Alex Getmansinais antecipados de IA

GPT-4.1

OpenAI

Lançado Atualizado
Janela de contexto
1M
1.047.576 tokens
Saída máxima
33K
32.768 tokens
Entrada / Saída
texto, imagem → texto

Preços da API

USD / 1 milhão de tokens

EntradaSaídaEntrada em cache
  • $2,00
openai-pricing
  • $8,00
openai-pricing
  • $0,50
openai-pricing

Cronologia

  1. · Disponibilidade na API · link de referência · link de referência · link de referência
  2. · Atualização do produto · link de referência · link de referência
Preço entrada/saída · USD / 1 milhão de tokens
ModeloLinks de referênciaPreço entrada/saída
gpt-4.1
batch
openai
Rota da API indisponível
$1,00 / $4,00
gpt-4.1
fast
openai
Rota da API indisponível
$3,50 / $14,00
gpt-4.1
standard
openai$2,00 / $8,00
openai/gpt-4.1
standard
openrouter$2,00 / $8,00
openai/gpt-4.1:batch
batch
openrouter$1,00 / $4,00
openai/gpt-4.1
standard
vercel-gateway$2,00 / $8,00
openai/gpt-4.1-batch
batch
vercel-gateway$1,00 / $4,00
  1. · Uso confirmado · OpenAI · official articles · Introducing GPT-4.1 in the API
  2. · Links de referência · OpenAI · official articles
    Excerto
    Introducing GPT‑4.1 in the API
  3. · Links de referência · OpenAI · official articles
  4. · Links de referência · OpenAI · official articles
  5. · Links de referência · OpenAI · official articles
    Excerto
    On OpenAI-MRCR, a measure of long-context information retrieval, GPT‑5 outperforms o3 and GPT‑4.1, by a margin that grows substantially at longer input lengths
  6. · Links de referência · OpenAI · official articles
  7. · Entrada no catálogo · GitHub · openai/openai-node · code
    Excerto
    s.openai.com/api/docs/models) for descriptions * of them. */ model?: | (string & {}) | 'gpt-5' | 'gpt-5-mini' | 'gpt-5-nano' | 'gpt-5-2025-08-07' | 'gpt-5-mini-2025-08-07' | 'gpt-5-nano-2025-08-07' | 'gpt-4.1' | 'gpt-4.1-mini' | 'gpt-4.1-nano' | 'gpt-4.1-2025-04-14' | 'gpt-4.1-mini-2025-04-14' | 'gpt-4.1-nano-2025-04-14' | 'o3-mini' | 'o3-mini-2025-01-31' | 'o1' | 'o1-2024-12-17' | 'gpt-4o' | 'gpt-4o-2024-11-20' | 'gpt-4o-2024-08-06' | 'gpt-4o-2024-05-13' | 'gpt-4o-mini' | 'gpt-4o-mini-2024-07-18' | 'gpt-4.5-preview' | 'gpt-4.5-preview-2025-02-27' | 'gpt-4-turbo' | 'gpt-4-turbo-2024-04-09' | 'gpt-4-0125-preview' | 'gpt-4-turbo-preview' | 'gpt-4-1106-preview' | 'gpt-4-vision-preview' | 'gpt-4' | 'gpt-4-0314' | 'gpt-4-0613' | 'gpt-4
  8. · Entrada no catálogo · GitHub · openai/openai-agents-python · code
    Excerto
    dels import get_default_model from ...models.interface import Model, ModelProvider from .litellm_model import LitellmModel # This is kept for backward compatibility but using get_default_model() method is recommended. DEFAULT_MODEL: str = "gpt-4.1" class LitellmProvider(ModelProvider): """A ModelProvider that uses LiteLLM to route to any model provider. You can use it via: ```python Runner.run(agent, input, run_config=RunConfig(model_provider=LitellmProvider())) ``` See supported models here: [litellm models](https://docs.litellm.ai/docs/providers). NOTE: API keys must be set via environment variables. If you're using models that require additional configuration (e.g. Azure API base or version), those must also be set via the environment variables that LiteLLM expects. If you have more advanced needs, we recommend copy-pasting this clas
  9. · Entrada no catálogo · GitHub · openai/codex · code
    Excerto
    ror> { let mode = if PARSE_IN_STRICT_MODE { ParseMode::Strict } else { ParseMode::Lenient }; parse_patch_text(patch, mode) } enum ParseMode { /// Parse the patch text argument as is. Strict, /// GPT-4.1 is known to formulate the `command` array for the `local_shell` /// tool call for `apply_patch` call using something like the following: /// /// ```json /// [ /// "apply_patch", /// "<<'EOF'\n*** Begin Patch\n*** Update File: README.md\n@@...\n*** End Patch\nEOF\n", /// ] /// ``` /// /// This is a problem because `local_shell` is a bit of a misnomer: the /// `command` is not invoked by passing the arguments to a shell like Bash, /// but are invoked using something akin to `execvpe(3)`. /// /// This is significant in this case because where a shell would interpret /// `

    Esta referência no código não confirma um identificador de modelo em uso.

  10. · Entrada no catálogo · GitHub · openai/codex · code
    Excerto
    ror> { let mode = if PARSE_IN_STRICT_MODE { ParseMode::Strict } else { ParseMode::Lenient }; parse_patch_text(patch, mode) } enum ParseMode { /// Parse the patch text argument as is. Strict, /// GPT-4.1 is known to formulate the `command` array for the `local_shell` /// tool call for `apply_patch` call using something like the following: /// /// ```json /// [ /// "apply_patch", /// "<<'EOF'\n*** Begin Patch\n*** Update File: README.md\n@@...\n*** End Patch\nEOF\n", /// ] /// ``` /// /// This is a problem because `local_shell` is a bit of a misnomer: the /// `command` is not invoked by passing the arguments to a shell like Bash, /// but are invoked using something akin to `execvpe(3)`. /// /// This is significant in this case because where a shell would interpret /// `

    Esta referência no código não confirma um identificador de modelo em uso.

