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CostPerPrompt

Gemini 3.5 Flash Lite API Pricing

Google · context window 1M · prices updated 2026-08-02

Input per 1M tokens
$0.3
Output per 1M tokens
$2.50
Cached input per 1M
$0.03
90% cheaper than fresh input

What real workloads cost on Gemini 3.5 Flash Lite

Workload Per request Per month
1K short requests/day (500 in / 150 out) $0.0005 $15.75
Support chatbot, 500 convs/day (~5K in / 1.4K out per conv) $0.005 $75.00
Document pipeline, 10K docs/day (3K in / 500 out) $0.0022 $645

Model your exact traffic in the API cost calculator — it preloads Gemini 3.5 Flash Lite with caching and batch options.

Cheaper alternatives

Qwen3 VL 30B A3B Thinking Alibaba (Qwen) $0.2 in · $2.40 out Qwen3 30B A3B Thinking 2507 Alibaba (Qwen) $0.2 in · $2.40 out GPT Audio Mini OpenAI $0.6 in · $2.40 out

More Google models

Nano Banana Pro (Gemini 3 Pro Image) Gemini 3.1 Pro Preview Custom Tools Gemini 3.1 Pro Preview Nano Banana Pro (Gemini 3 Pro Image Preview)

Frequently asked questions

› How much does the Gemini 3.5 Flash Lite API cost?

Gemini 3.5 Flash Lite costs $0.3 per million input tokens and $2.50 per million output tokens, with cached input at $0.03 per million (90% cheaper). In practice, a typical short request (500 tokens in, 150 out) costs about $0.0005.

› What does 1,000 requests per day cost on Gemini 3.5 Flash Lite?

At 500 input + 150 output tokens per request, 1,000 requests/day costs about $15.75 per month. Heavier workloads scale linearly — use our API cost calculator to model your exact traffic.

› How can I reduce Gemini 3.5 Flash Lite costs?

Three levers, in order of impact: (1) route routine requests to a cheaper tier and keep Gemini 3.5 Flash Lite for hard cases; (2) enable prompt caching — cached input is 90% cheaper, which typically halves chatbot bills; (3) use the batch API for non-urgent jobs at a ~50% discount.

› Is Gemini 3.5 Flash Lite worth the price?

It depends on task difficulty. Flagship models earn their premium on complex reasoning, coding, and high-stakes output; mini/flash tiers handle classification, extraction and routine chat at 10–30× lower cost. Benchmark a sample of your real workload on both before committing.