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GGemini 2.5 Flash LiteAPI

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency.

1MContext window · tokens
$0.1Input price · per M tokens
$0.4Output price · per M tokens
GoogleProvider

Prices update automatically — checked daily against provider list prices.

See open-source alternatives → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Gemini 2.5 Flash Lite, measured by Artificial Analysis. Higher is better. Measurement mode: Non-reasoning.

Intelligence index6.7
Math index35.3
GPQA47.4%
MMLU-Pro72.4%
Humanity's Last Exam3.7%
Long Context Reasoning32%
LiveCodeBench40%
SciCode17.7%
MATH-50092.6%
AIME50%
AIME 202535.3%
IFBench31.5%
τ²-Bench19%
Terminal-Bench Hard2.3%
💰 Blended price$0.175 / 1M tokens
📈 Value38.3 intelligence points per $
vs. models measured heretop 93%
Scores higher than 7% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $0.24 per 1M tokens (median of 21) — this one costs $0.18.
Cheaper and better on this index: GLM 5.3 Flash · DeepSeek V4 Flash 0731 · DeepSeek V4 Flash 0423 and 27 more
Benchmark data by Artificial Analysis

About this model

Gemini 2.5 Flash Lite is a commercial AI model by Google. The specifications below are tracked automatically: pricing is refreshed daily from public list prices, so the numbers on this page reflect the current cost of using the model through its API.

Frequently asked questions

What is Gemini 2.5 Flash Lite?

Gemini 2.5 Flash Lite is an AI language model from Google. It is a proprietary model, available through an API. It scores 6.7 on the Artificial Analysis intelligence index.

Is Gemini 2.5 Flash Lite free?

Gemini 2.5 Flash Lite is not free: it costs $0.1 per million input tokens and $0.4 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is Gemini 2.5 Flash Lite good at?

Independent benchmarks from Artificial Analysis give it GPQA 47.4%, MMLU-Pro 72.4%, Humanity's Last Exam 3.7%, Long Context Reasoning 32%, LiveCodeBench 40%, SciCode 17.7%, MATH-500 92.6%, AIME 50%, AIME 2025 35.3%, IFBench 31.5%, τ²-Bench 19%, Terminal-Bench Hard 2.3%. It is particularly used for mathematical reasoning.

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