google/gemini-3.5-flash-lite

google/gemini-3.5-flash-lite is a budget-tier language model from RouterPlus. google/gemini-3.5-flash-lite is a proprietary model available exclusively through RouterPlus's API. The Gemini 3.5 family is RouterPlus's model series for this capability tier.

google/gemini-3.5-flash-lite is priced at $0.3/1M input tokens and $2.5/1M output tokens. Output tokens are 8.3× more expensive than input tokens — this ratio reflects the sequential nature of autoregressive generation, which requires a separate forward pass per output token versus parallel processing of all input tokens simultaneously. At a typical usage pattern of 1,000 input tokens and 500 output tokens per call, google/gemini-3.5-flash-lite costs approximately $1.55 per 1,000 API calls. Prompt caching reduces repeated input tokens to $0.03/1M — a 90% discount that compounds significantly for applications with long shared system prompts, multi-turn conversations, or document Q&A where the same context is reused across many queries.

Its 1.0M-token context window is among the largest available — sufficient for processing entire codebases, book-length documents, or hours of transcribed audio in a single API call. Maximum output length is 66K tokens — sufficient for long-form content generation, detailed code files, and extended reports.

google/gemini-3.5-flash-lite is best suited to general language tasks. Supported capabilities include function calling / tool use for agentic workflows, streaming token output for real-time UIs. Function calling support makes it suitable for building AI agents, structured data extraction pipelines, and any workflow requiring the model to invoke external APIs or return typed JSON. When evaluating this model for a specific workload, the most important factors are: context window (does your input fit?), output price (how long are your generations?), and latency (is this interactive or batch?). The pricing table above shows how google/gemini-3.5-flash-lite compares to similar models across these dimensions.

google/gemini-3.5-flash-lite sits in the budget tier — the most cost-efficient models, best for high-volume simple tasks, classification, extraction, and applications where cost per call is the primary constraint. Unlike open-weights alternatives, google/gemini-3.5-flash-lite is only available via RouterPlus's API — there is no self-hosted option, which simplifies deployment but creates vendor dependency. When comparing google/gemini-3.5-flash-lite to alternatives, use the similar models section on this page to find models at comparable price points with different capability tradeoffs. The intelligence score (N/A/100) reflects aggregate benchmark performance — a useful proxy for general capability, though real-world performance varies significantly by task type. Always test with your specific prompts and use case before committing to a model for production.