Alex Getmansinyal AI awal

GPT-4.1

OpenAI

Dirilis Diperbarui
Jendela konteks
1M
1.047.576 token
Keluaran maksimal
33K
32.768 token
Masukan / Keluaran
teks, gambar → teks

Harga API

USD / 1 juta token

MasukanKeluaranMasukan dalam cache
  • $2,00
openai-pricing
  • $8,00
openai-pricing
  • $0,50
openai-pricing

Linimasa

  1. · Ketersediaan API · tautan bukti · tautan bukti · tautan bukti
  2. · Pembaruan produk · tautan bukti · tautan bukti
Harga masukan / keluaran · USD / 1 juta token
ModelTautan buktiHarga masukan / keluaran
gpt-4.1
batch
openai
Rute API tidak tersedia
$1,00 / $4,00
gpt-4.1
fast
openai
Rute API tidak tersedia
$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. · Penggunaan terkonfirmasi · OpenAI · official articles · Introducing GPT-4.1 in the API
  2. · Tautan bukti · OpenAI · official articles
    Kutipan
    Introducing GPT‑4.1 in the API
  3. · Tautan bukti · OpenAI · official articles
  4. · Tautan bukti · OpenAI · official articles
  5. · Tautan bukti · OpenAI · official articles
    Kutipan
    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. · Tautan bukti · OpenAI · official articles
  7. · Entri katalog · GitHub · openai/openai-node · code
    Kutipan
    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. · Entri katalog · GitHub · openai/openai-agents-python · code
    Kutipan
    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. · Entri katalog · GitHub · openai/codex · code
    Kutipan
    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 /// `

    Referensi dalam kode ini tidak mengonfirmasi pengenal model yang digunakan.

  10. · Entri katalog · GitHub · openai/codex · code
    Kutipan
    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 /// `

    Referensi dalam kode ini tidak mengonfirmasi pengenal model yang digunakan.

  11. · Entri katalog · GitHub · openai/openai-agents-python · code
    Kutipan
    `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

    Referensi dalam kode ini tidak mengonfirmasi pengenal model yang digunakan.

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

Sinyal 1

Spesifikasi

GPT-4.1 adalah model AI dari OpenAI, dirilis pada 2025-04-14. Jendela konteksnya sebesar 1.047.576 token. Keluaran maksimalnya 32.768 token. Harga per satu juta token adalah $2,00 untuk input dan $8,00 untuk output.

Jendela konteks
1.047.576
Keluaran maksimal
32.768
Masukan
teks · gambar
Keluaran
teks
Masukan · USD / 1 juta token
$2,00
Keluaran · USD / 1 juta token
$8,00
Masukan dalam cache · USD / 1 juta token
$0,50

Pertanyaan

Seberapa besar jendela konteks GPT-4.1?

Jendela konteksnya sebesar 1.047.576 token. Keluaran maksimalnya 32.768 token.

Berapa biaya GPT-4.1?

Harga per satu juta token adalah $2,00 untuk input dan $8,00 untuk output. Masukan dari cache berharga $0,50 per juta token.

Kapan GPT-4.1 dirilis?

2025-04-14.