Alex Getmanisyarat awal AI
MS

GPT-6 Astra

OpenAI

Dikeluarkan Dikemas kini
Tetingkap konteks
1M
1,050,000 token
Keluaran maksimum
128K
128,000 token
Input / Output
teks, imej → teks

Harga API

USD / 1 juta token

InputOutputInput dalam cache
  • $10.00
openrouter
  • $50.00
openrouter
  • $1.00
openrouter
Kira kos penggunaan anda

Garis masa

  1. · Ketersediaan API · pautan bukti · pautan bukti
  2. · Ketersediaan API · pautan bukti
Harga input / output · USD / 1 juta token
ModelPautan buktiHarga input / output
gpt-6-astra
batch · long context
openai
Laluan API tidak tersedia
$10.00 (Input > 272,000 token) / $37.50 (Input > 272,000 token)
gpt-6-astra
batch · short context
openai
Laluan API tidak tersedia
$5.00 (Input ≤ 272,000 token) / $25.00 (Input ≤ 272,000 token)
gpt-6-astra
fast · long context
openai
Laluan API tidak tersedia
$40.00 (Input > 272,000 token) / $150.00 (Input > 272,000 token)
gpt-6-astra
fast · short context
openai
Laluan API tidak tersedia
$20.00 (Input ≤ 272,000 token) / $100.00 (Input ≤ 272,000 token)
gpt-6-astra
flex · long context
openai
Laluan API tidak tersedia
$10.00 (Input > 272,000 token) / $37.50 (Input > 272,000 token)
gpt-6-astra
flex · short context
openai
Laluan API tidak tersedia
$5.00 (Input ≤ 272,000 token) / $25.00 (Input ≤ 272,000 token)
gpt-6-astra
standard · long context
openai
Laluan API tidak tersedia
$20.00 (Input > 272,000 token) / $75.00 (Input > 272,000 token)
gpt-6-astra
standard · short context
openai
Laluan API tidak tersedia
$10.00 (Input ≤ 272,000 token) / $50.00 (Input ≤ 272,000 token)
gpt-6-astra
ultrafast · long context
openai
Laluan API tidak tersedia
$120.00 (Input > 272,000 token) / $450.00 (Input > 272,000 token)
gpt-6-astra
ultrafast · short context
openai
Laluan API tidak tersedia
$60.00 (Input ≤ 272,000 token) / $300.00 (Input ≤ 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. · Penggunaan disahkan · OpenAI · official articles · A model guide for the GPT-6 family
  2. · Pautan bukti · OpenAI · official articles
    Petikan
    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. · Penggunaan disahkan · OpenAI · official articles · How Jump Trading is scaling quant research with ChatGPT
    Petikan
    Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
  4. · Pautan bukti · OpenAI · official articles
    Petikan
    Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
  5. · Pautan bukti · OpenAI · official articles
  6. · Pautan bukti · OpenAI · official articles
    Petikan
    Making longer videos possible with GPT‑6 Astra
  7. · Penggunaan disahkan · OpenAI · official articles · Asana cuts model costs 76x in browser tests with GPT-6.1 Sol
  8. · Pautan bukti · OpenAI · official articles
    Petikan
    We used some of our most capable and aligned models, including our upcoming GPT‑6 Astra Cyber model and an internal frontier model
  9. · Penggunaan disahkan · OpenAI · official articles · Greptile takes bug detection beyond code review with GPT-6 Astra
    Petikan
    How Greptile uses GPT‑6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework
  10. · Penggunaan disahkan · OpenAI · official articles · Retell uses OpenAI models to help power 100M monthly calls
  11. · Penggunaan disahkan · OpenAI · official articles · Qodo builds context into AI code review with Codex
  12. · Penggunaan disahkan · OpenAI · official articles · DevRev delivers autonomous self-service with GPT-6.1 Sol
    Petikan
    DevRev’s sales engineers also use GPT‑6 Astra to create demos for the company’s booths at international conferences
  13. · Penggunaan disahkan · OpenAI · official articles · Merge builds product and business tools with OpenAI technology
    Petikan
    For its own product development, Merge uses GPT‑6 Astra
  14. · Pautan bukti · OpenAI · official articles
  15. · Pautan bukti · OpenAI · official articles
  16. · Penggunaan disahkan · OpenAI · official articles · Introducing Astra for Law
  17. · Pautan bukti · OpenAI · official articles
    Petikan
    It will appear in the model picker as “GPT‑6 Astra Law” and in the API as gpt-6-astra-law
  18. · Pautan bukti · OpenAI · official articles
    Petikan
    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. · Entri katalog · GitHub · openai/openai-node · code
    Petikan
    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. · Penggunaan disahkan · OpenAI · official articles · Cogent and OpenAI build cyber defense factories for enterprises
  21. · Entri katalog · GitHub · openai/codex · code
    Petikan
    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

    Rujukan dalam kod ini tidak mengesahkan pengecam model yang digunakan.

  22. · Entri katalog · GitHub · openai/codex · code
    Petikan
    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. · Entri katalog · GitHub · openai/openai-agents-python · code
    Petikan
    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

    Rujukan dalam kod ini tidak mengesahkan pengecam model yang digunakan.

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

    Masa ramalan tidak terbukti; disimpan sebagai sebutan awal, bukan ramalan yang tepat.

Isyarat 1

Spesifikasi

GPT-6 Astra ialah model daripada OpenAI, dikeluarkan pada 2026-09-03. Tetingkap konteks ialah 1,050,000 token. Keluaran maksimum ialah 128,000 token. Harganya ialah $10.00 bagi sejuta token input dan $50.00 bagi sejuta token output.

Tetingkap konteks
1,050,000
Keluaran maksimum
128,000
Input
teks · imej
Output
teks
Input · USD / 1 juta token
$10.00
Output · USD / 1 juta token
$50.00
Input dalam cache · USD / 1 juta token
$1.00

Soalan

Apakah tetingkap konteks GPT-6 Astra?

Tetingkap konteks ialah 1,050,000 token. Keluaran maksimum ialah 128,000 token.

Berapakah harga GPT-6 Astra?

Harganya ialah $10.00 bagi sejuta token input dan $50.00 bagi sejuta token output. Input dalam cache berharga $1.00 bagi sejuta token.

Bilakah GPT-6 Astra dikeluarkan?

Pada 2026-09-03.