Alex GetmanAI 早期信号

GPT-6 Astra

OpenAI

已发布 更新于
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
  • $10.00
openrouter
  • $50.00
openrouter
  • $1.00
openrouter

时间线

  1. · API 开放 · 参考链接 · 参考链接
  2. · 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-6-astra
batch · long context
openai
API 路由不可用
$10.00 (输入 > 272,000 token) / $37.50 (输入 > 272,000 token)
gpt-6-astra
batch · short context
openai
API 路由不可用
$5.00 (输入 ≤ 272,000 token) / $25.00 (输入 ≤ 272,000 token)
gpt-6-astra
fast · long context
openai
API 路由不可用
$40.00 (输入 > 272,000 token) / $150.00 (输入 > 272,000 token)
gpt-6-astra
fast · short context
openai
API 路由不可用
$20.00 (输入 ≤ 272,000 token) / $100.00 (输入 ≤ 272,000 token)
gpt-6-astra
flex · long context
openai
API 路由不可用
$10.00 (输入 > 272,000 token) / $37.50 (输入 > 272,000 token)
gpt-6-astra
flex · short context
openai
API 路由不可用
$5.00 (输入 ≤ 272,000 token) / $25.00 (输入 ≤ 272,000 token)
gpt-6-astra
standard · long context
openai
API 路由不可用
$20.00 (输入 > 272,000 token) / $75.00 (输入 > 272,000 token)
gpt-6-astra
standard · short context
openai
API 路由不可用
$10.00 (输入 ≤ 272,000 token) / $50.00 (输入 ≤ 272,000 token)
gpt-6-astra
ultrafast · long context
openai
API 路由不可用
$120.00 (输入 > 272,000 token) / $450.00 (输入 > 272,000 token)
gpt-6-astra
ultrafast · short context
openai
API 路由不可用
$60.00 (输入 ≤ 272,000 token) / $300.00 (输入 ≤ 272,000 token)
openai/gpt-6-astra-pro
standard
openrouter$10.00 / $50.00
openai/gpt-6-astra-pro:batch
batch
openrouter$5.00 / $25.00
  1. · 已确认使用 · OpenAI · official articles · A model guide for the GPT-6 family
  2. · 参考链接 · OpenAI · official articles
    摘录
    When we introduced GPT‑6 Astra, we demonstrated how far our models have come in using computers for professional work, from preparing documents to testing websites
  3. · 已确认使用 · OpenAI · official articles · How Jump Trading is scaling quant research with ChatGPT
    摘录
    Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
  4. · 参考链接 · OpenAI · official articles
    摘录
    Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
  5. · 参考链接 · OpenAI · official articles
  6. · 参考链接 · OpenAI · official articles
    摘录
    Making longer videos possible with GPT‑6 Astra
  7. · 已确认使用 · OpenAI · official articles · Asana cuts model costs 76x in browser tests with GPT-6.1 Sol
  8. · 参考链接 · OpenAI · official articles
    摘录
    We used some of our most capable and aligned models, including our upcoming GPT‑6 Astra Cyber model and an internal frontier model
  9. · 已确认使用 · OpenAI · official articles · Greptile takes bug detection beyond code review with GPT-6 Astra
    摘录
    How Greptile uses GPT‑6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework
  10. · 已确认使用 · OpenAI · official articles · Retell uses OpenAI models to help power 100M monthly calls
  11. · 已确认使用 · OpenAI · official articles · Qodo builds context into AI code review with Codex
  12. · 已确认使用 · OpenAI · official articles · DevRev delivers autonomous self-service with GPT-6.1 Sol
    摘录
    DevRev’s sales engineers also use GPT‑6 Astra to create demos for the company’s booths at international conferences
  13. · 已确认使用 · OpenAI · official articles · Merge builds product and business tools with OpenAI technology
    摘录
    For its own product development, Merge uses GPT‑6 Astra
  14. · 参考链接 · OpenAI · official articles
  15. · 参考链接 · OpenAI · official articles
  16. · 已确认使用 · OpenAI · official articles · Introducing Astra for Law
  17. · 参考链接 · OpenAI · official articles
    摘录
    It will appear in the model picker as “GPT‑6 Astra Law” and in the API as gpt-6-astra-law
  18. · 参考链接 · OpenAI · official articles
    摘录
    We’ve also brought GPT‑6 Astra’s improved communication style to Sol and Luna, which we think will be especially noticeable in technical and coding conversations
  19. · 目录记录 · GitHub · openai/openai-node · code
    摘录
    ils and * recommended replacements. * - "gpt-3.5-turbo-1106": Announced shutdown date: 2026-09-28. See * https://developers.openai.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-5-20
  20. · 已确认使用 · OpenAI · official articles · Cogent and OpenAI build cyber defense factories for enterprises
  21. · 目录记录 · GitHub · openai/codex · code
    摘录
    es::start_mock_server().await; let board = responses::start_mock_server().await; let url = board.uri(); let root = test_codex() .with_model("gpt-6-astra") .with_config(move |config| { configure(config); config.ephemeral = true; for feature in [ Feature::CodeMode, Feature::CodeModeOnly, Feature::CodeModeHost, ] { config .features

