
GPT-5.6 Luna
OpenAI
- Context window
- 1M 1,050,000 token
- Pinakamahabang output
- 128K 128,000 token
- Input / Output
- teksto, larawan → teksto
Mga presyo ng API
USD / 1 milyong token
| Input | Output | Naka-cache na input |
|---|---|---|
|
|
|
Takdang panahon
- · Magagamit sa API · link sa ebidensiya
Presyo ng input / output · USD / 1 milyong token
| Modelo | Mga link sa ebidensiya | Presyo ng input / output |
|---|---|---|
gpt-5.6-lunabatch · long context | openai Hindi available ang ruta ng API | $0.20 (Input > 272,000 token) / $0.90 (Input > 272,000 token) |
gpt-5.6-lunabatch · short context | openai Hindi available ang ruta ng API | $0.10 (Input ≤ 272,000 token) / $0.60 (Input ≤ 272,000 token) |
gpt-5.6-lunafast · long context | openai Hindi available ang ruta ng API | $0.80 (Input > 272,000 token) / $3.60 (Input > 272,000 token) |
gpt-5.6-lunafast · short context | openai Hindi available ang ruta ng API | $0.40 (Input ≤ 272,000 token) / $2.40 (Input ≤ 272,000 token) |
gpt-5.6-lunaflex · long context | openai Hindi available ang ruta ng API | $0.20 (Input > 272,000 token) / $0.90 (Input > 272,000 token) |
gpt-5.6-lunaflex · short context | openai Hindi available ang ruta ng API | $0.10 (Input ≤ 272,000 token) / $0.60 (Input ≤ 272,000 token) |
gpt-5.6-lunastandard · long context | openai Hindi available ang ruta ng API | $0.40 (Input > 272,000 token) / $1.80 (Input > 272,000 token) |
gpt-5.6-lunastandard · short context | openai Hindi available ang ruta ng API | $0.20 (Input ≤ 272,000 token) / $1.20 (Input ≤ 272,000 token) |
gpt-5.6-lunastandard · teksto | opencode-go | $0.20 / $1.20 |
openai/gpt-5.6-luna-prostandard | openrouter | $0.20 / $1.20 |
openai/gpt-5.6-luna-pro:batchbatch | openrouter | $0.10 / $0.60 |
- · Kumpirmadong paggamit · OpenAI · official articles · Ringg’s AI agents resolve up to 65% of customer calls with OpenAI
Sipi
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
- · Kumpirmadong paggamit · OpenAI · official articles · How we detect frontier model misalignment
- · Pagkakalista sa katalogo · GitHub · openai/openai-node · code
Sipi
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
- · Pagkakalista sa katalogo · GitHub · openai/openai-agents-python · code
Sipi
""" 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
- · Pagkakalista sa katalogo · GitHub · openai/codex · code
Sipi
").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 })
Hindi pinatutunayan ng pagbanggit na ito sa code ang isang ginagamit na identifier ng modelo.
- · Pagkakalista sa katalogo · GitHub · openai/codex · code
Sipi
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",
- · Pagkakalista sa katalogo · GitHub · openai/openai-agents-python · code
Sipi
#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="
Hindi pinatutunayan ng pagbanggit na ito sa code ang isang ginagamit na identifier ng modelo.
- · Pagkakalista sa katalogo · GitHub · openai/openai-python · code
Sipi
" 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",
- · Pagkakalista sa katalogo · GitHub · openai/openai-agents-js · code
Sipi
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 //
- · Mga link sa ebidensiya · OpenAI · ChatGPT release notes
Sipi
GPT‑5.6 Luna will become the default model for Free and Go users this week
- · Mga post ni Alex · Alex Getman
Sipi
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.
- · Mga post ni Alex · Alex Getman
Sipi
⚡️ 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.
- · Mga post ni Alex · Alex Getman
Sipi
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.
- · Mga post ni Alex · Alex Getman
Sipi
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
- · Mga post ni Alex · Alex Getman
Sipi
⚡️ 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.
- · Mga post ni Alex · Alex Getman
Sipi
⚡️ 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.
- · Mga post ni Alex · Alex Getman
Sipi
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.
- · Mga post ni Alex · Alex Getman
Sipi
Using GPT 5.6 Luna Max, you get the power of March’s flagship GPT 5.4 xhigh for one thirteenth of its price.
Mga senyal 2
Natukoy ang GPT-5.6 Luna sa Arena
Mga espesipikasyon
Ang GPT-5.6 Luna ay isang modelo mula sa OpenAI, na inilabas noong 2026-07-09. Ang context window ay 1,050,000 token. Ang pinakamahabang output ay 128,000 token. Ang presyo ay $0.20 sa bawat isang milyong input token at $1.20 sa bawat isang milyong output token.
- Context window
- 1,050,000
- Pinakamahabang output
- 128,000
- Input
- teksto · larawan
- Output
- teksto
- Input · USD / 1 milyong token
- $0.20
- Output · USD / 1 milyong token
- $1.20
- Naka-cache na input · USD / 1 milyong token
- $0.02
Mga tanong
Gaano kalaki ang context window ng GPT-5.6 Luna?
Ang context window ay 1,050,000 token. Ang pinakamahabang output ay 128,000 token.
Magkano ang GPT-5.6 Luna?
Ang presyo ay $0.20 sa bawat isang milyong input token at $1.20 sa bawat isang milyong output token. Ang naka-cache na input ay $0.02 sa bawat isang milyong token.
Kailan inilabas ang GPT-5.6 Luna?
Noong 2026-07-09.