Alex Getmansinyal AI awal

GPT-5.6 Luna

OpenAI

Dirilis Diperbarui
Jendela konteks
1M
1.050.000 token
Keluaran maksimal
128K
128.000 token
Masukan / Keluaran
teks, gambar → teks

Harga API

USD / 1 juta token

MasukanKeluaranMasukan dalam cache
  • $0,20
openrouter
  • $1,20
openrouter
  • $0,02
openrouter

Linimasa

  1. · Ketersediaan API · tautan bukti
Harga masukan / keluaran · USD / 1 juta token
ModelTautan buktiHarga masukan / keluaran
gpt-5.6-luna
batch · long context
openai
Rute API tidak tersedia
$0,20 (Masukan > 272.000 token) / $0,90 (Masukan > 272.000 token)
gpt-5.6-luna
batch · short context
openai
Rute API tidak tersedia
$0,10 (Masukan ≤ 272.000 token) / $0,60 (Masukan ≤ 272.000 token)
gpt-5.6-luna
fast · long context
openai
Rute API tidak tersedia
$0,80 (Masukan > 272.000 token) / $3,60 (Masukan > 272.000 token)
gpt-5.6-luna
fast · short context
openai
Rute API tidak tersedia
$0,40 (Masukan ≤ 272.000 token) / $2,40 (Masukan ≤ 272.000 token)
gpt-5.6-luna
flex · long context
openai
Rute API tidak tersedia
$0,20 (Masukan > 272.000 token) / $0,90 (Masukan > 272.000 token)
gpt-5.6-luna
flex · short context
openai
Rute API tidak tersedia
$0,10 (Masukan ≤ 272.000 token) / $0,60 (Masukan ≤ 272.000 token)
gpt-5.6-luna
standard · long context
openai
Rute API tidak tersedia
$0,40 (Masukan > 272.000 token) / $1,80 (Masukan > 272.000 token)
gpt-5.6-luna
standard · short context
openai
Rute API tidak tersedia
$0,20 (Masukan ≤ 272.000 token) / $1,20 (Masukan ≤ 272.000 token)
gpt-5.6-luna
standard · teks
opencode-go$0,20 / $1,20
openai/gpt-5.6-luna-pro
standard
openrouter$0,20 / $1,20
openai/gpt-5.6-luna-pro:batch
batch
openrouter$0,10 / $0,60
  1. · Penggunaan terkonfirmasi · OpenAI · official articles · Ringg’s AI agents resolve up to 65% of customer calls with OpenAI
    Kutipan
    For real-time interactions, Ringg uses GPT‑5.6 Luna and other models to interpret customer requests, select tools, and guide customers through multi-step workflows
  2. · Penggunaan terkonfirmasi · OpenAI · official articles · How we detect frontier model misalignment
  3. · Entri katalog · GitHub · openai/openai-node · code
    Kutipan
    ai.com/api/docs/deprecations for details and * recommended replacements. */ model: | 'gpt-6-astra' | 'gpt-6.1-sol' | 'gpt-6.1-terra' | 'gpt-6-sol' | 'gpt-6-luna' | 'gpt-5.6-sol' | 'gpt-5.6-terra' | 'gpt-5.6-luna' | 'gpt-5.5' | 'gpt-5.5-2026-04-23' | 'gpt-5.4' | 'gpt-5.4-mini' | 'gpt-5.4-nano' | 'gpt-5.4-mini-2026-03-17' | 'gpt-5.4-nano-2026-03-17' | 'gpt-5.3-chat-latest' | 'gpt-5.2' | 'gpt-5.2-2025-12-11' | 'gpt-5.2-chat-latest' | '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' | 'gp
  4. · Entri katalog · GitHub · openai/openai-agents-python · code
    Kutipan
    """ model: str | Model | None = None """The model implementation to use when invoking the LLM. By default, if not set, the agent will use the default model configured in `agents.models.get_default_model()` (currently "gpt-5.6-luna"). """ model_settings: ModelSettings = field(default_factory=_default_agent_model_settings) """Configures model-specific tuning parameters (e.g. temperature, top_p). Accepts a ``ModelSettings`` instance or a dictionary containing its fields. """ input_guardrails: list[InputGuardrail[TContext]] = field(default_factory=list) """A list of checks that run in parallel to the agent's execution, before generating a response. Runs only if the agent is the first agent in the chain. """ output_guardrails: list[OutputGuardrail[TContext]] = field(default_factory=list) """A list of checks that run
  5. · Entri katalog · GitHub · openai/codex · code
    Kutipan
    ").plan_type("pro"), AuthCredentialsStoreMode::File, )?; let config = load_default_config_for_test(&codex_home).await; let models = [MODEL, "gpt-5.6-luna", "gpt-6.1-sol"] .into_iter() .map(|slug| { let mut info = codex_core::test_support::construct_model_info_offline(slug, &config); if slug == MODEL { info.auto_review_model_override = Some("gpt-6.1-sol".to_owned()); } info })

    Referensi dalam kode ini tidak mengonfirmasi pengenal model yang digunakan.