    此代码引用并不能证实这是实际使用中的模型标识符。

  22. · 目录记录 · GitHub · openai/codex · code
    摘录
    EL_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", /*priority*/ 0, ), bedrock_model( bundled_openai_model(GPT_6_ASTRA_OPENAI_MODEL_ID), AMAZON_BEDROCK_GPT_6_ASTRA_MODEL_ID, "GPT-6-Astra", /*priority*/ 1, ), bedrock_mod
  23. · 目录记录 · GitHub · openai/openai-agents-python · code
    摘录
    ody={"reasoning_effort": "low"}), False, "low", ), ("gpt-6-sol", "string", "none", ModelSettings(), False, None), ("gpt-6.1-sol", "string", "function", ModelSettings(), False, None), ("gpt-6-astra", "string", "function", ModelSettings(), False, None), ("gpt-6-sol-unknown", "string", "function", ModelSettings(), False, None), ("gpt-6-sol", "string", "function", ModelSettings(), True, None), ], ) @pytest.mark.parametrize("stream", [False, True]) async def test_gpt6_tool_request_defaults( name: str, entry: str, tools: str, settings: ModelSettings, responses: bool, expected: str | None, stream: bool, ) -> None: if responses and stream: pytest.skip("Responses preservation is covered by the non-streaming request.") before = settings.to_json_dict() bodies: list[dic

