
GPT-6 Astra
OpenAI
- Bağlam penceresi
- 1M 1.050.000 token
- Maksimum çıktı
- 128K 128.000 token
- Girdi / Çıktı
- metin, görüntü → metin
API fiyatları
USD / 1 milyon token
| Girdi | Çıktı | Önbellekten girdi |
|---|---|---|
|
|
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Zaman çizelgesi
- · API kullanılabilirliği · kanıt bağlantısı · kanıt bağlantısı
- · API kullanılabilirliği · kanıt bağlantısı
Girdi / çıktı fiyatı · USD / 1 milyon token
| Model | Kanıt bağlantıları | Girdi / çıktı fiyatı |
|---|---|---|
gpt-6-astrabatch · long context | openai API yolu kullanılamıyor | $10,00 (Girdi > 272.000 token) / $37,50 (Girdi > 272.000 token) |
gpt-6-astrabatch · short context | openai API yolu kullanılamıyor | $5,00 (Girdi ≤ 272.000 token) / $25,00 (Girdi ≤ 272.000 token) |
gpt-6-astrafast · long context | openai API yolu kullanılamıyor | $40,00 (Girdi > 272.000 token) / $150,00 (Girdi > 272.000 token) |
gpt-6-astrafast · short context | openai API yolu kullanılamıyor | $20,00 (Girdi ≤ 272.000 token) / $100,00 (Girdi ≤ 272.000 token) |
gpt-6-astraflex · long context | openai API yolu kullanılamıyor | $10,00 (Girdi > 272.000 token) / $37,50 (Girdi > 272.000 token) |
gpt-6-astraflex · short context | openai API yolu kullanılamıyor | $5,00 (Girdi ≤ 272.000 token) / $25,00 (Girdi ≤ 272.000 token) |
gpt-6-astrastandard · long context | openai API yolu kullanılamıyor | $20,00 (Girdi > 272.000 token) / $75,00 (Girdi > 272.000 token) |
gpt-6-astrastandard · short context | openai API yolu kullanılamıyor | $10,00 (Girdi ≤ 272.000 token) / $50,00 (Girdi ≤ 272.000 token) |
gpt-6-astraultrafast · long context | openai API yolu kullanılamıyor | $120,00 (Girdi > 272.000 token) / $450,00 (Girdi > 272.000 token) |
gpt-6-astraultrafast · short context | openai API yolu kullanılamıyor | $60,00 (Girdi ≤ 272.000 token) / $300,00 (Girdi ≤ 272.000 token) |
openai/gpt-6-astra-prostandard | openrouter | $10,00 / $50,00 |
openai/gpt-6-astra-pro:batchbatch | openrouter | $5,00 / $25,00 |
- · Doğrulanmış kullanım · OpenAI · official articles · A model guide for the GPT-6 family
- · Kanıt bağlantıları · OpenAI · official articles
Alıntı
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
- · Doğrulanmış kullanım · OpenAI · official articles · How Jump Trading is scaling quant research with ChatGPT
Alıntı
Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
- · Kanıt bağlantıları · OpenAI · official articles
Alıntı
Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
- · Kanıt bağlantıları · OpenAI · official articles
- · Kanıt bağlantıları · OpenAI · official articles
Alıntı
Making longer videos possible with GPT‑6 Astra
- · Doğrulanmış kullanım · OpenAI · official articles · Asana cuts model costs 76x in browser tests with GPT-6.1 Sol
- · Kanıt bağlantıları · OpenAI · official articles
Alıntı
We used some of our most capable and aligned models, including our upcoming GPT‑6 Astra Cyber model and an internal frontier model
- · Doğrulanmış kullanım · OpenAI · official articles · Greptile takes bug detection beyond code review with GPT-6 Astra
Alıntı
How Greptile uses GPT‑6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework
- · Doğrulanmış kullanım · OpenAI · official articles · Retell uses OpenAI models to help power 100M monthly calls
- · Doğrulanmış kullanım · OpenAI · official articles · Qodo builds context into AI code review with Codex
- · Doğrulanmış kullanım · OpenAI · official articles · DevRev delivers autonomous self-service with GPT-6.1 Sol
Alıntı
DevRev’s sales engineers also use GPT‑6 Astra to create demos for the company’s booths at international conferences
- · Doğrulanmış kullanım · OpenAI · official articles · Merge builds product and business tools with OpenAI technology
Alıntı
For its own product development, Merge uses GPT‑6 Astra
- · Kanıt bağlantıları · OpenAI · official articles
- · Kanıt bağlantıları · OpenAI · official articles
- · Doğrulanmış kullanım · OpenAI · official articles · Introducing Astra for Law
- · Kanıt bağlantıları · OpenAI · official articles
Alıntı
It will appear in the model picker as “GPT‑6 Astra Law” and in the API as gpt-6-astra-law
- · Kanıt bağlantıları · OpenAI · official articles
Alıntı
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
- · Katalog kaydı · GitHub · openai/openai-node · code
Alıntı
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
- · Doğrulanmış kullanım · OpenAI · official articles · Cogent and OpenAI build cyber defense factories for enterprises
- · Katalog kaydı · GitHub · openai/codex · code
Alıntı
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
Bu kod başvurusu, kullanılan bir model tanımlayıcısını doğrulamaz.
