follows the standard OpenAI chat completions request body. See the chat completions reference for the full parameter list.