    此代码引用并不能证实这是实际使用中的模型标识符。

  24. · 目录记录 · GitHub · openai/openai-python · code
    摘录
    ormat, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters. """ 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-
  25. · 目录记录 · GitHub · openai/openai-agents-js · code
    摘录
    (): boolean { return isGpt5OrNewerReasoningModel(getDefaultModel()); } const DEFAULT_REASONING_EFFORT_PATTERNS: Array< readonly [ RegExp, Exclude<ModelSettingsReasoningEffort, 'minimal' | 'xhigh' | 'max' | null>, ] > = [ [/^gpt-6-astra$/, 'low'], [/^gpt-5(?:-\d{4}-\d{2}-\d{2})?$/, 'low'], [/^gpt-5\.1(?:-\d{4}-\d{2}-\d{2})?$/, 'none'], [/^gpt-5\.2(?:-\d{4}-\d{2}-\d{2})?$/, 'none'], [/^gpt-5\.2-pro(?:-\d{4}-\d{2}-\d{2})?$/, 'medium'], [/^gpt-5\.2-codex$/, 'low'], [/^gpt-5\.3-codex$/, 'none'], [/^gpt-5\.4(?:-\d{4}-\d{2}-\d{2})?$/, 'none'], [/^gpt-5\.4-pro(?:-\d{4}-\d{2}-\d{2})?$/, 'medium'], [/^gpt-5\.4-mini(?:-\d{4}-\d{2}-\d{2})?$/, 'none'], [/^gpt-5\.4-nano(?:-\d{4}-\d{2}-\d{2})?$/, 'none'], [/^gpt-5\.5(?:-\d{4}-\d{2}-\d{2})?$/, 'none'], [/^gpt-5\.6$/, 'none'], [/^gpt-5\.6-sol(?:-\d{4}-\d{2}-\d{2})?$/, 'none'], [/^gpt-5\.6-terra(?:-\d{4
  26. · 目录记录 · Vertex AI · quotas
  27. · Alex 的文章 · Alex Getman
    摘录
    Kimi K3.1 Pro benchmarks are out! Of all these benchmarks, I trust Terminal-Bench 4.0 the most. And the results are impressive: Kimi K3.1 Pro scores 65.7, just 0.7 points behind the leader, Opus 5.5, while outperforming GPT-6 Astra by 7.5 points.
  28. · Alex 的文章 · 系列 · Alex Getman
    摘录
    Looks like Astra 6.1 is coming OpenAI rolled out a private test model gpt-6-astra-api-priv-ev3
  29. · 参考链接 · OpenAI · news
    摘录
    Higgsfield brings creators longer videos with GPT-6 Astra, precise visuals with GPT-Image-2.5, and a path to voice filmmaking with GPT-Live
  30. · Alex 的文章 · Alex Getman
    摘录
    Meta just released Muse Wonder According to the benchmarks, it's right up there with GPT 6 Astra and Claude Opus 5.5. The results look impressive, but the model might be heavily optimized for benchmarks. It's still unclear how well it actually performs in real world use. And yeah, most of you probably won't be able to try it through a subscription, since Muse is still only available in the US.
  31. · Alex 的文章 · Alex Getman
    摘录
    🚨 The French at Mistral just dropped Large 4 Looks like Europe’s biggest hope in frontier AI is still alive. 1 trillion parameters, with 49B active at a time. In some benchmarks, it already beats GPT 6 Astra and competes with the strongest open weight models. The API is live now, with weights coming by the end of October. And yes, Mistral internally calls it Le Chonk. After the fat cat meme. https://www.youtube.com/watch?v=hD51W2txi1Y
  32. · Alex 的文章 · Alex Getman
    摘录
    🚨 Gemini 4 Argon scores 53 and ties for 3rd place with Fable 5.1 and GPT 6 Astra on the AA Intelligence Index
  33. · Alex 的文章 · Alex Getman
    摘录
    🚨 Sonnet 5.5 Max beats GPT-6 Astra Max on the Intelligence Index vs. cost curve A few other things stand out: 1. At medium, GPT-6 Sol is much cheaper than Sonnet 5.5 at a fairly similar intelligence level. 2. Around the Pareto line, GPT-6 Sol Max and Sonnet 5.5 High are basically neck and neck. 3. GPT-6 Astra Max lands roughly around Sonnet 5.5 XHigh. + Sonnet 5.5 Max is in a league of its own at the top.
  34. · Alex 的文章 · Alex Getman
    摘录
    🚨 Gemini 4.0 Pro specs leaked • Pricing: $2.25/$11.25 • 2M token context window • Beats GPT-6 Astra and Claude Fable 5.1 on almost every reported benchmark • While being significantly cheaper than both
  35. · Alex 的文章 · Alex Getman
    摘录
    🚨 Union Alpha just dropped in stealth on OpenCode It scores around 51% on Terminal Bench v4 at roughly $1.5 per task, putting it close to GPT 6 Astra high for much less. My guess is this is a new Chinese model, possibly Kimi. Kimi has also brought its paid plans back to the site after pausing new memberships. The timing lines up.
  36. · Alex 的文章 · Alex Getman
    摘录
    OpenAI has a new internal model that is way ahead of GPT 6 Astra in math On a curated set of open math problems, it reaches about 48% pass rate with more test time compute. GPT 6 Astra peaks at around 17%.
  37. · Alex 的文章 · Alex Getman
