vertex_ai-language-modelsunavailablesupports_function_callingsupports_parallel_function_callingsupports_pdf_inputsupports_prompt_cachingsupports_reasoningsupports_response_schemasupports_system_messagessupports_tool_choicesupports_url_contextsupports_visionsupports_web_search

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Vertex Ai-Language-ModelsReference only — not currently available on AvalAI

gemini-2.5-flash-lite-preview-06-17 API on AvalAI

gemini-2.5-flash-lite-preview-06-17

gemini-2.5-flash-lite-preview-06-17 is an AI model from Vertex Ai-Language-Models that is not currently available on AvalAI; this page is retained as a technical reference.

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Price display scale

Input price$0.10 / 1M tokens

Output price$0.40 / 1M tokens

Context window1,048,576 tokens

Maximum output65,535 tokens

Note

This page is retained for reference and comparison. Choose an available model from the model catalog before integrating.

Capabilities and endpoints

• Function calling
• Parallel function calling
• PDF input
• Prompt caching
• Reasoning
• Structured output
• System messages
• Tool choice
• URL context
• Vision
• Web search

Endpoints

• /v1/chat/completions
• /v1/completions
• /v1/batch

Frequently asked questions

What is the gemini-2.5-flash-lite-preview-06-17 API on AvalAI?

gemini-2.5-flash-lite-preview-06-17 is not currently callable through AvalAI; this page provides reference specifications only.

How much does the gemini-2.5-flash-lite-preview-06-17 API cost on AvalAI?

gemini-2.5-flash-lite-preview-06-17 is not currently callable through AvalAI; the recorded reference price is $0.10 per 1M input tokens and $0.40 per 1M output tokens.

What is the token cost for gemini-2.5-flash-lite-preview-06-17?

Current AvalAI pricing for gemini-2.5-flash-lite-preview-06-17 is $0.10 / 1M tokens for input and $0.40 / 1M tokens for output.

What is the gemini-2.5-flash-lite-preview-06-17 context window?

The recorded maximum input context for gemini-2.5-flash-lite-preview-06-17 is 1,048,576 tokens.

What features does gemini-2.5-flash-lite-preview-06-17 support on AvalAI?

gemini-2.5-flash-lite-preview-06-17 on AvalAI supports Function calling, Parallel function calling, PDF input, Prompt caching, Reasoning, Structured output, System messages, Tool choice, URL context, Vision, Web search.

Third-party data and freshness

• Pricing, availability, endpoints, and rate limits: AvalAI structured data (authoritative)