  11. · Entrada no catálogo · GitHub · openai/openai-agents-python · code
    Excerto
    `openai/...` と `any-llm/...` のモデル名を混在させる場合は、[`MultiProvider`][agents.MultiProvider] を使用し、そこで `openai_use_responses_websocket=True` を設定します。 `MultiProvider` には、従来からの次の 2 つのデフォルト動作があります。 - `openai/...` は OpenAI プロバイダーのエイリアスとして扱われるため、`openai/gpt-4.1` はモデル `gpt-4.1` としてルーティングされます。 - 不明なプレフィックスはそのまま渡されず、`UserError` が発生します。 リテラルの名前空間付きモデル ID を要求する OpenAI 互換エンドポイントを OpenAI プロバイダーで使用する場合は、パススルー動作を明示的に有効にしてください。WebSocket が有効な設定では、`MultiProvider` にも `openai_use_responses_websocket=True` を維持してください。 ```python from agents import Agent, MultiProvider, RunConfig, Runner provider = MultiProvider( openai_base_url="https://openrouter.ai/api/v1", openai_api_key="...", openai_use_responses_websocket=True, openai_prefix_mode="model_id", unknown_prefix_mode="model_id", ) agent = Agent( name="Assistant", instructions="Be concise.", model="openai/gpt-4.1", ) re

    Esta referência no código não confirma um identificador de modelo em uso.

  12. · Entrada no catálogo · GitHub · openai/openai-python · code
    Excerto
    1-chat-latest", "gpt-5", "gpt-5-mini", "gpt-5-nano", "gpt-5-2025-08-07", "gpt-5-mini-2025-08-07", "gpt-5-nano-2025-08-07", "gpt-5-chat-latest", "gpt-4.1", "gpt-4.1-mini", "gpt-4.1-nano", "gpt-4.1-2025-04-14", "gpt-4.1-mini-2025-04-14", "gpt-4.1-nano-2025-04-14", "o4-mini", "o4-mini-2025-04-16", "o3", "o3-2025-04-16", "o3-mini", "o3-mini-2025-01-31", "o1", "o1-2024-12-17", "o1-preview", "o1-preview-2024-09-12", "o1-mini", "o1-mini-2024-09-12", "gpt-4o", "gpt-4o-2024-11-20", "gpt-4o-2024-08-06", "gpt-4o-2024-05-13", "gpt-aud
  13. · Entrada no catálogo · GitHub · openai/openai-agents-js · code
    Excerto
    _WINDOWS_1M = new Set([ 'gpt-6-astra', 'gpt-6-sol', 'gpt-6-luna', 'gpt-6.1-sol', 'gpt-5.6', 'gpt-5.6-sol', 'gpt-5.6-terra', 'gpt-5.6-luna', 'gpt-5.4', 'gpt-5.4-2026-03-05', 'gpt-5.4-pro', 'gpt-5.4-pro-2026-03-05', 'gpt-4.1', 'gpt-4.1-2025-04-14', 'gpt-4.1-mini', 'gpt-4.1-mini-2025-04-14', 'gpt-4.1-nano', 'gpt-4.1-nano-2025-04-14', ]); const SANDBOX_CONTEXT_WINDOWS_400K = new Set([ 'gpt-5', 'gpt-5-codex', 'gpt-5-mini', 'gpt-5-nano', 'gpt-5-pro', 'gpt-5.1', 'gpt-5.1-codex', 'gpt-5.1-codex-max', 'gpt-5.1-codex-mini', 'gpt-5.2', 'gpt-5.2-codex', 'gpt-5.2-codex-cyber', 'gpt-5.2-pro', 'gpt-5.3-codex', 'gpt-5.3-codex-spark', 'gpt-5.4-mini', 'gpt-5.4-nano', ]); const SANDBOX_CONTEXT_WINDOWS_200K = new Set([ 'codex-mini-latest', 'o1', 'o1-2024-12-17', 'o1-pro', 'o3', 'o3-2025-04-16', 'o3-mini', 'o3
  14. · Links de referência · OpenAI · Model release notes
    Excerto
    Starting today, Plus, Pro, and Team users can access GPT-4.1 via the "more models" dropdown in the model picker
  15. · Links de referência · OpenAI · news
    Excerto
    Introducing GPT-4.1 in the API—a new family of models with across-the-board improvements, including major gains in coding, instruction following, and long-context understanding
  16. · Links de referência · OpenAI · ChatGPT release notes
    Excerto
    Starting today, Plus, Pro, and Team users can access GPT-4.1 via the "more models" dropdown in the model picker

Sinais 1

Especificações

GPT-4.1 é um modelo de OpenAI, lançado em 2025-04-14. A janela de contexto é de 1.047.576 tokens. A saída máxima é de 32.768 tokens. O preço por milhão de tokens é de $2,00 na entrada e $8,00 na saída.

Janela de contexto
1.047.576
Saída máxima
32.768
Entrada
texto · imagem
Saída
texto
Entrada · USD / 1 milhão de tokens
$2,00
Saída · USD / 1 milhão de tokens
$8,00
Entrada em cache · USD / 1 milhão de tokens
$0,50

Perguntas

Qual é a janela de contexto do GPT-4.1?

A janela de contexto é de 1.047.576 tokens. A saída máxima é de 32.768 tokens.

Quanto custa o GPT-4.1?

O preço por milhão de tokens é de $2,00 na entrada e $8,00 na saída. A entrada em cache custa $0,50 por milhão.

Quando o GPT-4.1 foi lançado?

Em 2025-04-14.