    摘录
    🚨 OpenAI’s new internal model solved the Navier-Stokes Millennium Prize Problem Around 10,000 agents worked on the solution for 88 hours, powered by a model significantly more capable than GPT 6 Astra. After the solution was found, GPT 6 Astra formalized and verified the proof in Lean.
  38. · Alex 的文章 · Alex Getman
    摘录
    🚨 Fable 5.2 could launch this month after Astra’s strong debut Anthropic is reportedly preparing its first fresh pretrain for Fable ahead of its IPO. People there are confident it can dethrone Astra. For context: Fable 5.1 and GPT 6 Astra currently share #1 on AA, with Fable slightly ahead in coding and Astra much stronger on 3D tasks.
  39. · Alex 的文章 · Alex Getman
    摘录
    🚨 GPT-6 Astra is officially #1 on the updated Artificial Analysis Intelligence Index, sharing the top spot with Claude Fable 5.1.
  40. · Alex 的文章 · Alex Getman
    摘录
    GPT 6 Astra set a new record in MazeBench, a 3D puzzle benchmark It explored 40% of all rooms and collected 14% of gems Fable 5.1 reached just 4.3% of rooms and collected 2% of gems
  41. · Alex 的文章 · Alex Getman
    摘录
    GPT-6 Astra Fast mode quietly went from 1.5x to 2x speed, with the same 2.5x usage multiplier. It’s still pretty expensive though. A task that would count as 1,000 usage units on Standard would count as 2,500 on Fast, so that’s still 150% more usage. *My previous post was deleted because I got the math wrong. I misled some of you, and I’m sorry about that.
  42. · Alex 的文章 · Alex Getman
    摘录
    Correction: I got the calculation in this post wrong. A 2.5× usage multiplier means 150% more usage, not 25%. Corrected calculation: https://alexgetman.com/403/gpt-6-astra-fast-mode-quietly-went-from-1-5x-to-2x-speed-with-the-same-2-5x-usag/ GPT-6 Astra Fast mode quietly went from 1.5x to 2x speed, with usage still at 2.5x So you’re getting double the speed for just 25% extra usage. At this point, there’s very little reason to turn Fast mode off.
  43. · Alex 的文章 · Alex Getman
    摘录
    GPT 6 Astra and Fable 5.1 got 20 attempts to pick up a block and place it into a bowl Astra: 95% success, 2.5 min, $0.94 per run Fable 5.1: 40% success, 6.8 min, $2.12 per run Astra also used 6× fewer output tokens, just 2.1k per run.
  44. · Alex 的文章 · Alex Getman
    摘录
    Claude is no longer the best model for frontend GPT-6 Astra just took the #1 spot, knocking Claude Fable 5.1 off the top The jump is massive: the previous GPT generation, GPT-5.6 Sol, was #13 A GPT model hasn’t led frontend since August 2025
  45. · Alex 的文章 · Alex Getman
    摘录
    GPT 6 Astra and Fable 5.1 got 20 attempts to pick up a block and place it into a bowl Astra: 95% success, 2.5 min, $0.94 per run Fable 5.1: 40% success, 6.8 min, $2.12 per run Astra also used 6× fewer output tokens, just 2.1k per run.
  46. · Alex 的文章 · Alex Getman
    摘录
    🚨 Plus users got access to GPT-6 Astra
  47. · Alex 的文章 · Alex Getman
    摘录
    🚨 GPT-6 Astra is out for Pro users
  48. · Alex 的文章 · Alex Getman
    摘录
    GPT-6 Astra looked like a generational leap on OpenAI’s benchmarks. Artificial Analysis puts it closer to old Fable 5 territory.
  49. · Alex 的文章 · Alex Getman
    摘录
    🚨 GPT-6 Astra is officially out https://openai.com/index/gpt-6-astra/
  50. · Alex 的文章 · Alex Getman
    摘录
    🚨 GPT-6 Astra is absolutely crushing everyone on the benchmarks
  51. · Alex 的文章 · Alex Getman
    摘录
    🚨 GPT-6 Astra has been added to the OpenAI API Launch in less than 24 hours
  52. · Alex 的文章 · Alex Getman
    摘录
    🚨 OpenAI is launching GPT 6 Astra next week It is a brand new model trained from scratch and the company’s largest since GPT 4.5. The latest internal build, codenamed mewfour, is already the release candidate.

    预测的时间未成真;保留为早期提及,而非成功预测。

信号 1

规格

GPT-6 Astra 是 OpenAI 的 AI 模型,于 2026-09-03 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 $10.00,输出 $50.00。

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
$10.00
输出 · USD / 百万 token
$50.00
缓存输入 · USD / 百万 token
$1.00

常见问题

GPT-6 Astra 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-6 Astra 的价格是多少?

每百万 token 的价格为:输入 $10.00,输出 $50.00。 缓存输入价格为每百万 token $1.00。

GPT-6 Astra 何时发布?

2026-09-03。