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GPT 4o Mini

GPT-4o-mini: fast, affordable text generation for everyday tasks.

A tradução deste card ainda não está disponível; parte do conteúdo aparece em inglês.

Janela de contexto (tokens)
128.000
Inteligência
6.7
Código
11.4
Velocidade
—–
Custo/tarefa
$0.0033
Sobre este modelo

GPT-4o-mini is a streamlined version of the GPT-4o family, designed for users who need reliable text generation without the overhead of larger models. It excels at tasks that require moderate intelligence and coding support, as reflected in its independent benchmarks (intelligence index 6.7, coding index 11.4).

This model is best for everyday creative projects, such as writing emails, generating social media posts, or drafting short stories. Its low cost (approximately $0.0033 per typical task) and fast output speed make it accessible for high-volume use.

What sets GPT-4o-mini apart is its efficiency: it provides solid performance at a fraction of the cost of larger models, making it a practical choice for users who prioritize speed and budget over maximum depth or complexity.

Melhores casos de uso
  • Drafting emails and messages
  • Brainstorming creative ideas
  • Writing short social media posts
  • Generating simple code snippets
  • Creating outlines and summaries
Pontos fortes
Cost-effective

It delivers strong performance at a very low price per task.

Fast generation

Responses are produced quickly, ideal for real-time use.

Versatile text tasks

Handles a wide range of writing and creative prompts effectively.

Dicas
  • Use for straightforward tasks where speed and cost matter most.
  • Pair with clear, concise prompts for best results.
  • Avoid overloading with multi-step instructions; break them down.
  • Experiment with temperature settings to balance creativity and focus.
Limitações
  • Lower intelligence and coding scores compared to larger models.
  • May struggle with highly complex or nuanced reasoning tasks.
  • Output speed is measured at 0 tokens per second in benchmarks, indicating potential latency in some setups.
Exemplos de geração
Exemplo em breve
Poem generator

Write a short poem about the changing seasons, using vivid imagery of autumn leaves and winter frost.

Exemplo em breve
Product description

Describe a new eco-friendly water bottle in a compelling way for an online store, highlighting its sustainable materials and sleek design.

Exemplo em breve
Recipe creator

Create a simple 3-step recipe for a vegan chocolate mousse using only five ingredients.

Prompts de exemplo
Email draft
Write a professional email to a client confirming a meeting next Tuesday at 3 PM.
Social media post
Create a fun Instagram caption for a photo of a sunset at the beach.
Story idea
Give me a one-paragraph idea for a short story about a robot learning to paint.
Parâmetros
seed

A number that makes output reproducible; same seed and inputs give the same result.

top_p

Limits word choices to a cumulative probability; lower values (e.g., 0.5) produce more predictable text, higher values (e.g., 0.9) allow more variety.

max_tokens

Sets the maximum length of the generated response in tokens (roughly 0.75 words per token).

temperature

Controls randomness: lower values (e.g., 0.2) make output more focused, higher values (e.g., 0.8) make it more creative.

presence_penalty

Encourages the model to talk about new topics by penalizing words already used; higher values (e.g., 0.5) broaden the subject matter.

frequency_penalty

Reduces repetition by penalizing words that appear often; higher values (e.g., 0.5) encourage more diverse language.

Preços
$0.60 por 1M tokens de entrada
$2.40 por 1M tokens de saída

Os preços exibidos são o que você paga na Muitto. Sem surpresas.

Perguntas frequentes

What is GPT-4o-mini best for?

It is best for quick, affordable text generation like drafting, brainstorming, and simple content creation.

How does GPT-4o-mini compare to larger models?

It is faster and cheaper but has lower intelligence and coding scores, making it less suitable for complex tasks.

Can I use GPT-4o-mini for coding?

Yes, for simple code snippets, but it may not handle advanced programming challenges as well as larger models.