Alex Getmansemnale timpurii despre IA

GPT-5.6 Luna

OpenAI

Lansat Actualizat
Fereastră de context
1M
1.050.000 de tokeni
Lungimea maximă a răspunsului
128K
128.000 de tokeni
Intrare / Ieșire
text, imagine → text

Prețuri API

USD / 1 mil. de tokeni

IntrareIeșireIntrare din cache
  • $0,20
openrouter
  • $1,20
openrouter
  • $0,02
openrouter

Cronologie

  1. · Disponibilitate prin API · link către dovezi
Preț intrare / ieșire · USD / 1 mil. de tokeni
ModelLinkuri către doveziPreț intrare / ieșire
gpt-5.6-luna
batch · long context
openai
Ruta API nu este disponibilă
$0,20 (Intrare > 272.000 de tokeni) / $0,90 (Intrare > 272.000 de tokeni)
gpt-5.6-luna
batch · short context
openai
Ruta API nu este disponibilă
$0,10 (Intrare ≤ 272.000 de tokeni) / $0,60 (Intrare ≤ 272.000 de tokeni)
gpt-5.6-luna
fast · long context
openai
Ruta API nu este disponibilă
$0,80 (Intrare > 272.000 de tokeni) / $3,60 (Intrare > 272.000 de tokeni)
gpt-5.6-luna
fast · short context
openai
Ruta API nu este disponibilă
$0,40 (Intrare ≤ 272.000 de tokeni) / $2,40 (Intrare ≤ 272.000 de tokeni)
gpt-5.6-luna
flex · long context
openai
Ruta API nu este disponibilă
$0,20 (Intrare > 272.000 de tokeni) / $0,90 (Intrare > 272.000 de tokeni)
gpt-5.6-luna
flex · short context
openai
Ruta API nu este disponibilă
$0,10 (Intrare ≤ 272.000 de tokeni) / $0,60 (Intrare ≤ 272.000 de tokeni)
gpt-5.6-luna
standard · long context
openai
Ruta API nu este disponibilă
$0,40 (Intrare > 272.000 de tokeni) / $1,80 (Intrare > 272.000 de tokeni)
gpt-5.6-luna
standard · short context
openai
Ruta API nu este disponibilă
$0,20 (Intrare ≤ 272.000 de tokeni) / $1,20 (Intrare ≤ 272.000 de tokeni)
gpt-5.6-luna
standard · text
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. · Utilizare confirmată · OpenAI · official articles · Ringg’s AI agents resolve up to 65% of customer calls with OpenAI
    Fragment
    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. · Utilizare confirmată · OpenAI · official articles · How we detect frontier model misalignment
  3. · Înregistrare în catalog · GitHub · openai/openai-node · code
    Fragment
    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. · Înregistrare în catalog · GitHub · openai/openai-agents-python · code
    Fragment
    """ 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. · Înregistrare în catalog · GitHub · openai/codex · code
    Fragment
    ").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 })

    Această referință din cod nu confirmă un identificator de model utilizat.

  6. · Înregistrare în catalog · GitHub · openai/codex · code
    Fragment
    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. · Înregistrare în catalog · GitHub · openai/openai-agents-python · code
    Fragment
    #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="

    Această referință din cod nu confirmă un identificator de model utilizat.

  8. · Înregistrare în catalog · GitHub · openai/openai-python · code
    Fragment
    " 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. · Înregistrare în catalog · GitHub · openai/openai-agents-js · code
    Fragment
    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. · Linkuri către dovezi · OpenAI · ChatGPT release notes
    Fragment
    GPT‑5.6 Luna will become the default model for Free and Go users this week
  11. · Postările lui Alex · Alex Getman
    Fragment
    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. · Postările lui Alex · Alex Getman
    Fragment
    ⚡️ 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. · Postările lui Alex · Alex Getman
    Fragment
    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. · Postările lui Alex · Alex Getman
    Fragment
    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. · Postările lui Alex · Alex Getman
    Fragment
    ⚡️ 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. · Postările lui Alex · Alex Getman
    Fragment
    ⚡️ 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. · Postările lui Alex · Alex Getman
    Fragment
    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. · Postările lui Alex · Alex Getman
    Fragment
    Using GPT 5.6 Luna Max, you get the power of March’s flagship GPT 5.4 xhigh for one thirteenth of its price.

Semnale 2

Specificații

GPT-5.6 Luna este un model de la OpenAI, lansat la data de 2026-07-09. Fereastra de context este de 1.050.000 de tokeni. Lungimea maximă a răspunsului este de 128.000 de tokeni. Prețul este de $0,20 pentru un milion de tokeni de intrare și de $1,20 pentru un milion de tokeni de ieșire.

Fereastră de context
1.050.000
Lungimea maximă a răspunsului
128.000
Intrare
text · imagine
Ieșire
text
Intrare · USD / 1 mil. de tokeni
$0,20
Ieșire · USD / 1 mil. de tokeni
$1,20
Intrare din cache · USD / 1 mil. de tokeni
$0,02

Întrebări

Care este fereastra de context a modelului GPT-5.6 Luna?

Fereastra de context este de 1.050.000 de tokeni. Lungimea maximă a răspunsului este de 128.000 de tokeni.

Cât costă GPT-5.6 Luna?

Prețul este de $0,20 pentru un milion de tokeni de intrare și de $1,20 pentru un milion de tokeni de ieșire. Intrarea din cache costă $0,02 pentru un milion de tokeni.

Când a fost lansat GPT-5.6 Luna?

La data de 2026-07-09.