Alex Getmansinais antecipados de IA

GPT-5.6 Luna

OpenAI

Lançado Atualizado
Janela de contexto
1M
1.050.000 tokens
Saída máxima
128K
128.000 tokens
Entrada / Saída
texto, imagem → texto

Preços da API

USD / 1 milhão de tokens

EntradaSaídaEntrada em cache
  • $0,20
openrouter
  • $1,20
openrouter
  • $0,02
openrouter

Cronologia

  1. · Disponibilidade na API · link de referência
Preço entrada/saída · USD / 1 milhão de tokens
ModeloLinks de referênciaPreço entrada/saída
gpt-5.6-luna
batch · long context
openai
Rota da API indisponível
$0,20 (Entrada > 272.000 tokens) / $0,90 (Entrada > 272.000 tokens)
gpt-5.6-luna
batch · short context
openai
Rota da API indisponível
$0,10 (Entrada ≤ 272.000 tokens) / $0,60 (Entrada ≤ 272.000 tokens)
gpt-5.6-luna
fast · long context
openai
Rota da API indisponível
$0,80 (Entrada > 272.000 tokens) / $3,60 (Entrada > 272.000 tokens)
gpt-5.6-luna
fast · short context
openai
Rota da API indisponível
$0,40 (Entrada ≤ 272.000 tokens) / $2,40 (Entrada ≤ 272.000 tokens)
gpt-5.6-luna
flex · long context
openai
Rota da API indisponível
$0,20 (Entrada > 272.000 tokens) / $0,90 (Entrada > 272.000 tokens)
gpt-5.6-luna
flex · short context
openai
Rota da API indisponível
$0,10 (Entrada ≤ 272.000 tokens) / $0,60 (Entrada ≤ 272.000 tokens)
gpt-5.6-luna
standard · long context
openai
Rota da API indisponível
$0,40 (Entrada > 272.000 tokens) / $1,80 (Entrada > 272.000 tokens)
gpt-5.6-luna
standard · short context
openai
Rota da API indisponível
$0,20 (Entrada ≤ 272.000 tokens) / $1,20 (Entrada ≤ 272.000 tokens)
gpt-5.6-luna
standard · texto
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. · Uso confirmado · OpenAI · official articles · Ringg’s AI agents resolve up to 65% of customer calls with OpenAI
    Excerto
    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. · Uso confirmado · OpenAI · official articles · How we detect frontier model misalignment
  3. · Entrada no catálogo · GitHub · openai/openai-node · code
    Excerto
    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. · Entrada no catálogo · GitHub · openai/openai-agents-python · code
    Excerto
    """ 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. · Entrada no catálogo · GitHub · openai/codex · code
    Excerto
    ").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 })

    Esta referência no código não confirma um identificador de modelo em uso.

  6. · Entrada no catálogo · GitHub · openai/codex · code
    Excerto
    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. · Entrada no catálogo · GitHub · openai/openai-agents-python · code
    Excerto
    #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="

    Esta referência no código não confirma um identificador de modelo em uso.

  8. · Entrada no catálogo · GitHub · openai/openai-python · code
    Excerto
    " 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. · Entrada no catálogo · GitHub · openai/openai-agents-js · code
    Excerto
    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. · Links de referência · OpenAI · ChatGPT release notes
    Excerto
    GPT‑5.6 Luna will become the default model for Free and Go users this week
  11. · Publicações de Alex · Alex Getman
    Excerto
    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. · Publicações de Alex · Alex Getman
    Excerto
    ⚡️ 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. · Publicações de Alex · Alex Getman
    Excerto
    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. · Publicações de Alex · Alex Getman
    Excerto
    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. · Publicações de Alex · Alex Getman
    Excerto
    ⚡️ 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. · Publicações de Alex · Alex Getman
    Excerto
    ⚡️ 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. · Publicações de Alex · Alex Getman
    Excerto
    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. · Publicações de Alex · Alex Getman
    Excerto
    Using GPT 5.6 Luna Max, you get the power of March’s flagship GPT 5.4 xhigh for one thirteenth of its price.

Sinais 2

Especificações

GPT-5.6 Luna é um modelo de OpenAI, lançado em 2026-07-09. A janela de contexto é de 1.050.000 tokens. A saída máxima é de 128.000 tokens. O preço por milhão de tokens é de $0,20 na entrada e $1,20 na saída.

Janela de contexto
1.050.000
Saída máxima
128.000
Entrada
texto · imagem
Saída
texto
Entrada · USD / 1 milhão de tokens
$0,20
Saída · USD / 1 milhão de tokens
$1,20
Entrada em cache · USD / 1 milhão de tokens
$0,02

Perguntas

Qual é a janela de contexto do GPT-5.6 Luna?

A janela de contexto é de 1.050.000 tokens. A saída máxima é de 128.000 tokens.

Quanto custa o GPT-5.6 Luna?

O preço por milhão de tokens é de $0,20 na entrada e $1,20 na saída. A entrada em cache custa $0,02 por milhão.

Quando o GPT-5.6 Luna foi lançado?

Em 2026-07-09.