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Google: Gemini 2.0 Flash Lite

by Google

Gemini 2.0 Flash Lite offers a significantly faster time to first token (TTFT) compared to [Gemini Flash 1.5](/google/gemini-flash-1.5), while maintaining quality on par with larger models like [Gemini Pro 1.5](/google/gemini-pro-1.5), all at extremely economical token prices.

Avg Score

78.0%

15 answers

Avg Latency

10.4s

11 runs

Pricing

$0.07

input

/

$0.30

output

per 1M tokens

Context

1049K

tokens

Alternatives

Models with similar or better quality but different tradeoffs

No alternatives found

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Other Models from Google

Compare performance with other models from the same creator

ModelScoreLatencyCost/1M
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)94.6%37.7s$7.00
Google: Gemini 3 Pro Preview93.3%20.8s$7.00
Google: Gemini 2.5 Flash Preview 09-202591.3%7.4s$1.40
Google: Gemini 2.5 Pro Preview 05-0691.1%39.7s$5.63
Google: Gemini 3 Flash Preview90.8%5.8s$1.75
Google: Gemini 2.5 Pro88.9%22.4s$5.63
Google: Gemini 2.5 Flash Lite Preview 09-202588.7%5.0s$0.25
Google: Gemini 2.5 Pro Preview 06-0586.3%39.4s$5.63
Google: Gemini 2.5 Flash81.3%8.6s$1.40
Google: Gemini 2.5 Flash Image (Nano Banana)78.9%50.1s$1.40
Google: Gemini 2.5 Flash Lite77.2%6.0s$0.25
Google: Gemini 2.0 Flash Experimental (free)76.3%13.3sFree
Google: Gemini 2.0 Flash76.2%7.0s$0.25
Google: Gemma 3 27B75.4%25.7s$0.09
Google: Gemma 3 27B68.8%31.0sFree
Google: Gemma 3 12B67.5%39.2sFree
Google: Gemma 3 12B64.6%34.6s$0.07
Google: Gemma 3 4B58.1%29.5sFree
Google: Gemma 3n 4B51.3%26.9sFree
Google: Gemma 3n 4B51.1%21.9s$0.03
Google: Gemma 3 4B40.4%27.8s$0.04
Google: Gemma 2 9B36.4%5.7s$0.06
Google: Gemma 2 27B33.9%13.2s$0.65
Google: Gemma 3n 2B (free)32.5%30.6sFree
Google: Gemini 2.5 Flash Image Preview (Nano Banana)——$1.40

Benchmark Performance

How this model performs across different benchmarks

No benchmark data available

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Price vs Performance

Compare cost efficiency across all models

Current model (baseline)
Other models (relative score)
Y-axis shows score difference from shared benchmarks. X-axis uses log scale.

Score Over Time

Performance trends across all benchmark runs

Benchmark Activity

Number of benchmark runs over time

Quickstart

Get started with this model using OpenRouter

View on OpenRouter
import { OpenRouter } from "@openrouter/sdk";

const openrouter = new OpenRouter({
  apiKey: "<OPENROUTER_API_KEY>"
});

const completion = await openrouter.chat.completions.create({
  model: "google/gemini-2.0-flash-lite-001",
  messages: [
    {
      role: "user",
      content: "Hello!"
    }
  ]
});

console.log(completion.choices[0].message.content);

Get your API key at openrouter.ai/keys