GPT-4.1: Disponibilidad en API
Confirmado6 enlaces de referencia
Original en inglés

OpenAI
USD / 1 millón de tokens
| Entrada | Salida | Entrada en caché |
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| Modelo | Enlaces de referencia | Precio entrada/salida |
|---|---|---|
gpt-4.1batch | openai Ruta de API no disponible | $1,00 / $4,00 |
gpt-4.1fast | openai Ruta de API no disponible | $3,50 / $14,00 |
gpt-4.1standard | openai | $2,00 / $8,00 |
openai/gpt-4.1standard | openrouter | $2,00 / $8,00 |
openai/gpt-4.1:batchbatch | openrouter | $1,00 / $4,00 |
openai/gpt-4.1standard | vercel-gateway | $2,00 / $8,00 |
openai/gpt-4.1-batchbatch | vercel-gateway | $1,00 / $4,00 |
Introducing GPT‑4.1 in the API
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
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
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
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 referencia en el código no confirma un identificador de modelo en uso.
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 referencia en el código no confirma un identificador de modelo en uso.
`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 referencia en el código no confirma un identificador de modelo en uso.
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
_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
Starting today, Plus, Pro, and Team users can access GPT-4.1 via the "more models" dropdown in the model picker
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
Starting today, Plus, Pro, and Team users can access GPT-4.1 via the "more models" dropdown in the model picker
GPT-4.1 es un modelo de OpenAI, lanzado el 2025-04-14. La ventana de contexto es de 1.047.576 tokens. El máximo de salida es de 32.768 tokens. El precio por millón de tokens es de $2,00 para la entrada y $8,00 para la salida.
La ventana de contexto es de 1.047.576 tokens. El máximo de salida es de 32.768 tokens.
El precio por millón de tokens es de $2,00 para la entrada y $8,00 para la salida. La entrada en caché cuesta $0,50 por millón.
El 2025-04-14.