Alex Getmanfrühe KI-Signale

GPT-4.1

OpenAI

Veröffentlicht Aktualisiert
Kontextfenster
1M
1.047.576 Tokens
Maximale Ausgabe
33K
32.768 Tokens
Eingabe / Ausgabe
Text, Bild → Text

API-Preise

USD / 1 Mio. Token

EingabeAusgabeCache-Eingabe
  • $2,00
openai-pricing
  • $8,00
openai-pricing
  • $0,50
openai-pricing

Zeitverlauf

  1. · API-Verfügbarkeit · Beleglink · Beleglink · Beleglink
  2. · Produktaktualisierung · Beleglink · Beleglink
Preis Ein-/Ausgabe · USD / 1 Mio. Token
ModellBeleglinksPreis Ein-/Ausgabe
gpt-4.1
batch
openai
API-Route nicht verfügbar
$1,00 / $4,00
gpt-4.1
fast
openai
API-Route nicht verfügbar
$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. · Bestätigter Einsatz · OpenAI · official articles · Introducing GPT-4.1 in the API
  2. · Beleglinks · OpenAI · official articles
    Auszug
    Introducing GPT‑4.1 in the API
  3. · Beleglinks · OpenAI · official articles
  4. · Beleglinks · OpenAI · official articles
  5. · Beleglinks · OpenAI · official articles
    Auszug
    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. · Beleglinks · OpenAI · official articles
  7. · Katalogeintrag · GitHub · openai/openai-node · code
    Auszug
    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. · Katalogeintrag · GitHub · openai/openai-agents-python · code
    Auszug
    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. · Katalogeintrag · GitHub · openai/codex · code
    Auszug
    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 /// `

    Diese Codereferenz bestätigt keinen tatsächlich verwendeten Modellbezeichner.

  10. · Katalogeintrag · GitHub · openai/codex · code
    Auszug
    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 /// `

    Diese Codereferenz bestätigt keinen tatsächlich verwendeten Modellbezeichner.

  11. · Katalogeintrag · GitHub · openai/openai-agents-python · code
    Auszug
    `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

    Diese Codereferenz bestätigt keinen tatsächlich verwendeten Modellbezeichner.

  12. · Katalogeintrag · GitHub · openai/openai-python · code
    Auszug
    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. · Katalogeintrag · GitHub · openai/openai-agents-js · code
    Auszug
    _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. · Beleglinks · OpenAI · Model release notes
    Auszug
    Starting today, Plus, Pro, and Team users can access GPT-4.1 via the "more models" dropdown in the model picker
  15. · Beleglinks · OpenAI · news
    Auszug
    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. · Beleglinks · OpenAI · ChatGPT release notes
    Auszug
    Starting today, Plus, Pro, and Team users can access GPT-4.1 via the "more models" dropdown in the model picker

Signale 1

Technische Daten

GPT-4.1 ist ein Modell von OpenAI, veröffentlicht am 2025-04-14. Das Kontextfenster umfasst 1.047.576 Tokens. Die maximale Ausgabelänge beträgt 32.768 Tokens. Pro Million Tokens kostet die Eingabe $2,00 und die Ausgabe $8,00.

Kontextfenster
1.047.576
Maximale Ausgabe
32.768
Eingabe
Text · Bild
Ausgabe
Text
Eingabe · USD / 1 Mio. Token
$2,00
Ausgabe · USD / 1 Mio. Token
$8,00
Cache-Eingabe · USD / 1 Mio. Token
$0,50

Fragen

Wie groß ist das Kontextfenster von GPT-4.1?

Das Kontextfenster umfasst 1.047.576 Tokens. Die maximale Ausgabelänge beträgt 32.768 Tokens.

Was kostet GPT-4.1?

Pro Million Tokens kostet die Eingabe $2,00 und die Ausgabe $8,00. Cache-Eingabe kostet $0,50 pro Million.

Wann wurde GPT-4.1 veröffentlicht?

Am 2025-04-14.