Alex GetmanMga maagang senyal sa AI

GPT-5 Mini

OpenAI

Inilabas Na-update
Context window
400K
400,000 token
Pinakamahabang output
128K
128,000 token
Input / Output
teksto, larawan → teksto

Mga presyo ng API

USD / 1 milyong token

InputOutputNaka-cache na input
  • $0.25
openai-pricing
  • $2.00
openai-pricing
  • $0.025
openai-pricing

Takdang panahon

  1. · Magagamit sa API · link sa ebidensiya · link sa ebidensiya
Presyo ng input / output · USD / 1 milyong token
ModeloMga link sa ebidensiyaPresyo ng input / output
gpt-5-mini
batch
openai
Hindi available ang ruta ng API
$0.125 / $1.00
gpt-5-mini
fast
openai
Hindi available ang ruta ng API
$0.45 / $3.60
gpt-5-mini
flex
openai
Hindi available ang ruta ng API
$0.125 / $1.00
gpt-5-mini
standard
openai$0.25 / $2.00
  1. · Mga link sa ebidensiya · OpenAI · official articles
  2. · Pagkakalista sa katalogo · GitHub · openai/openai-node · code
    Sipi
    urces/models/methods/list) * API to see all of your available models, or see our * [Model overview](https://developers.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'
  3. · Pagkakalista sa katalogo · GitHub · openai/openai-agents-python · code
    Sipi
    4", "gpt-4.1-nano", "gpt-4.1-nano-2025-04-14", ), 1_047_576, ), **_model_context_windows( ( "gpt-5", "gpt-5-2025-08-07", "gpt-5-codex", "gpt-5-mini", "gpt-5-mini-2025-08-07", "gpt-5-nano", "gpt-5-nano-2025-08-07", "gpt-5-pro", "gpt-5-pro-2025-10-06", "gpt-5.1", "gpt-5.1-2025-11-13", "gpt-5.1-codex", "gpt-5.1-codex-max", "gpt-5.1-codex-mini", "gpt-5.2", "gpt-5.2-2025-12-11", "gpt-5.2-codex", "gpt-5.2-pro", "gpt-5.2-pro-2025-12-11", "gpt-5.3-codex", "gpt-5.4-mini", "gpt-5.4-mini-2026-03-17", "gpt-5.4-nano", "gpt-5.4-nano-2026-03-17", )
  4. · Pagkakalista sa katalogo · GitHub · openai/codex · code
    Sipi
    _memories = false dedicated_tools = true max_raw_memories_for_consolidation = 512 max_unused_days = 21 max_rollout_age_days = 42 max_rollouts_per_startup = 9 min_rollout_idle_hours = 24 min_rate_limit_remaining_percent = 12 extract_model = "gpt-5-mini" consolidation_model = "gpt-5.2" consolidation_service_tier = "fast" "#; let memories_cfg = toml::from_str::<ConfigToml>(memories).expect("TOML deserialization should succeed"); assert_eq!( Some(MemoriesToml { dual_write: None, version: None, disable_on_external_context: Some(true), generate_memories: Some(false), use_memories: Some(false), dedicated_tools: Some(true), max_raw_memories_for_consolidation: Some(512), max_unused_days: Some(21), max_rollout_age_days: Some(42), max_rollouts_per_

    Hindi pinatutunayan ng pagbanggit na ito sa code ang isang ginagamit na identifier ng modelo.

  5. · Pagkakalista sa katalogo · GitHub · openai/openai-agents-python · code
    Sipi
    、使用するすべての機能が両方で利用可能であることを確認してください。 ```python import asyncio from agents import Agent, Runner, AsyncOpenAI, OpenAIChatCompletionsModel spanish_agent = Agent( name="Spanish agent", instructions="You only speak Spanish.", model="gpt-5-mini", # (1)! ) english_agent = Agent( name="English agent", instructions="You only speak English", model=OpenAIChatCompletionsModel( # (2)! model="gpt-5-nano", openai_client=AsyncOpenAI() ), ) triage_agent = Agent( name="Triage agent", instructions="Handoff to the appropriate agent based on the language of the request.", handoffs=[spanish_agent, english_agent], model="gpt-5.6-sol", ) async def main(): result = await Runner.run(triage_agent, input="Hola, ¿cómo estás?") print(result.final_output) if __name__ == "__main__": asyncio.run(main()) ``` 1. OpenAI モデルの名前を直接設定します。 2.

    Hindi pinatutunayan ng pagbanggit na ito sa code ang isang ginagamit na identifier ng modelo.

  6. · Pagkakalista sa katalogo · GitHub · openai/openai-python · code
    Sipi
    "gpt-5.2-pro", "gpt-5.2-pro-2025-12-11", "gpt-5.1", "gpt-5.1-2025-11-13", "gpt-5.1-codex", "gpt-5.1-mini", "gpt-5.1-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",
  7. · Pagkakalista sa katalogo · GitHub · openai/openai-agents-js · code
    Sipi
    '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-pro', 'o3-deep-research', 'o4-mini', 'o4-mini-2025-04-16', 'o4-mini-deep-research', ]); const SANDBOX_CONTEXT_WINDOWS_128K = new Set([ 'gpt-4o', 'gpt-4o-2024-08-06', 'gpt-4o-mini', 'gpt-4o-mini-20
Mga espesipikasyon

Ang GPT-5 Mini ay isang modelo mula sa OpenAI, na inilabas noong 2025-08-07. Ang context window ay 400,000 token. Ang pinakamahabang output ay 128,000 token. Ang presyo ay $0.25 sa bawat isang milyong input token at $2.00 sa bawat isang milyong output token.

Context window
400,000
Pinakamahabang output
128,000
Input
teksto · larawan
Output
teksto
Input · USD / 1 milyong token
$0.25
Output · USD / 1 milyong token
$2.00
Naka-cache na input · USD / 1 milyong token
$0.025

Mga tanong

Gaano kalaki ang context window ng GPT-5 Mini?

Ang context window ay 400,000 token. Ang pinakamahabang output ay 128,000 token.

Magkano ang GPT-5 Mini?

Ang presyo ay $0.25 sa bawat isang milyong input token at $2.00 sa bawat isang milyong output token. Ang naka-cache na input ay $0.025 sa bawat isang milyong token.

Kailan inilabas ang GPT-5 Mini?

Noong 2025-08-07.