
GPT-5.6 Luna
OpenAI
- 上下文窗口
- 1M 1,050,000 token
- 最大输出
- 128K 128,000 token
- 输入 / 输出
- 文本, 图像 → 文本
API 价格
USD / 百万 token
| 输入 | 输出 | 缓存输入 |
|---|---|---|
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时间线
- · API 开放 · 参考链接
输入/输出价格 · USD / 百万 token
| 模型 | 参考链接 | 输入/输出价格 |
|---|---|---|
gpt-5.6-lunabatch · long context | openai API 路由不可用 | $0.20 (输入 > 272,000 token) / $0.90 (输入 > 272,000 token) |
gpt-5.6-lunabatch · short context | openai API 路由不可用 | $0.10 (输入 ≤ 272,000 token) / $0.60 (输入 ≤ 272,000 token) |
gpt-5.6-lunafast · long context | openai API 路由不可用 | $0.80 (输入 > 272,000 token) / $3.60 (输入 > 272,000 token) |
gpt-5.6-lunafast · short context | openai API 路由不可用 | $0.40 (输入 ≤ 272,000 token) / $2.40 (输入 ≤ 272,000 token) |
gpt-5.6-lunaflex · long context | openai API 路由不可用 | $0.20 (输入 > 272,000 token) / $0.90 (输入 > 272,000 token) |
gpt-5.6-lunaflex · short context | openai API 路由不可用 | $0.10 (输入 ≤ 272,000 token) / $0.60 (输入 ≤ 272,000 token) |
gpt-5.6-lunastandard · long context | openai API 路由不可用 | $0.40 (输入 > 272,000 token) / $1.80 (输入 > 272,000 token) |
gpt-5.6-lunastandard · short context | openai API 路由不可用 | $0.20 (输入 ≤ 272,000 token) / $1.20 (输入 ≤ 272,000 token) |
gpt-5.6-lunastandard · 文本 | 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 |
- · 已确认使用 · OpenAI · official articles · Ringg’s AI agents resolve up to 65% of customer calls with OpenAI
摘录
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
- · 已确认使用 · OpenAI · official articles · How we detect frontier model misalignment
- · 目录记录 · GitHub · openai/openai-node · code
摘录
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
- · 目录记录 · GitHub · openai/openai-agents-python · code
摘录
""" 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
- · 目录记录 · GitHub · openai/codex · code
摘录
").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 })
此代码引用并不能证实这是实际使用中的模型标识符。
- · 目录记录 · GitHub · openai/codex · code
摘录
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",
- · 目录记录 · GitHub · openai/openai-agents-python · code
摘录
#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="
此代码引用并不能证实这是实际使用中的模型标识符。
- · 目录记录 · GitHub · openai/openai-python · code
摘录
" 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",
- · 目录记录 · GitHub · openai/openai-agents-js · code
摘录
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 //
- · 参考链接 · OpenAI · ChatGPT release notes
摘录
GPT‑5.6 Luna will become the default model for Free and Go users this week
- · Alex 的文章 · Alex Getman
摘录
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.
- · Alex 的文章 · Alex Getman
摘录
⚡️ 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.
- · Alex 的文章 · Alex Getman
摘录
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.
- · Alex 的文章 · Alex Getman
摘录
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
- · Alex 的文章 · Alex Getman
摘录
⚡️ 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.
- · Alex 的文章 · Alex Getman
摘录
⚡️ 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.
- · Alex 的文章 · Alex Getman
摘录
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.
- · Alex 的文章 · Alex Getman
摘录
Using GPT 5.6 Luna Max, you get the power of March’s flagship GPT 5.4 xhigh for one thirteenth of its price.
信号 2
在 Arena 发现 GPT-5.6 Luna
已确认15条参考链接
规格
GPT-5.6 Luna 是 OpenAI 的 AI 模型,于 2026-07-09 发布。 上下文窗口为1,050,000 token。 最大输出为128,000 token。 每百万 token 的价格为:输入 $0.20,输出 $1.20。
- 上下文窗口
- 1,050,000
- 最大输出
- 128,000
- 输入
- 文本 · 图像
- 输出
- 文本
- 输入 · USD / 百万 token
- $0.20
- 输出 · USD / 百万 token
- $1.20
- 缓存输入 · USD / 百万 token
- $0.02
常见问题
GPT-5.6 Luna 的上下文窗口有多大?
上下文窗口为1,050,000 token。 最大输出为128,000 token。
GPT-5.6 Luna 的价格是多少?
每百万 token 的价格为:输入 $0.20,输出 $1.20。 缓存输入价格为每百万 token $0.02。
GPT-5.6 Luna 何时发布?
2026-07-09。