Alex Getmanisyarat awal AI

GPT-4.1

OpenAI

Dikeluarkan Dikemas kini
Tetingkap konteks
1M
1,047,576 token
Keluaran maksimum
33K
32,768 token
Input / Output
teks, imej → teks

Harga API

USD / 1 juta token

InputOutputInput dalam cache
  • $2.00
openai-pricing
  • $8.00
openai-pricing
  • $0.50
openai-pricing

Garis masa

  1. · Ketersediaan API · pautan bukti · pautan bukti · pautan bukti
  2. · Kemas kini produk · pautan bukti · pautan bukti
Harga input / output · USD / 1 juta token
ModelPautan buktiHarga input / output
gpt-4.1
batch
openai
Laluan API tidak tersedia
$1.00 / $4.00
gpt-4.1
fast
openai
Laluan 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 disahkan · OpenAI · official articles · Introducing GPT-4.1 in the API
  2. · Pautan bukti · OpenAI · official articles
    Petikan
    Introducing GPT‑4.1 in the API
  3. · Pautan bukti · OpenAI · official articles
  4. · Pautan bukti · OpenAI · official articles
  5. · Pautan bukti · OpenAI · official articles
    Petikan
    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. · Pautan bukti · OpenAI · official articles
  7. · Entri katalog · GitHub · openai/openai-node · code
    Petikan
    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
    Petikan
    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
    Petikan
    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 /// `

    Rujukan dalam kod ini tidak mengesahkan pengecam model yang digunakan.

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

    Rujukan dalam kod ini tidak mengesahkan pengecam model yang digunakan.

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

    Rujukan dalam kod ini tidak mengesahkan pengecam model yang digunakan.

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

Isyarat 1

Spesifikasi

GPT-4.1 ialah model daripada OpenAI, dikeluarkan pada 2025-04-14. Tetingkap konteks ialah 1,047,576 token. Keluaran maksimum ialah 32,768 token. Harganya ialah $2.00 bagi sejuta token input dan $8.00 bagi sejuta token output.

Tetingkap konteks
1,047,576
Keluaran maksimum
32,768
Input
teks · imej
Output
teks
Input · USD / 1 juta token
$2.00
Output · USD / 1 juta token
$8.00
Input dalam cache · USD / 1 juta token
$0.50

Soalan

Apakah tetingkap konteks GPT-4.1?

Tetingkap konteks ialah 1,047,576 token. Keluaran maksimum ialah 32,768 token.

Berapakah harga GPT-4.1?

Harganya ialah $2.00 bagi sejuta token input dan $8.00 bagi sejuta token output. Input dalam cache berharga $0.50 bagi sejuta token.

Bilakah GPT-4.1 dikeluarkan?

Pada 2025-04-14.