Alex Getmansemnale timpurii despre IA

GPT-4.1

OpenAI

Lansat Actualizat
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

IntrareIeșireIntrare din cache
  • $2,00
openai-pricing
  • $8,00
openai-pricing
  • $0,50
openai-pricing

Cronologie

  1. · Disponibilitate prin API · link către dovezi · link către dovezi · link către dovezi
  2. · Actualizare a produsului · link către dovezi · link către dovezi
Preț intrare / ieșire · USD / 1 mil. de tokeni
ModelLinkuri către doveziPreț intrare / ieșire
gpt-4.1
batch
openai
Ruta API nu este disponibilă
$1,00 / $4,00
gpt-4.1
fast
openai
Ruta API nu este disponibilă
$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. · Utilizare confirmată · OpenAI · official articles · Introducing GPT-4.1 in the API
  2. · Linkuri către dovezi · OpenAI · official articles
    Fragment
    Introducing GPT‑4.1 in the API
  3. · Linkuri către dovezi · OpenAI · official articles
  4. · Linkuri către dovezi · OpenAI · official articles
  5. · 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
  6. · Linkuri către dovezi · OpenAI · official articles
  7. · 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
  8. · 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
  9. · 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.

  10. · 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.

  11. · 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.

  12. · 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
  13. · 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
  14. · 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
  15. · 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
  16. · 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.