
GPT-6 Astra
OpenAI
- Fereastră de context
- 1M 1.050.000 de tokeni
- Lungimea maximă a răspunsului
- 128K 128.000 de tokeni
- Intrare / Ieșire
- text, imagine → text
Prețuri API
USD / 1 mil. de tokeni
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|---|---|---|
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Cronologie
- · Disponibilitate prin API · link către dovezi · link către dovezi
- · Disponibilitate prin API · link către dovezi
Preț intrare / ieșire · USD / 1 mil. de tokeni
| Model | Linkuri către dovezi | Preț intrare / ieșire |
|---|---|---|
gpt-6-astrabatch · long context | openai Ruta API nu este disponibilă | $10,00 (Intrare > 272.000 de tokeni) / $37,50 (Intrare > 272.000 de tokeni) |
gpt-6-astrabatch · short context | openai Ruta API nu este disponibilă | $5,00 (Intrare ≤ 272.000 de tokeni) / $25,00 (Intrare ≤ 272.000 de tokeni) |
gpt-6-astrafast · long context | openai Ruta API nu este disponibilă | $40,00 (Intrare > 272.000 de tokeni) / $150,00 (Intrare > 272.000 de tokeni) |
gpt-6-astrafast · short context | openai Ruta API nu este disponibilă | $20,00 (Intrare ≤ 272.000 de tokeni) / $100,00 (Intrare ≤ 272.000 de tokeni) |
gpt-6-astraflex · long context | openai Ruta API nu este disponibilă | $10,00 (Intrare > 272.000 de tokeni) / $37,50 (Intrare > 272.000 de tokeni) |
gpt-6-astraflex · short context | openai Ruta API nu este disponibilă | $5,00 (Intrare ≤ 272.000 de tokeni) / $25,00 (Intrare ≤ 272.000 de tokeni) |
gpt-6-astrastandard · long context | openai Ruta API nu este disponibilă | $20,00 (Intrare > 272.000 de tokeni) / $75,00 (Intrare > 272.000 de tokeni) |
gpt-6-astrastandard · short context | openai Ruta API nu este disponibilă | $10,00 (Intrare ≤ 272.000 de tokeni) / $50,00 (Intrare ≤ 272.000 de tokeni) |
gpt-6-astraultrafast · long context | openai Ruta API nu este disponibilă | $120,00 (Intrare > 272.000 de tokeni) / $450,00 (Intrare > 272.000 de tokeni) |
gpt-6-astraultrafast · short context | openai Ruta API nu este disponibilă | $60,00 (Intrare ≤ 272.000 de tokeni) / $300,00 (Intrare ≤ 272.000 de tokeni) |
openai/gpt-6-astra-prostandard | openrouter | $10,00 / $50,00 |
openai/gpt-6-astra-pro:batchbatch | openrouter | $5,00 / $25,00 |
- · Utilizare confirmată · OpenAI · official articles · A model guide for the GPT-6 family
- · Linkuri către dovezi · OpenAI · official articles
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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
- · Utilizare confirmată · OpenAI · official articles · How Jump Trading is scaling quant research with ChatGPT
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Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
- · Linkuri către dovezi · OpenAI · official articles
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Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
- · Linkuri către dovezi · OpenAI · official articles
- · Linkuri către dovezi · OpenAI · official articles
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Making longer videos possible with GPT‑6 Astra
- · Utilizare confirmată · OpenAI · official articles · Asana cuts model costs 76x in browser tests with GPT-6.1 Sol
- · Linkuri către dovezi · OpenAI · official articles
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We used some of our most capable and aligned models, including our upcoming GPT‑6 Astra Cyber model and an internal frontier model
- · Utilizare confirmată · OpenAI · official articles · Greptile takes bug detection beyond code review with GPT-6 Astra
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How Greptile uses GPT‑6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework
- · Utilizare confirmată · OpenAI · official articles · Retell uses OpenAI models to help power 100M monthly calls
- · Utilizare confirmată · OpenAI · official articles · Qodo builds context into AI code review with Codex
- · Utilizare confirmată · OpenAI · official articles · DevRev delivers autonomous self-service with GPT-6.1 Sol
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DevRev’s sales engineers also use GPT‑6 Astra to create demos for the company’s booths at international conferences
- · Utilizare confirmată · OpenAI · official articles · Merge builds product and business tools with OpenAI technology
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For its own product development, Merge uses GPT‑6 Astra
- · Linkuri către dovezi · OpenAI · official articles
- · Linkuri către dovezi · OpenAI · official articles
- · Utilizare confirmată · OpenAI · official articles · Introducing Astra for Law
- · Linkuri către dovezi · OpenAI · official articles
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It will appear in the model picker as “GPT‑6 Astra Law” and in the API as gpt-6-astra-law
- · Linkuri către dovezi · OpenAI · official articles
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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
- · Înregistrare în catalog · GitHub · openai/openai-node · code
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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
- · Utilizare confirmată · OpenAI · official articles · Cogent and OpenAI build cyber defense factories for enterprises
- · Înregistrare în catalog · GitHub · openai/codex · code
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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
Această referință din cod nu confirmă un identificator de model utilizat.