- · Katalog kaydı · GitHub · openai/codex · code
Alıntı
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
- · Katalog kaydı · GitHub · openai/openai-agents-python · code
Alıntı
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
Bu kod başvurusu, kullanılan bir model tanımlayıcısını doğrulamaz.
- · Katalog kaydı · GitHub · openai/openai-python · code
Alıntı
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-
- · Katalog kaydı · GitHub · openai/openai-agents-js · code
Alıntı
(): 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
- · Katalog kaydı · Vertex AI · quotas
- · Alex'in gönderileri · Alex Getman
Alıntı
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.
- · Alex'in gönderileri · model ailesi · Alex Getman
Alıntı
Looks like Astra 6.1 is coming OpenAI rolled out a private test model gpt-6-astra-api-priv-ev3
- · Kanıt bağlantıları · OpenAI · news
Alıntı
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
- · Alex'in gönderileri · Alex Getman
Alıntı
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.
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 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
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 Gemini 4 Argon scores 53 and ties for 3rd place with Fable 5.1 and GPT 6 Astra on the AA Intelligence Index
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 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.
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 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
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 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.
- · Alex'in gönderileri · Alex Getman
Alıntı
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%.
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 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.
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 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.
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 GPT-6 Astra is officially #1 on the updated Artificial Analysis Intelligence Index, sharing the top spot with Claude Fable 5.1.
- · Alex'in gönderileri · Alex Getman
Alıntı
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
- · Alex'in gönderileri · Alex Getman
Alıntı
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.
- · Alex'in gönderileri · Alex Getman
Alıntı
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.
- · Alex'in gönderileri · Alex Getman
Alıntı
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.
- · Alex'in gönderileri · Alex Getman
Alıntı
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
- · Alex'in gönderileri · Alex Getman
Alıntı
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.
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 Plus users got access to GPT-6 Astra
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 GPT-6 Astra is out for Pro users
- · Alex'in gönderileri · Alex Getman
Alıntı
GPT-6 Astra looked like a generational leap on OpenAI’s benchmarks. Artificial Analysis puts it closer to old Fable 5 territory.
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 GPT-6 Astra is officially out https://openai.com/index/gpt-6-astra/
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 GPT-6 Astra is absolutely crushing everyone on the benchmarks
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 GPT-6 Astra has been added to the OpenAI API Launch in less than 24 hours
- · Alex'in gönderileri · Alex Getman
Alıntı
🚨 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.
Tahmin edilen zaman tutmadı; başarılı tahmin olarak değil, erken bahis olarak korunuyor.
Sinyaller 1
Özellikler
GPT-6 Astra, OpenAI tarafından geliştirilen bir yapay zekâ modelidir. Yayın tarihi: 2026-09-03. Bağlam penceresi 1.050.000 token uzunluğundadır. Model en fazla 128.000 token üretebilir. Bir milyon token başına giriş ücreti $10,00, çıkış ücreti $50,00 tutarındadır.
- Bağlam penceresi
- 1.050.000
- Maksimum çıktı
- 128.000
- Girdi
- metin · görüntü
- Çıktı
- metin
- Girdi · USD / 1 milyon token
- $10,00
- Çıktı · USD / 1 milyon token
- $50,00
- Önbellekten girdi · USD / 1 milyon token
- $1,00
Sorular
GPT-6 Astra modelinin bağlam penceresi ne kadar?
Bağlam penceresi 1.050.000 token uzunluğundadır. Model en fazla 128.000 token üretebilir.
GPT-6 Astra modelinin fiyatı nedir?
Bir milyon token başına giriş ücreti $10,00, çıkış ücreti $50,00 tutarındadır. Önbellekten girdi fiyatı milyon token başına $1,00.
GPT-6 Astra ne zaman piyasaya sürüldü?
2026-09-03.