Alex GetmanAI 早期訊號
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GPT-6 Astra

OpenAI

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  1. · API 開放 · 參考連結 · 參考連結
  2. · API 開放 · 參考連結
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gpt-6-astra
batch · long context
openai
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gpt-6-astra
batch · short context
openai
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$5.00 (輸入 ≤ 272,000 token) / $25.00 (輸入 ≤ 272,000 token)
gpt-6-astra
fast · long context
openai
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gpt-6-astra
fast · short context
openai
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$20.00 (輸入 ≤ 272,000 token) / $100.00 (輸入 ≤ 272,000 token)
gpt-6-astra
flex · long context
openai
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gpt-6-astra
flex · short context
openai
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gpt-6-astra
standard · long context
openai
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gpt-6-astra
standard · short context
openai
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$10.00 (輸入 ≤ 272,000 token) / $50.00 (輸入 ≤ 272,000 token)
gpt-6-astra
ultrafast · long context
openai
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gpt-6-astra
ultrafast · short context
openai
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$60.00 (輸入 ≤ 272,000 token) / $300.00 (輸入 ≤ 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. · 已確認使用 · OpenAI · official articles · Harvey turns legal context into stronger drafts with GPT-6 Astra
  2. · 已確認使用 · OpenAI · official articles · A model guide for the GPT-6 family
  3. · 參考連結 · OpenAI · official articles
    摘錄
    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
  4. · 已確認使用 · OpenAI · official articles · How Jump Trading is scaling quant research with ChatGPT
    摘錄
    Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
  5. · 參考連結 · OpenAI · official articles
    摘錄
    Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
  6. · 參考連結 · OpenAI · official articles
  7. · 參考連結 · OpenAI · official articles
    摘錄
    Making longer videos possible with GPT‑6 Astra
  8. · 已確認使用 · OpenAI · official articles · Asana cuts model costs 76x in browser tests with GPT-6.1 Sol
  9. · 參考連結 · OpenAI · official articles
    摘錄
    We used some of our most capable and aligned models, including our upcoming GPT‑6 Astra Cyber model and an internal frontier model
  10. · 已確認使用 · OpenAI · official articles · Greptile takes bug detection beyond code review with GPT-6 Astra
    摘錄
    How Greptile uses GPT‑6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework
  11. · 已確認使用 · OpenAI · official articles · Retell uses OpenAI models to help power 100M monthly calls
  12. · 已確認使用 · OpenAI · official articles · Qodo builds context into AI code review with Codex
  13. · 已確認使用 · OpenAI · official articles · DevRev delivers autonomous self-service with GPT-6.1 Sol
    摘錄
    DevRev’s sales engineers also use GPT‑6 Astra to create demos for the company’s booths at international conferences
  14. · 已確認使用 · OpenAI · official articles · Merge builds product and business tools with OpenAI technology
    摘錄
    For its own product development, Merge uses GPT‑6 Astra
  15. · 參考連結 · OpenAI · official articles
  16. · 參考連結 · OpenAI · official articles
  17. · 已確認使用 · OpenAI · official articles · Introducing Astra for Law
  18. · 參考連結 · OpenAI · official articles
    摘錄
    It will appear in the model picker as “GPT‑6 Astra Law” and in the API as gpt-6-astra-law
  19. · 參考連結 · OpenAI · official articles
    摘錄
    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
  20. · 目錄記錄 · GitHub · openai/openai-node · code
    摘錄
    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
  21. · 已確認使用 · OpenAI · official articles · Cogent and OpenAI build cyber defense factories for enterprises
  22. · 目錄記錄 · GitHub · openai/codex · code
    摘錄
    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

    此程式碼引用並不能證實這是實際使用中的模型識別碼。

  23. · 目錄記錄 · GitHub · openai/codex · code
    摘錄
    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
  24. · 目錄記錄 · GitHub · openai/openai-agents-python · code
    摘錄
    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

