Alex Getmantidlige AI-signaler

GPT-5.6 Luna

OpenAI

Lanceret Opdateret
Kontekstvindue
1M
1.050.000 tokens
Maksimal outputlængde
128K
128.000 tokens
Input / Output
tekst, billede → tekst

API-priser

USD / 1 mio. tokens

InputOutputCachelagret input
  • $0,20
openrouter
  • $1,20
openrouter
  • $0,02
openrouter

Tidslinje

  1. · Tilgængelighed via API · kildelink
Pris for input / output · USD / 1 mio. tokens
ModelKildelinksPris for input / output
gpt-5.6-luna
batch · long context
openai
API-rute er ikke tilgængelig
$0,20 (Input > 272.000 tokens) / $0,90 (Input > 272.000 tokens)
gpt-5.6-luna
batch · short context
openai
API-rute er ikke tilgængelig
$0,10 (Input ≤ 272.000 tokens) / $0,60 (Input ≤ 272.000 tokens)
gpt-5.6-luna
fast · long context
openai
API-rute er ikke tilgængelig
$0,80 (Input > 272.000 tokens) / $3,60 (Input > 272.000 tokens)
gpt-5.6-luna
fast · short context
openai
API-rute er ikke tilgængelig
$0,40 (Input ≤ 272.000 tokens) / $2,40 (Input ≤ 272.000 tokens)
gpt-5.6-luna
flex · long context
openai
API-rute er ikke tilgængelig
$0,20 (Input > 272.000 tokens) / $0,90 (Input > 272.000 tokens)
gpt-5.6-luna
flex · short context
openai
API-rute er ikke tilgængelig
$0,10 (Input ≤ 272.000 tokens) / $0,60 (Input ≤ 272.000 tokens)
gpt-5.6-luna
standard · long context
openai
API-rute er ikke tilgængelig
$0,40 (Input > 272.000 tokens) / $1,80 (Input > 272.000 tokens)
gpt-5.6-luna
standard · short context
openai
API-rute er ikke tilgængelig
$0,20 (Input ≤ 272.000 tokens) / $1,20 (Input ≤ 272.000 tokens)
gpt-5.6-luna
standard · tekst
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. · Bekræftet brug · OpenAI · official articles · How we detect frontier model misalignment
  2. · Katalogpost · GitHub · openai/openai-node · code
    Uddrag
    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. · Katalogpost · GitHub · openai/openai-agents-python · code
    Uddrag
    """ 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. · Katalogpost · GitHub · openai/codex · code
    Uddrag
    ").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 })

    Denne henvisning i koden bekræfter ikke en modelidentifikator i brug.

  5. · Katalogpost · GitHub · openai/codex · code
    Uddrag
    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. · Katalogpost · GitHub · openai/openai-agents-python · code
    Uddrag
    #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="

    Denne henvisning i koden bekræfter ikke en modelidentifikator i brug.

  7. · Katalogpost · GitHub · openai/openai-python · code
    Uddrag
    " 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. · Katalogpost · GitHub · openai/openai-agents-js · code
    Uddrag
    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. · Kildelinks · OpenAI · ChatGPT release notes
    Uddrag
    GPT‑5.6 Luna will become the default model for Free and Go users this week
  10. · Alex' indlæg · Alex Getman
    Uddrag
    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. · Alex' indlæg · Alex Getman
    Uddrag
    ⚡️ 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. · Alex' indlæg · Alex Getman
    Uddrag
    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. · Alex' indlæg · Alex Getman
    Uddrag
    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. · Alex' indlæg · Alex Getman
    Uddrag
    ⚡️ 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. · Alex' indlæg · Alex Getman
    Uddrag
    ⚡️ 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. · Alex' indlæg · Alex Getman
    Uddrag
    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. · Alex' indlæg · Alex Getman
    Uddrag
    Using GPT 5.6 Luna Max, you get the power of March’s flagship GPT 5.4 xhigh for one thirteenth of its price.

Signaler 2

Specifikationer

GPT-5.6 Luna er en model fra OpenAI, lanceret den 2026-07-09. Kontekstvinduet er 1.050.000 tokens. Den maksimale outputlængde er 128.000 tokens. Prisen er $0,20 pr. million inputtokens og $1,20 pr. million outputtokens.

Kontekstvindue
1.050.000
Maksimal outputlængde
128.000
Input
tekst · billede
Output
tekst
Input · USD / 1 mio. tokens
$0,20
Output · USD / 1 mio. tokens
$1,20
Cachelagret input · USD / 1 mio. tokens
$0,02

Spørgsmål

Hvor stort er kontekstvinduet for GPT-5.6 Luna?

Kontekstvinduet er 1.050.000 tokens. Den maksimale outputlængde er 128.000 tokens.

Hvad koster GPT-5.6 Luna?

Prisen er $0,20 pr. million inputtokens og $1,20 pr. million outputtokens. Cachelagret input koster $0,02 pr. million tokens.

Hvornår blev GPT-5.6 Luna lanceret?

Den 2026-07-09.