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GPT-6 Astra

OpenAI

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128K
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  1. · API 제공 · 근거 링크 · 근거 링크
  2. · API 제공 · 근거 링크
입력/출력 가격 · USD / 토큰 100만 개
모델근거 링크입력/출력 가격
gpt-6-astra
batch · long context
openai
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gpt-6-astra
batch · short context
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gpt-6-astra
fast · long context
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$40.00 (입력 > 272,000 토큰) / $150.00 (입력 > 272,000 토큰)
gpt-6-astra
fast · short context
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gpt-6-astra
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gpt-6-astra
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gpt-6-astra
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gpt-6-astra
standard · short context
openai
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gpt-6-astra
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gpt-6-astra
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$60.00 (입력 ≤ 272,000 토큰) / $300.00 (입력 ≤ 272,000 토큰)
openai/gpt-6-astra-pro
standard
openrouter$10.00 / $50.00
openai/gpt-6-astra-pro:batch
batch
openrouter$5.00 / $25.00
  1. · 사용 확인 · OpenAI · official articles · A model guide for the GPT-6 family
  2. · 근거 링크 · OpenAI · official articles
    발췌
    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. · 사용 확인 · OpenAI · official articles · How Jump Trading is scaling quant research with ChatGPT
    발췌
    Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
  4. · 근거 링크 · OpenAI · official articles
    발췌
    Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
  5. · 근거 링크 · OpenAI · official articles
  6. · 근거 링크 · OpenAI · official articles
    발췌
    Making longer videos possible with GPT‑6 Astra
  7. · 사용 확인 · OpenAI · official articles · Asana cuts model costs 76x in browser tests with GPT-6.1 Sol
  8. · 근거 링크 · OpenAI · official articles
    발췌
    We used some of our most capable and aligned models, including our upcoming GPT‑6 Astra Cyber model and an internal frontier model
  9. · 사용 확인 · OpenAI · official articles · Greptile takes bug detection beyond code review with GPT-6 Astra
    발췌
    How Greptile uses GPT‑6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework
  10. · 사용 확인 · OpenAI · official articles · Retell uses OpenAI models to help power 100M monthly calls
  11. · 사용 확인 · OpenAI · official articles · Qodo builds context into AI code review with Codex
  12. · 사용 확인 · OpenAI · official articles · DevRev delivers autonomous self-service with GPT-6.1 Sol
    발췌
    DevRev’s sales engineers also use GPT‑6 Astra to create demos for the company’s booths at international conferences
  13. · 사용 확인 · OpenAI · official articles · Merge builds product and business tools with OpenAI technology
    발췌
    For its own product development, Merge uses GPT‑6 Astra
  14. · 근거 링크 · OpenAI · official articles
  15. · 근거 링크 · OpenAI · official articles
  16. · 사용 확인 · OpenAI · official articles · Introducing Astra for Law
  17. · 근거 링크 · OpenAI · official articles
    발췌
    It will appear in the model picker as “GPT‑6 Astra Law” and in the API as gpt-6-astra-law
  18. · 근거 링크 · OpenAI · official articles
    발췌
    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. · 카탈로그 등록 · GitHub · openai/openai-node · code
    발췌
    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. · 사용 확인 · OpenAI · official articles · Cogent and OpenAI build cyber defense factories for enterprises
  21. · 카탈로그 등록 · GitHub · openai/codex · code
    발췌
    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

    이 코드 참조는 실제로 사용되는 모델 식별자를 입증하지 않습니다.

  22. · 카탈로그 등록 · GitHub · openai/codex · code
    발췌
    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. · 카탈로그 등록 · GitHub · openai/openai-agents-python · code
    발췌
    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

    이 코드 참조는 실제로 사용되는 모델 식별자를 입증하지 않습니다.

