Alex Getmanrané signály AI

GPT-5.6 Luna

OpenAI

Vydáno Aktualizováno
Kontextové okno
1M
1 050 000 tokenů
Maximální délka odpovědi
128K
128 000 tokenů
Vstup / Výstup
text, obrázek → text

Ceny API

USD / 1 milion tokenů

VstupVýstupVstup v mezipaměti
  • $0,20
openrouter
  • $1,20
openrouter
  • $0,02
openrouter

Časová osa

  1. · Dostupnost API · zdrojový odkaz
Cena vstupu / výstupu · USD / 1 milion tokenů
ModelZdrojové odkazyCena vstupu / výstupu
gpt-5.6-luna
batch · long context
openai
Trasa API není dostupná
$0,20 (Vstup > 272 000 tokenů) / $0,90 (Vstup > 272 000 tokenů)
gpt-5.6-luna
batch · short context
openai
Trasa API není dostupná
$0,10 (Vstup ≤ 272 000 tokenů) / $0,60 (Vstup ≤ 272 000 tokenů)
gpt-5.6-luna
fast · long context
openai
Trasa API není dostupná
$0,80 (Vstup > 272 000 tokenů) / $3,60 (Vstup > 272 000 tokenů)
gpt-5.6-luna
fast · short context
openai
Trasa API není dostupná
$0,40 (Vstup ≤ 272 000 tokenů) / $2,40 (Vstup ≤ 272 000 tokenů)
gpt-5.6-luna
flex · long context
openai
Trasa API není dostupná
$0,20 (Vstup > 272 000 tokenů) / $0,90 (Vstup > 272 000 tokenů)
gpt-5.6-luna
flex · short context
openai
Trasa API není dostupná
$0,10 (Vstup ≤ 272 000 tokenů) / $0,60 (Vstup ≤ 272 000 tokenů)
gpt-5.6-luna
standard · long context
openai
Trasa API není dostupná
$0,40 (Vstup > 272 000 tokenů) / $1,80 (Vstup > 272 000 tokenů)
gpt-5.6-luna
standard · short context
openai
Trasa API není dostupná
$0,20 (Vstup ≤ 272 000 tokenů) / $1,20 (Vstup ≤ 272 000 tokenů)
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. · Potvrzené použití · OpenAI · official articles · How we detect frontier model misalignment
  2. · Katalogový výpis · GitHub · openai/openai-node · code
    Úryvek
    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
  3. · Katalogový výpis · GitHub · openai/openai-agents-python · code
    Úryvek
    """ 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
  4. · Katalogový výpis · GitHub · openai/codex · code
    Úryvek
    ").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 })

    Tato zmínka v kódu nepotvrzuje používaný identifikátor modelu.

  5. · Katalogový výpis · GitHub · openai/codex · code
    Úryvek
    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",
  6. · Katalogový výpis · GitHub · openai/openai-agents-python · code
    Úryvek
    #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="

    Tato zmínka v kódu nepotvrzuje používaný identifikátor modelu.

  7. · Katalogový výpis · GitHub · openai/openai-python · code
    Úryvek
    " 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",
  8. · Katalogový výpis · GitHub · openai/openai-agents-js · code
    Úryvek
    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 //
  9. · Zdrojové odkazy · OpenAI · ChatGPT release notes
    Úryvek
    GPT‑5.6 Luna will become the default model for Free and Go users this week
  10. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    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.
  11. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    ⚡️ 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.
  12. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    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.
  13. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    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
  14. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    ⚡️ 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.
  15. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    ⚡️ 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.
  16. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    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.
  17. · Příspěvky uživatele Alex · Alex Getman
    Úryvek
    Using GPT 5.6 Luna Max, you get the power of March’s flagship GPT 5.4 xhigh for one thirteenth of its price.

Signály 2

Specifikace

GPT-5.6 Luna je AI model od OpenAI, vydaný 2026-07-09. Kontextové okno má velikost 1 050 000 tokenů. Maximální délka výstupu je 128 000 tokenů. Cena za milion tokenů je $0,20 pro vstup a $1,20 pro výstup.

Kontextové okno
1 050 000
Maximální délka odpovědi
128 000
Vstup
text · obrázek
Výstup
text
Vstup · USD / 1 milion tokenů
$0,20
Výstup · USD / 1 milion tokenů
$1,20
Vstup v mezipaměti · USD / 1 milion tokenů
$0,02

Otázky

Jaké je kontextové okno GPT-5.6 Luna?

Kontextové okno má velikost 1 050 000 tokenů. Maximální délka výstupu je 128 000 tokenů.

Kolik stojí GPT-5.6 Luna?

Cena za milion tokenů je $0,20 pro vstup a $1,20 pro výstup. Vstup z mezipaměti stojí $0,02 za milion tokenů.

Kdy byl vydán GPT-5.6 Luna?

2026-07-09.