- · Înregistrare în catalog · GitHub · openai/codex · code
Fragment
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
- · Înregistrare în catalog · GitHub · openai/openai-agents-python · code
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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
Această referință din cod nu confirmă un identificator de model utilizat.
- · Înregistrare în catalog · GitHub · openai/openai-python · code
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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-
- · Înregistrare în catalog · GitHub · openai/openai-agents-js · code
Fragment
(): 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
- · Înregistrare în catalog · Vertex AI · quotas
- · Postările lui Alex · Alex Getman
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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.
- · Postările lui Alex · familie de modele · Alex Getman
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Looks like Astra 6.1 is coming OpenAI rolled out a private test model gpt-6-astra-api-priv-ev3
- · Linkuri către dovezi · OpenAI · news
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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
- · Postările lui Alex · Alex Getman
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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.
- · Postările lui Alex · Alex Getman
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🚨 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
- · Postările lui Alex · Alex Getman
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🚨 Gemini 4 Argon scores 53 and ties for 3rd place with Fable 5.1 and GPT 6 Astra on the AA Intelligence Index
- · Postările lui Alex · Alex Getman
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🚨 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.
- · Postările lui Alex · Alex Getman
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🚨 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
- · Postările lui Alex · Alex Getman
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🚨 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.
- · Postările lui Alex · Alex Getman
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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%.
- · Postările lui Alex · Alex Getman
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🚨 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.
- · Postările lui Alex · Alex Getman
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🚨 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.
- · Postările lui Alex · Alex Getman
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🚨 GPT-6 Astra is officially #1 on the updated Artificial Analysis Intelligence Index, sharing the top spot with Claude Fable 5.1.
- · Postările lui Alex · Alex Getman
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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
- · Postările lui Alex · Alex Getman
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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.
- · Postările lui Alex · Alex Getman
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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.
- · Postările lui Alex · Alex Getman
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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.
- · Postările lui Alex · Alex Getman
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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
- · Postările lui Alex · Alex Getman
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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.
- · Postările lui Alex · Alex Getman
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🚨 Plus users got access to GPT-6 Astra
- · Postările lui Alex · Alex Getman
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🚨 GPT-6 Astra is out for Pro users
- · Postările lui Alex · Alex Getman
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GPT-6 Astra looked like a generational leap on OpenAI’s benchmarks. Artificial Analysis puts it closer to old Fable 5 territory.
- · Postările lui Alex · Alex Getman
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🚨 GPT-6 Astra is officially out https://openai.com/index/gpt-6-astra/
- · Postările lui Alex · Alex Getman
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🚨 GPT-6 Astra is absolutely crushing everyone on the benchmarks
- · Postările lui Alex · Alex Getman
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🚨 GPT-6 Astra has been added to the OpenAI API Launch in less than 24 hours
- · Postările lui Alex · Alex Getman
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🚨 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.
Termenul prognozat nu s-a confirmat; păstrat ca mențiune timpurie, nu ca predicție reușită.
Semnale 1
Specificații
GPT-6 Astra este un model de la OpenAI, lansat la data de 2026-09-03. Fereastra de context este de 1.050.000 de tokeni. Lungimea maximă a răspunsului este de 128.000 de tokeni. Prețul este de $10,00 pentru un milion de tokeni de intrare și de $50,00 pentru un milion de tokeni de ieșire.
- Fereastră de context
- 1.050.000
- Lungimea maximă a răspunsului
- 128.000
- Intrare
- text · imagine
- Ieșire
- text
- Intrare · USD / 1 mil. de tokeni
- $10,00
- Ieșire · USD / 1 mil. de tokeni
- $50,00
- Intrare din cache · USD / 1 mil. de tokeni
- $1,00
Întrebări
Care este fereastra de context a modelului GPT-6 Astra?
Fereastra de context este de 1.050.000 de tokeni. Lungimea maximă a răspunsului este de 128.000 de tokeni.
Cât costă GPT-6 Astra?
Prețul este de $10,00 pentru un milion de tokeni de intrare și de $50,00 pentru un milion de tokeni de ieșire. Intrarea din cache costă $1,00 pentru un milion de tokeni.
Când a fost lansat GPT-6 Astra?
La data de 2026-09-03.