  6. · Entri katalog · GitHub · openai/codex · code
    Kutipan
    se super::BedrockEndpoint; const GPT_5_BEDROCK_CONTEXT_WINDOW: i64 = 272_000; const GPT_5_6_SOL_OPENAI_MODEL_ID: &str = "gpt-5.6-sol"; const GPT_5_6_TERRA_OPENAI_MODEL_ID: &str = "gpt-5.6-terra"; const GPT_5_6_LUNA_OPENAI_MODEL_ID: &str = "gpt-5.6-luna"; const GPT_6_1_SOL_OPENAI_MODEL_ID: &str = "gpt-6.1-sol"; const GPT_6_1_TERRA_OPENAI_MODEL_ID: &str = "gpt-6.1-terra"; const GPT_6_SOL_OPENAI_MODEL_ID: &str = "gpt-6-sol"; const GPT_6_LUNA_OPENAI_MODEL_ID: &str = "gpt-6-luna"; const GPT_6_ASTRA_OPENAI_MODEL_ID: &str = "gpt-6-astra"; const GPT_5_5_OPENAI_MODEL_ID: &str = "gpt-5.5"; pub(crate) fn static_model_catalog() -> ModelsResponse { let catalog = ModelsResponse { models: vec![ bedrock_model( bundled_openai_model(GPT_6_1_SOL_OPENAI_MODEL_ID), AMAZON_BEDROCK_GPT_6_1_SOL_MODEL_ID, "GPT-6.1 Sol",
  7. · Entri katalog · GitHub · openai/openai-agents-python · code
    Kutipan
    #third-party-adapters) | ## OpenAI モデル {#openai-models} OpenAI のみを使用するほとんどのアプリでは、デフォルトの OpenAI プロバイダーで文字列のモデル名を使用し、Responses モデル経路を維持する方法を推奨します。 [`Agent`][agents.agent.Agent] でモデルを指定しない場合、Agents SDK はコスト重視で大量処理を行うエージェントワークフロー向けに、デフォルトで [`gpt-5.6-luna`](https://developers.openai.com/api/docs/models/gpt-5.6-luna) を `reasoning.effort="none"` および `verbosity="low"` とともに使用します。最先端の能力が必要なアプリケーションでは、`model="gpt-5.6-sol"` を明示的に設定し、ワークロードに適した `model_settings` を選択できます。 `gpt-5.6-sol` などの別のモデルへ切り替える場合、エージェントを設定する方法は 2 つあります。 ### デフォルトモデル {#default-model} まず、カスタムモデルを設定していないすべてのエージェントで特定のモデルを一貫して使用する場合は、エージェントを実行する前に `OPENAI_DEFAULT_MODEL` 環境変数を設定します。 ```bash export OPENAI_DEFAULT_MODEL=gpt-5.6-sol python3 my_awesome_agent.py ``` 次に、`RunConfig` を使用して、実行単位のデフォルトモデルを設定できます。エージェントにモデルを設定していない場合、この実行のモデルが使用されます。 ```python from agents import Agent, RunConfig, Runner agent = Agent( name="

    Referensi dalam kode ini tidak mengonfirmasi pengenal model yang digunakan.

