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Favicon de openai

OpenAI: GPT-5.4 Mini

openai/gpt-5.4-mini

Comparar

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments.

The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale. GPT-5.4 mini delivers reliable instruction following, solid multi-step reasoning, and consistent performance across diverse tasks with improved cost efficiency.

Modalidades
Preço de entrada / saída
US$ 0,75 / US$ 4,50por 1M
Contexto
400K
Lançado
17 de mar. de 2026
Data limite de conhecimento
ago. de 2025
Comparar
ProvedoresPreçosDesempenhoDisponibilidadeAvaliações de desempenhoAplicativosAtividadePerguntas frequentesExplorar

Provedores

Diferentes empresas hospedam o mesmo modelo. O OpenRouter encaminha sua solicitação para uma delas com base no modo de roteamento que você escolhe — Equilibrado (preço + velocidade), Nitro (mais rápido) ou Floor (mais barato).

Preços

O preço médio que os clientes realmente pagam por este modelo, ao lado dos preços publicados pelos provedores. O cache e os descontos fazem com que o preço efetivamente pago seja frequentemente bem inferior ao preço anunciado.

Desempenho

A vazão indica a velocidade com que o modelo escreve (tokens por segundo — quanto maior, melhor). A latência é o tempo total de ida e volta (quanto menor, melhor). TTFT é o tempo até o primeiro token — quanto tempo leva para você ver algo aparecer (quanto menor, melhor).

Disponibilidade

A disponibilidade é a porcentagem dos últimos 3 dias em que pelo menos um provedor estava respondendo às solicitações. A disponibilidade é a porcentagem de tempo em que a inferência foi realizada com sucesso. O OpenRouter monitora continuamente e usa o próximo melhor provedor quando um deles retorna um erro.

Avaliações de desempenho

Pontuações em avaliações padronizadas e as próprias saídas deste modelo para prompts compartilhados de testes de desempenho. Porcentagens maiores são melhores — e cada posição mostra onde este modelo fica entre os modelos avaliados naquela fonte.

