Alex Getmantidlige AI-signaler

GPT-4.1

OpenAI

Lanceret Opdateret
Kontekstvindue
1M
1.047.576 tokens
Maksimal outputlængde
33K
32.768 tokens
Input / Output
tekst, billede → tekst

API-priser

USD / 1 mio. tokens

InputOutputCachelagret input
  • $2,00
openai-pricing
  • $8,00
openai-pricing
  • $0,50
openai-pricing

Tidslinje

  1. · Tilgængelighed via API · kildelink · kildelink · kildelink
  2. · Produktopdatering · kildelink · kildelink
Pris for input / output · USD / 1 mio. tokens
ModelKildelinksPris for input / output
gpt-4.1
batch
openai
API-rute er ikke tilgængelig
$1,00 / $4,00
gpt-4.1
fast
openai
API-rute er ikke tilgængelig
$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. · Bekræftet brug · OpenAI · official articles · Introducing GPT-4.1 in the API
  2. · Kildelinks · OpenAI · official articles
    Uddrag
    Introducing GPT‑4.1 in the API
  3. · Kildelinks · OpenAI · official articles
  4. · Kildelinks · OpenAI · official articles
  5. · Kildelinks · OpenAI · official articles
    Uddrag
    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. · Kildelinks · OpenAI · official articles
  7. · Katalogpost · GitHub · openai/openai-node · code
    Uddrag
    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. · Katalogpost · GitHub · openai/openai-agents-python · code
    Uddrag
    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. · Katalogpost · GitHub · openai/codex · code
    Uddrag
    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 /// `

    Denne henvisning i koden bekræfter ikke en modelidentifikator i brug.

  10. · Katalogpost · GitHub · openai/codex · code
    Uddrag
    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 /// `

    Denne henvisning i koden bekræfter ikke en modelidentifikator i brug.

  11. · Katalogpost · GitHub · openai/openai-agents-python · code
    Uddrag
    `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

    Denne henvisning i koden bekræfter ikke en modelidentifikator i brug.

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

Signaler 1

Specifikationer

GPT-4.1 er en model fra OpenAI, lanceret den 2025-04-14. Kontekstvinduet er 1.047.576 tokens. Den maksimale outputlængde er 32.768 tokens. Prisen er $2,00 pr. million inputtokens og $8,00 pr. million outputtokens.

Kontekstvindue
1.047.576
Maksimal outputlængde
32.768
Input
tekst · billede
Output
tekst
Input · USD / 1 mio. tokens
$2,00
Output · USD / 1 mio. tokens
$8,00
Cachelagret input · USD / 1 mio. tokens
$0,50

Spørgsmål

Hvor stort er kontekstvinduet for GPT-4.1?

Kontekstvinduet er 1.047.576 tokens. Den maksimale outputlængde er 32.768 tokens.

Hvad koster GPT-4.1?

Prisen er $2,00 pr. million inputtokens og $8,00 pr. million outputtokens. Cachelagret input koster $0,50 pr. million tokens.

Hvornår blev GPT-4.1 lanceret?

Den 2025-04-14.