
GPT-4.1
OpenAI
- Fereastră de context
- 1M 1.047.576 de tokeni
- Lungimea maximă a răspunsului
- 33K 32.768 de tokeni
- Intrare / Ieșire
- text, imagine → text
Prețuri API
USD / 1 mil. de tokeni
| Intrare | Ieșire | Intrare din cache |
|---|---|---|
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Cronologie
- · Disponibilitate prin API · link către dovezi · link către dovezi · link către dovezi
- · Actualizare a produsului · link către dovezi · link către dovezi
Preț intrare / ieșire · USD / 1 mil. de tokeni
| Model | Linkuri către dovezi | Preț intrare / ieșire |
|---|---|---|
gpt-4.1batch | openai Ruta API nu este disponibilă | $1,00 / $4,00 |
gpt-4.1fast | openai Ruta API nu este disponibilă | $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 |
- · Utilizare confirmată · OpenAI · official articles · Introducing GPT-4.1 in the API
- · Linkuri către dovezi · OpenAI · official articles
Fragment
Introducing GPT‑4.1 in the API
- · Linkuri către dovezi · OpenAI · official articles
- · Linkuri către dovezi · OpenAI · official articles
- · Linkuri către dovezi · OpenAI · official articles
Fragment
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
- · Linkuri către dovezi · OpenAI · official articles
- · Înregistrare în catalog · GitHub · openai/openai-node · code
Fragment
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
- · Înregistrare în catalog · GitHub · openai/openai-agents-python · code
Fragment
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
- · Înregistrare în catalog · GitHub · openai/codex · code
Fragment
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 /// `
Această referință din cod nu confirmă un identificator de model utilizat.
- · Înregistrare în catalog · GitHub · openai/codex · code
Fragment
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 /// `
Această referință din cod nu confirmă un identificator de model utilizat.
- · Înregistrare în catalog · GitHub · openai/openai-agents-python · code
Fragment
`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
Această referință din cod nu confirmă un identificator de model utilizat.
- · Înregistrare în catalog · GitHub · openai/openai-python · code
Fragment
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
- · Înregistrare în catalog · GitHub · openai/openai-agents-js · code
Fragment
_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
- · Linkuri către dovezi · OpenAI · Model release notes
Fragment
Starting today, Plus, Pro, and Team users can access GPT-4.1 via the "more models" dropdown in the model picker
- · Linkuri către dovezi · OpenAI · news
Fragment
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
- · Linkuri către dovezi · OpenAI · ChatGPT release notes
Fragment
Starting today, Plus, Pro, and Team users can access GPT-4.1 via the "more models" dropdown in the model picker
Semnale 1
Specificații
GPT-4.1 este un model de la OpenAI, lansat la data de 2025-04-14. Fereastra de context este de 1.047.576 de tokeni. Lungimea maximă a răspunsului este de 32.768 de tokeni. Prețul este de $2,00 pentru un milion de tokeni de intrare și de $8,00 pentru un milion de tokeni de ieșire.
- Fereastră de context
- 1.047.576
- Lungimea maximă a răspunsului
- 32.768
- Intrare
- text · imagine
- Ieșire
- text
- Intrare · USD / 1 mil. de tokeni
- $2,00
- Ieșire · USD / 1 mil. de tokeni
- $8,00
- Intrare din cache · USD / 1 mil. de tokeni
- $0,50
Întrebări
Care este fereastra de context a modelului GPT-4.1?
Fereastra de context este de 1.047.576 de tokeni. Lungimea maximă a răspunsului este de 32.768 de tokeni.
Cât costă GPT-4.1?
Prețul este de $2,00 pentru un milion de tokeni de intrare și de $8,00 pentru un milion de tokeni de ieșire. Intrarea din cache costă $0,50 pentru un milion de tokeni.
Când a fost lansat GPT-4.1?
La data de 2025-04-14.