Resumo das pontuações de avaliações comparativas para OpenAI: GPT-5.4 Mini (Artificial Analysis e Vals AI)
FonteAvaliação comparativaPontuação
Artificial AnalysisGPT-5.4 mini (Medium) GPQA Diamond82.3%
Artificial AnalysisGPT-5.4 mini (Medium) HLE18.6%
Artificial AnalysisGPT-5.4 mini (Medium) IFBench64.8%
Artificial AnalysisGPT-5.4 mini (Medium) τ²-Bench Telecom36.5%
Artificial AnalysisGPT-5.4 mini (Medium) AA-LCR67.0%
Artificial AnalysisGPT-5.4 mini (Medium) CritPt2.9%
Artificial AnalysisGPT-5.4 mini (Medium) Terminal-Bench Hard34.1%
Artificial AnalysisGPT-5.4 mini (Xhigh) Coding Index56,1
Artificial AnalysisGPT-5.4 mini (Xhigh) Agentic Index17,9
Artificial AnalysisGPT-5.4 mini (Xhigh) GPQA Diamond87.5%
Artificial AnalysisGPT-5.4 mini (Xhigh) HLE28.1%
Artificial AnalysisGPT-5.4 mini (Xhigh) IFBench73.3%
Artificial AnalysisGPT-5.4 mini (Xhigh) τ²-Bench Telecom83.3%
Artificial AnalysisGPT-5.4 mini (Xhigh) AA-LCR77.0%
Artificial AnalysisGPT-5.4 mini (Xhigh) τ-Bench Banking25.6%
Artificial AnalysisGPT-5.4 mini (Xhigh) GDPval-AA26.1%
Artificial AnalysisGPT-5.4 mini (Xhigh) CritPt10.0%
Artificial AnalysisGPT-5.4 mini (Xhigh) SciCode52.1%
Artificial AnalysisGPT-5.4 mini (Xhigh) Terminal-Bench Hard52.3%
Artificial AnalysisGPT-5.4 mini (Xhigh) Terminal-Bench 4.02.0%
Artificial AnalysisGPT-5.4 mini (Xhigh) Terminal-Bench 2.159.2%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) GPQA Diamond60.6%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) HLE5.9%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) IFBench38.8%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) τ²-Bench Telecom23.4%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) AA-LCR37.0%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) GDPval-AA4.9%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) CritPt0.0%
Artificial AnalysisGPT-5.4 mini (Non-reasoning) Terminal-Bench Hard18.2%
Vals AIGPT 5.4 Mini AIME95.6%
Vals AIGPT 5.4 Mini CaseLaw v251.7%
Vals AIGPT 5.4 Mini Code Migration12.9%
Vals AIGPT 5.4 Mini CorpFin v260.9%
Vals AIGPT 5.4 Mini EMB45.4%
Vals AIGPT 5.4 Mini Finance Agent (v2)45.4%
Vals AIGPT 5.4 Mini GPQA Diamond83.1%
Vals AIGPT 5.4 Mini Harvey's Legal Agent Benchmark v10.0%
Vals AIGPT 5.4 Mini IOI v16.4%
Vals AIGPT 5.4 Mini LiveCodeBench81.5%
Vals AIGPT 5.4 Mini Legal Research Bench12.5%
Vals AIGPT 5.4 Mini MMLU Pro84.6%
Vals AIGPT 5.4 Mini MMMU Pro79.2%
Vals AIGPT 5.4 Mini MortgageTax63.5%
Vals AIGPT 5.4 Mini ProgramBench0.0%
Vals AIGPT 5.4 Mini ProofBench v121.0%
Vals AIGPT 5.4 Mini SAGE v150.8%
Vals AIGPT 5.4 Mini SWE-bench73.0%
Vals AIGPT 5.4 Mini Tax Agent Bench8.8%
Vals AIGPT 5.4 Mini TaxEval v271.2%
Vals AIGPT 5.4 Mini Terminal-Bench 4.02.5%
Vals AIGPT 5.4 Mini Vals Index33.2%
Vals AIGPT 5.4 Mini Vals Multimodal Index54.2%
Vals AIGPT 5.4 Mini Vibe Code Bench v1.148.0%

Aplicativos

Aplicativos públicos que enviam mais tráfego para este modelo. Um bom indicador de como são as cargas de trabalho reais em produção — e uma pista sobre os casos de uso para os quais este modelo é mais adequado.

Atividade

Volume de tokens e tráfego de requisições para este modelo ao longo do tempo.

API

Código pronto para chamar este modelo. A API do OpenRouter é compatível com a OpenAI — a maioria dos SDKs funciona apenas trocando a URL base. A única coisa que muda entre os modelos é o slug do modelo abaixo.

Versões de OpenAI: GPT Mini

Atualmente indisponível por meio do roteamento intrarregional da UE. Documentação de roteamento na região

Explorar mais modelos

Modelos de IA com visão: LLMs multimodais para compreensão de imagensColeçãoClassificações de modelos de IAClassificação
Latência / taxa de transferência
US$ 0,750US$ 4,50US$ 0,07501,28s100 tps
100,00%
US$ 0,750US$ 4,50US$ 0,07500,98s136 tps
100,00%
Não utilizado no roteamento Standard:Por que estes endpoints não são usados
Flex
US$ 0,375US$ 2,25US$ 0,03751,60s44 tps
100,00%
US$ 0,825US$ 4,95US$ 0,08252,69s87 tps
100,00%
Fast
US$ 1,500US$ 9,00US$ 0,15001,36s87 tps
100,00%
Taxa de transferência
136tok/s

P50, melhor entre os provedores

Latência
0,98s

P50, melhor provedor

Avaliações de desempenho do AutoExacto
GPQA DiamondTAU-BenchOpenAI83,8%67,3%
Disponibilidade (3d)O modelo estava acessível. Requisição roteada para um provedor.
100,00%
Disponibilidade (3d)O modelo retornou inferência de qualquer provedor. Erros e respostas vazias contam negativamente para essa métrica.
99,91%

Disponibilidade nos últimos 3 dias

Últimas 72 horas
Disponibilidade 99,91%
Há 3 diasHá 2 diasOntemAgora

Disponibilidade nas últimas 24 horas

OpenRouter Availability
99,92%
Without Routing
98,76%

Quando ocorre um erro em um provedor upstream, podemos nos recuperar roteando para outro provedor saudável, se os filtros da sua solicitação permitirem. Você pode acessar os dados de disponibilidade por provedor de forma programática pela API de endpoints. Saiba mais sobre nossas opções de balanceamento de carga e roteamento de provedores.

