Wednesday, 23 September 2026 | Updating Daily AI insight, written for builders

Gemini 3.8 Flash

Gemini 3.8 Flash — Specifications

Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated

Desenvolvedor Google
Tipo Rápido / geral
Modalidade Text, Image, Video, Audio, PDF → Text
Parâmetros Não divulgado
Janela de contexto 1 milhão
Saída máxima 65 mil
Licença Proprietário
Pesos abertos Não
Lançado 2026-09
Preço da entrada $0.75 /1M
Preço da saída $3.75 /1M
Provedores de API Gemini API (Google AI Studio), Android Studio, Gemini Enterprise

Benchmarks

Google-reported HLE-Verified 54.9%. Prices are introductory until 31 Dec 2026.

Página oficial →

What is Gemini 3.8 Flash?

Gemini 3.8 Flash is Google’s fast, low-cost Gemini model, released on 2 September 2026. Google calls it its best reasoning and coding model yet at the speed and low cost of 3.7 Flash, with gains in software engineering, agentic tasks and multi-step reasoning; it reports 54.9% on HLE-Verified. A separate Gemini 3.8 Flash Cyber variant for vulnerability detection is restricted to vetted security teams.

O preço da API é $0.75 per million input tokens and $3.75 output — an introductory price that Google says expires on 31 December 2026, and half of Gemini 3.6 Flash’s $1.50 / $7.50. Per Google’s API documentation (model code gemini-3.8-flash) it accepts text, images, video, audio and PDF, takes up to 1,048,576 input tokens and returns up to 65,536, and supports thinking levels, function calling, structured output, code execution, search grounding and caching. It does not generate images or audio.

In the Gemini app it is available to Google AI Pro and Ultra subscribers; Google’s plan page still lists Gemini 3.6 Flash for the free plan. It is also in AI Mode in Google Search, Google Sheets and Gemini Enterprise.

Gemini 3.8 Flash pricing: API cost per 1M tokens

Entrada (por 1 milhão de tokens)$0.750
Saída (por 1 milhão de tokens)$3.75
Razão saída/entrada
Misturada (4:1 entrada:saída)$1.35 por 1 milhão de tokens

What Gemini 3.8 Flash costs per month

Gasto mensal real com uma proporção de entrada para saída de 4:1 — a razão efetivamente gerada por cargas de trabalho típicas de chat ou RAG.

Carga de trabalhoTokens/mêsCusto por mês
Projeto paralelo 1 milhão de tokens de entrada / 0,25 milhão de tokens de saída $1.69
Equipe pequena 20 milhões de tokens de entrada / 5 milhões de tokens de saída $34
Produção 200 milhões de tokens de entrada / 50 milhões de tokens de saída $338

Calcule seus próprios números na Calculadora de custos de API de IA.

Cheaper alternatives to Gemini 3.8 Flash

ModeloCusto médio ponderado por US$ 1 milhãoVocê economiza
Mistral 7B aberta $0.0220 98% cheaper
Llama 3.1 8B aberta $0.0220 98% cheaper
Mistral NeMo 12B aberta $0.0240 98% cheaper

Perguntas frequentes

How much does Gemini 3.8 Flash cost per 1M tokens?

Gemini 3.8 Flash costs $0.750 per 1M input tokens and $3.75 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $1.35 per 1M tokens.

How much does Gemini 3.8 Flash cost per month?

A small-team workload of 20M input and 5M output tokens a month costs about $34 on Gemini 3.8 Flash. A side project (1M in / 0.25M out) costs roughly $1.69.

What is a cheaper alternative to Gemini 3.8 Flash?

Mistral 7B is the strongest cheaper option in our database at $0.0220 per 1M blended — about 98% less than Gemini 3.8 Flash. It is also open-weight, so self-hosting is an option.

Can I run Gemini 3.8 Flash locally?

No. Gemini 3.8 Flash is a closed, API-only model — the weights are not released, so it cannot be self-hosted.

Why does Gemini 3.8 Flash charge more for output than input?

Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. Gemini 3.8 Flash charges 5× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.

Veja todos os modelos Gemini com preços comparados lado a lado: Preços da API Gemini.

Os preços correspondem às tarifas listadas oficialmente para a API principal do modelo e são revisados conforme os provedores os atualizam. Descontos por volume, processamento em lote ou entradas em cache não estão incluídos. Compare todos os modelos lado a lado na Banco de dados de modelos de IA ou o Ranking de LLMs.

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