    此程式碼引用並不能證實這是實際使用中的模型識別碼。

  25. · 目錄記錄 · GitHub · openai/openai-python · code
    摘錄
    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-
  26. · 目錄記錄 · GitHub · openai/openai-agents-js · code
    摘錄
    (): 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
  27. · 目錄記錄 · Vertex AI · quotas
  28. · Alex 的文章 · Alex Getman
    摘錄
    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.
  29. · Alex 的文章 · 系列 · Alex Getman
    摘錄
    Looks like Astra 6.1 is coming OpenAI rolled out a private test model gpt-6-astra-api-priv-ev3
  30. · 參考連結 · OpenAI · news
    摘錄
    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
  31. · Alex 的文章 · Alex Getman
    摘錄
    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.
  32. · Alex 的文章 · Alex Getman
    摘錄
    🚨 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
  33. · Alex 的文章 · Alex Getman
    摘錄
    🚨 Gemini 4 Argon scores 53 and ties for 3rd place with Fable 5.1 and GPT 6 Astra on the AA Intelligence Index
  34. · Alex 的文章 · Alex Getman
    摘錄
    🚨 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.
  35. · Alex 的文章 · Alex Getman
    摘錄
    🚨 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
  36. · Alex 的文章 · Alex Getman
    摘錄
    🚨 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.
  37. · Alex 的文章 · Alex Getman
    摘錄
    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%.
  38. · Alex 的文章 · Alex Getman
    摘錄
    🚨 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.
  39. · Alex 的文章 · Alex Getman
    摘錄
    🚨 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.
  40. · Alex 的文章 · Alex Getman
    摘錄
    🚨 GPT-6 Astra is officially #1 on the updated Artificial Analysis Intelligence Index, sharing the top spot with Claude Fable 5.1.
  41. · Alex 的文章 · Alex Getman
    摘錄
    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
  42. · Alex 的文章 · Alex Getman
    摘錄
    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.
  43. · Alex 的文章 · Alex Getman
    摘錄
    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.
  44. · Alex 的文章 · Alex Getman
    摘錄
    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.
  45. · Alex 的文章 · Alex Getman
    摘錄
    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
  46. · Alex 的文章 · Alex Getman
    摘錄
    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.
  47. · Alex 的文章 · Alex Getman
    摘錄
    🚨 Plus users got access to GPT-6 Astra
  48. · Alex 的文章 · Alex Getman
    摘錄
    🚨 GPT-6 Astra is out for Pro users
  49. · Alex 的文章 · Alex Getman
    摘錄
    GPT-6 Astra looked like a generational leap on OpenAI’s benchmarks. Artificial Analysis puts it closer to old Fable 5 territory.
  50. · Alex 的文章 · Alex Getman
    摘錄
    🚨 GPT-6 Astra is officially out https://openai.com/index/gpt-6-astra/
  51. · Alex 的文章 · Alex Getman
    摘錄
    🚨 GPT-6 Astra is absolutely crushing everyone on the benchmarks
  52. · Alex 的文章 · Alex Getman
    摘錄
    🚨 GPT-6 Astra has been added to the OpenAI API Launch in less than 24 hours
  53. · Alex 的文章 · Alex Getman
    摘錄
    🚨 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.

    預測的時間未成真；保留為早期提及，而非成功預測。

訊號 1

規格

GPT-6 Astra 是 OpenAI 的 AI 模型，於 2026-09-03 發布。 上下文視窗為1,050,000 token。 最大輸出為128,000 token。 每百萬 token 的價格為：輸入 $10.00，輸出 $50.00。

上下文視窗
1,050,000
最大輸出
128,000
輸入
文字 · 影像
輸出
文字
輸入 · USD / 百萬 token
$10.00
輸出 · USD / 百萬 token
$50.00
快取輸入 · USD / 百萬 token
$1.00

常見問題

GPT-6 Astra 的上下文視窗有多大？

上下文視窗為1,050,000 token。 最大輸出為128,000 token。

GPT-6 Astra 的價格是多少？

每百萬 token 的價格為：輸入 $10.00，輸出 $50.00。 快取輸入價格為每百萬 token $1.00。

GPT-6 Astra 何時發布？

2026-09-03。