1.
Favicon de https://nousresearch.com
Hermes Agent
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
28,8Btokens
2.
Favicon de https://git.xtools.tv/ml/ai-copilot-prod
ai-copilot-prod
novo
14,6Btokens
3.
Favicon de https://openclaw.ai/
OpenClaw
OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.
10,7Btokens
4.
Favicon de https://docs.langchain.com/
LangChain
novo
5,17Btokens
5.
Favicon de https://app.cochat.ai/static/cochat-icon-big.png
CoChat
CoChat is an AI research workspace: agents search peer-reviewed literature, verify every source, and organize your findings — from question to cited answer.
4,61Btokens

Perguntas frequentes

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments.

GPT-5.4 Mini custa US$ 0,75/M de tokens de entrada e US$ 4,50/M de tokens de saída, com taxas separadas para Cache Read por US$ 0,075/M tokens.

GPT-5.4 Mini tem uma janela de contexto de 400.000 tokens. Ele aceita até 128.000 tokens de conclusão.

Sim. GPT-5.4 Mini aceita tools e tool_choice para chamadas de função. Também oferece suporte a saídas estruturadas por meio de um esquema JSON em response_format.

GPT-5.4 Mini aceita arquivos como PDFs, imagens e texto como entrada e retorna texto.

GPT-5.4 Mini é disponibilizado por 2 provedores no OpenRouter: OpenAI e Azure. As solicitações são roteadas para o melhor provedor disponível, com alternância automática para os demais em caso de falha, e você pode fixar ou excluir provedores com o roteamento de provedores.

GPT-5.4 Mini foi lançado em 17 de março de 2026. Seu conhecimento vai até 31 de agosto de 2025.

Mais modelos de OpenAI

GPT-6.1 Terra Pro

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 1 / US$ 5
GPT-6.1 Terra Pro (batch)

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 0,50 / US$ 2,50
GPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

TextoContexto de 1,1MUS$ 1 / US$ 5
GPT-6.1 Terra (batch)

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

TextoContexto de 1,1MUS$ 0,50 / US$ 2,50
GPT-6 Luna Decisions

GPT-6 Luna Decisions is GPT-6 Luna served through OpenAI's Decisions API. Instead of generating text, it reads the content passed as state (text, JSON, or images) and returns typed, probabilistic answers to named questions in a single request: the probability of yes for a yes/no question (noul), a probability for every option plus the most likely one (choice), or a probability for every level of an ordered rubric plus the expected score (score).

It is built for classification, routing, moderation, and rubric grading where application code thresholds the returned numbers rather than parsing a chat reply. A request can carry up to 200 questions about the same content.

DecisõesUS$ 0,10 / US$ 0
GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 2 / US$ 10
GPT-6.1 Sol Pro (batch)

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 1 / US$ 5
GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

TextoContexto de 1,1MUS$ 2 / US$ 10
GPT-6.1 Sol (batch)

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

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GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 0,10 / US$ 0,50
GPT-6 Luna Pro (batch)

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 0,05 / US$ 0,25
GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

TextoContexto de 1,1MUS$ 0,10 / US$ 0,50
GPT-6 Luna (batch)

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

TextoContexto de 1,1MUS$ 0,05 / US$ 0,25
GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

TextoContexto de 1,1MUS$ 2 / US$ 10
GPT-6 Sol Pro (batch)

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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GPT-6 Sol

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GPT-6 Sol (batch)

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

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GPT Astra Latest

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GPT Sol Latest

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