  24. · 카탈로그 등록 · GitHub · openai/openai-python · code
    발췌
    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. · 카탈로그 등록 · GitHub · openai/openai-agents-js · code
    발췌
    (): 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. · 카탈로그 등록 · Vertex AI · quotas
  27. · Alex의 게시물 · Alex Getman
    발췌
    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. · Alex의 게시물 · 제품군 · Alex Getman
    발췌
    Looks like Astra 6.1 is coming OpenAI rolled out a private test model gpt-6-astra-api-priv-ev3
  29. · 근거 링크 · OpenAI · news
    발췌
    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. · Alex의 게시물 · Alex Getman
    발췌
    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. · Alex의 게시물 · Alex Getman
    발췌
    🚨 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. · Alex의 게시물 · Alex Getman
    발췌
    🚨 Gemini 4 Argon scores 53 and ties for 3rd place with Fable 5.1 and GPT 6 Astra on the AA Intelligence Index
  33. · Alex의 게시물 · Alex Getman
    발췌
    🚨 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. · Alex의 게시물 · Alex Getman
    발췌
    🚨 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. · Alex의 게시물 · Alex Getman
    발췌
    🚨 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. · Alex의 게시물 · Alex Getman
    발췌
    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. · Alex의 게시물 · Alex Getman
    발췌
    🚨 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. · Alex의 게시물 · Alex Getman
    발췌
    🚨 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. · Alex의 게시물 · Alex Getman
    발췌
    🚨 GPT-6 Astra is officially #1 on the updated Artificial Analysis Intelligence Index, sharing the top spot with Claude Fable 5.1.
  40. · Alex의 게시물 · Alex Getman
    발췌
    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. · Alex의 게시물 · Alex Getman
    발췌
    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. · Alex의 게시물 · Alex Getman
    발췌
    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. · Alex의 게시물 · Alex Getman
    발췌
    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. · Alex의 게시물 · Alex Getman
    발췌
    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. · Alex의 게시물 · Alex Getman
    발췌
    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. · Alex의 게시물 · Alex Getman
    발췌
    🚨 Plus users got access to GPT-6 Astra
  47. · Alex의 게시물 · Alex Getman
    발췌
    🚨 GPT-6 Astra is out for Pro users
  48. · Alex의 게시물 · Alex Getman
    발췌
    GPT-6 Astra looked like a generational leap on OpenAI’s benchmarks. Artificial Analysis puts it closer to old Fable 5 territory.
  49. · Alex의 게시물 · Alex Getman
    발췌
    🚨 GPT-6 Astra is officially out https://openai.com/index/gpt-6-astra/
  50. · Alex의 게시물 · Alex Getman
    발췌
    🚨 GPT-6 Astra is absolutely crushing everyone on the benchmarks
  51. · Alex의 게시물 · Alex Getman
    발췌
    🚨 GPT-6 Astra has been added to the OpenAI API Launch in less than 24 hours
  52. · Alex의 게시물 · Alex Getman
    발췌
    🚨 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.

    예측한 시기는 맞지 않았습니다. 성공한 예측이 아닌 이른 언급으로 보존합니다.

시그널 1

사양

GPT-6 Astra: OpenAI의 AI 모델, 출시일 2026-09-03. 컨텍스트 윈도는 1,050,000 토큰입니다. 최대 출력은 128,000 토큰입니다. 토큰 100만 개당 요금은 입력 $10.00, 출력 $50.00입니다.

컨텍스트 창
1,050,000
최대 출력
128,000
입력
텍스트 · 이미지
출력
텍스트
입력 · USD / 토큰 100만 개
$10.00
출력 · USD / 토큰 100만 개
$50.00
캐시 입력 · USD / 토큰 100만 개
$1.00

자주 묻는 질문

GPT-6 Astra의 컨텍스트 창 크기는 얼마인가요?

컨텍스트 윈도는 1,050,000 토큰입니다. 최대 출력은 128,000 토큰입니다.

GPT-6 Astra의 가격은 얼마인가요?

토큰 100만 개당 요금은 입력 $10.00, 출력 $50.00입니다. 캐시 입력은 100만 개당 $1.00입니다.

GPT-6 Astra의 출시일은 언제인가요?

2026-09-03.