Gemini 2.5 Flash Native Audio Latest
Gemini 2.5 Flash Native Audio Latest is available via Google Gemini with a 1.0M context window and up to 8,192 output tokens. Pricing: $0.3000/1M input tokens, $2.50/1M output tokens.
Gemini 2.5 Flash Native Audio Latest Pricing & Specifications
What is Gemini 2.5 Flash Native Audio Latest?
Gemini 2.5 Flash Native Audio Latest is a large language model by Google Gemini with a 1.0M context window and up to 8,192 output tokens. It costs $0.30 per 1M input tokens and $2.50 per 1M output tokens. Gemini 2.5 Flash Native Audio Latest is available via Google Gemini with a 1.0M context window and up to 8,192 output tokens. Pricing: $0.3000/1M input tokens, $2.50/1M output tokens.
Capabilities
text audio
Gemini 2.5 Flash Native Audio Latest Cost Examples
Short prompt (500 tokens)
$0.000150
Medium prompt (2K tokens)
$0.00060
Long output (4K tokens)
$0.01000
Count tokens for Gemini 2.5 Flash Native Audio Latest
Paste your prompt to see exact token counts and API cost estimates.
Open Token CounterSimilar Models to Gemini 2.5 Flash Native Audio Latest
Frequently Asked Questions
How much does Gemini 2.5 Flash Native Audio Latest cost per token? +
Gemini 2.5 Flash Native Audio Latest costs $0.30 per 1M input tokens and $2.50 per 1M output tokens. For a typical 1,000-token request with a 500-token response, that works out to roughly $0.001550.
What is the context window for Gemini 2.5 Flash Native Audio Latest? +
Gemini 2.5 Flash Native Audio Latest supports a context window of 1,048,576 tokens (1.0M). This determines the maximum combined length of your prompt and conversation history in a single API call.
What is the maximum output length for Gemini 2.5 Flash Native Audio Latest? +
Gemini 2.5 Flash Native Audio Latest can generate up to 8,192 tokens in a single response. If you need longer outputs, you can make multiple API calls and concatenate the results.
Is Gemini 2.5 Flash Native Audio Latest good for coding tasks? +
Gemini 2.5 Flash Native Audio Latest can handle basic coding tasks, but there are models specifically optimized for code generation that may perform better on complex programming problems.