  8. · Entri katalog · GitHub · openai/openai-python · code
    Kutipan
    " model: Union[ Literal[ "gpt-6-astra", "gpt-6.1-sol", "gpt-6.1-terra", "gpt-6-sol", "gpt-6-luna", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", "gpt-5.5", "gpt-5.5-2026-04-23", "gpt-5.4", "gpt-5.4-mini", "gpt-5.4-nano", "gpt-5.4-mini-2026-03-17", "gpt-5.4-nano-2026-03-17", "gpt-5.3-chat-latest", "gpt-5.2", "gpt-5.2-2025-12-11", "gpt-5.2-chat-latest", "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",
  9. · Entri katalog · GitHub · openai/openai-agents-js · code
    Kutipan
    t5ReasoningSettingsRequired(getDefaultModel()); } /** * Returns the default model name. */ export function getDefaultModel(): string { const env = loadEnv(); return ( env[OPENAI_DEFAULT_MODEL_ENV_VARIABLE_NAME]?.toLowerCase() ?? 'gpt-5.6-luna' ); } /** * Returns the default model settings. * GPT-5-and-newer reasoning models receive model-specific defaults when known. * Otherwise, returns the legacy default model settings. */ export function getDefaultModelSettings(model?: string): ModelSettings { const _model = model ?? getDefaultModel(); if (isGpt5OrNewerReasoningModel(_model)) { const effort = getDefaultReasoningEffort(_model); if (effort !== undefined) { return { reasoning: { effort }, text: { verbosity: 'low' }, }; } return { // Keep the shared text verbosity default, but omit reasoning.effort for //
  10. · Tautan bukti · OpenAI · ChatGPT release notes
    Kutipan
    GPT‑5.6 Luna will become the default model for Free and Go users this week
  11. · Postingan Alex · Alex Getman
    Kutipan
    GPT-6 Luna may already be in A/B testing. Some GPT-5.6 Luna requests are being served as GPT-6 Luna behind the scenes.
  12. · Postingan Alex · Alex Getman
    Kutipan
    ⚡️ OpenAI added Luna Reserve after you hit your usage limits The official docs now mention Luna Reserve. Selected Plus and Pro accounts can keep working in Codex and ChatGPT Work with GPT 5.6 Luna after hitting their regular usage limit. Luna Reserve has its own separate limit and isn't available to everyone yet.
  13. · Postingan Alex · Alex Getman
    Kutipan
    GPT 5.6 Luna is now a native subagent It can now work alongside Sol and Terra. Until now, Luna was on the previous subagent system, so users had to rely on workarounds to plug it in.
  14. · Postingan Alex · Alex Getman
    Kutipan
    Over the last few days, I burned through around 1.5 billion tokens using GPT-5.6 Luna. At first, I ran it on Max reasoning because that’s what everyone was recommending. Later I switched to xHigh. Max costs about twice as much as xHigh and, from what I can tell, also takes about twice as long to think. My main takeaway is that the model is genuinely very good. For short and medium tasks, I often had Claude Opus 5 double check Luna’s work, and most of the time it agreed with the result. Longer tasks are a different story. Luna can overthink things, lose track of what it was doing at the beginning, handle the middle well, and then fail to finish the last part properly. On these longer task
  15. · Postingan Alex · Alex Getman
    Kutipan
    ⚡️ GPT 5.6 Luna is becoming the default model for ChatGPT Free and Go users Starting next week, it will also come with unlimited text chats and a new Think button for harder questions.
  16. · Postingan Alex · Alex Getman
    Kutipan
    ⚡️ Alibaba released Qwen 3.8 Max The new 2.4T parameter flagship benchmarks in the same league as GPT-5.6 Sol, Claude Opus 4.8 and Fable 5. API pricing is $2/M input and $6/M output, roughly half the cost of GPT-5.6 Terra and Claude Sonnet. Now it’s up to users to see whether Qwen can beat DeepSeek-V4-Flash and GPT-5.6 Luna on price to performance.
  17. · Postingan Alex · Alex Getman
    Kutipan
    Yesterday GPT 5.6 Luna pushed the Pareto frontier for intelligence and cost. Today DeepSeek V4 Flash did it again and pushed it even further.
  18. · Postingan Alex · Alex Getman
    Kutipan
    Using GPT 5.6 Luna Max, you get the power of March’s flagship GPT 5.4 xhigh for one thirteenth of its price.

Sinyal 2

Spesifikasi

GPT-5.6 Luna adalah model AI dari OpenAI, dirilis pada 2026-07-09. Jendela konteksnya sebesar 1.050.000 token. Keluaran maksimalnya 128.000 token. Harga per satu juta token adalah $0,20 untuk input dan $1,20 untuk output.

Jendela konteks
1.050.000
Keluaran maksimal
128.000
Masukan
teks · gambar
Keluaran
teks
Masukan · USD / 1 juta token
$0,20
Keluaran · USD / 1 juta token
$1,20
Masukan dalam cache · USD / 1 juta token
$0,02

Pertanyaan

Seberapa besar jendela konteks GPT-5.6 Luna?

Jendela konteksnya sebesar 1.050.000 token. Keluaran maksimalnya 128.000 token.

Berapa biaya GPT-5.6 Luna?

Harga per satu juta token adalah $0,20 untuk input dan $1,20 untuk output. Masukan dari cache berharga $0,02 per juta token.

Kapan GPT-5.6 Luna dirilis?

2026-07-09.