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GGemini 3 Flash PreviewAPI

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance.

1MContext window · tokens
$0.5Input price · per M tokens
$3Output 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 3 Flash Preview, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.

Intelligence index38.7
Math index97
GPQA89.8%
MMLU-Pro89%
Humanity's Last Exam36.6%
Long Context Reasoning73%
LiveCodeBench90.8%
SciCode50.6%
AIME 202597%
IFBench78%
τ²-Bench80.4%
τ-Bench Banking20.8%
Terminal-Bench Hard38.6%
💰 Blended price$1.125 / 1M tokens
📈 Value34.4 intelligence points per $
vs. models measured heretop 30%
Scores higher than 70% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $1.35 per 1M tokens (median of 25) — this one costs $1.13.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash · Gemini 3.7 Flash (batch) and 21 more
Benchmark data by Artificial Analysis

About this model

Gemini 3 Flash Preview 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 3 Flash Preview?

Gemini 3 Flash Preview is an AI language model from Google. It is a proprietary model, available through an API. It scores 38.7 on the Artificial Analysis intelligence index.

Is Gemini 3 Flash Preview free?

Gemini 3 Flash Preview is not free: it costs $0.5 per million input tokens and $3 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is Gemini 3 Flash Preview good at?

Independent benchmarks from Artificial Analysis give it GPQA 89.8%, MMLU-Pro 89%, Humanity's Last Exam 36.6%, Long Context Reasoning 73%, LiveCodeBench 90.8%, SciCode 50.6%, AIME 2025 97%, IFBench 78%, τ²-Bench 80.4%, τ-Bench Banking 20.8%, Terminal-Bench Hard 38.6%. It is particularly used for mathematical reasoning.

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