Gemini 2.0 Flash-Lite
Specs & Pricing
API pricing per 1M tokens and core technical specificationsCost Calculator
Simulate estimated API usage cost based on your specific traffic and context sizeSimulation Results
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Alternative Models
Models with comparable benchmark score and pricing tier| Model | Provider | Context Window | Max Output | Training Cutoff | Input / 1M | Cache Price / 1M | Output / 1M | Benchmark | Speed | Total |
|---|---|---|---|---|---|---|---|---|---|---|
xAI | 2M | - | - | $0.20 | $0.05 | $0.50 | 73.25 | Blazing Fast | $0.0040 | |
Google | 1M | 65K | 2025-01 | $0.10 | $0.01 | $0.40 | 71.5 | Blazing Fast | $0.0032 | |
OpenAI | 400K | 128K | 2024-05 | $0.05 | $0.005 | $0.40 | 59.75 | Blazing Fast | $0.0017 | |
OpenAI | 1M | 32K | 2024-06 | $0.10 | $0.025 | $0.40 | 59.25 | Blazing Fast | $0.0024 | |
OpenAI | 128K | 16K | 2023-10 | $0.15 | $0.075 | $0.60 | 58.25 | Fast | $0.0040 |
Provider
Benchmark
73.25Speed
Blazing Fast
Training Cutoff
-
Context Window
2M
Max Output
-
Input / 1M
$0.20
Cache Price / 1M
$0.05
Output / 1M
$0.50
Provider
Benchmark
71.5Speed
Blazing Fast
Training Cutoff
2025-01
Context Window
1M
Max Output
65K
Input / 1M
$0.10
Cache Price / 1M
$0.01
Output / 1M
$0.40
Provider
Benchmark
59.75Speed
Blazing Fast
Training Cutoff
2024-05
Context Window
400K
Max Output
128K
Input / 1M
$0.05
Cache Price / 1M
$0.005
Output / 1M
$0.40
Provider
Benchmark
59.25Speed
Blazing Fast
Training Cutoff
2024-06
Context Window
1M
Max Output
32K
Input / 1M
$0.10
Cache Price / 1M
$0.025
Output / 1M
$0.40
Provider
Benchmark
58.25Speed
Fast
Training Cutoff
2023-10
Context Window
128K
Max Output
16K
Input / 1M
$0.15
Cache Price / 1M
$0.075
Output / 1M
$0.60
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Gemini 2.0 Flash-Lite Frequently Asked Questions (FAQ)
Key insights into Gemini 2.0 Flash-Lite API pricing, context capacity, caching savings, and performance benchmarks
Q. What is the API pricing for Gemini 2.0 Flash-Lite? How much does it cost per 1M tokens?＋
Gemini 2.0 Flash-Lite (Google) is priced at $0.0750 per 1 million input tokens and $0.3000 per 1 million output tokens. The output rate is approximately 4.0x higher than the input rate. You can simulate your exact monthly API expenses tailored to your request volume and token length using the calculator above.
Q. What are the context window and maximum output limits of Gemini 2.0 Flash-Lite?＋
Gemini 2.0 Flash-Lite features a 1M context window and a maximum output limit of 8K tokens per request. This massive 1M+ context capacity allows you to process extensive document libraries or entire codebases in a single prompt.
Q. What are the best practices for optimizing API costs with Gemini 2.0 Flash-Lite?＋
Because output tokens ($0.3000/1M) cost significantly more than inputs, always configure a strict max_tokens ceiling and employ structured output schemas. Additionally, pairing Gemini 2.0 Flash-Lite with lightweight models for routine tasks via multi-LLM routing can substantially lower total infrastructure spend.
Q. What is the benchmark score (58.75) and performance profile of Gemini 2.0 Flash-Lite?＋
Gemini 2.0 Flash-Lite achieves an overall benchmark score of 58.75/100 with a "Blazing Fast" speed rating. It is optimized for high-throughput, low-latency applications requiring budget-conscious performance.
Q. Which alternative models are comparable to Gemini 2.0 Flash-Lite?＋
Key alternatives in similar price-to-performance tiers include grok-4-1-fast-non-reasoning, Gemini 2.5 Flash-Lite, GPT-5-nano. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.