
GPT-6 Astra
OpenAI
- Context window
- 1M 1,050,000 token
- Pinakamahabang output
- 128K 128,000 token
- Input / Output
- teksto, larawan → teksto
Mga presyo ng API
USD / 1 milyong token
| Input | Output | Naka-cache na input |
|---|---|---|
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Takdang panahon
- · Magagamit sa API · link sa ebidensiya · link sa ebidensiya
- · Magagamit sa API · link sa ebidensiya
Presyo ng input / output · USD / 1 milyong token
| Modelo | Mga link sa ebidensiya | Presyo ng input / output |
|---|---|---|
gpt-6-astrabatch · long context | openai Hindi available ang ruta ng API | $10.00 (Input > 272,000 token) / $37.50 (Input > 272,000 token) |
gpt-6-astrabatch · short context | openai Hindi available ang ruta ng API | $5.00 (Input ≤ 272,000 token) / $25.00 (Input ≤ 272,000 token) |
gpt-6-astrafast · long context | openai Hindi available ang ruta ng API | $40.00 (Input > 272,000 token) / $150.00 (Input > 272,000 token) |
gpt-6-astrafast · short context | openai Hindi available ang ruta ng API | $20.00 (Input ≤ 272,000 token) / $100.00 (Input ≤ 272,000 token) |
gpt-6-astraflex · long context | openai Hindi available ang ruta ng API | $10.00 (Input > 272,000 token) / $37.50 (Input > 272,000 token) |
gpt-6-astraflex · short context | openai Hindi available ang ruta ng API | $5.00 (Input ≤ 272,000 token) / $25.00 (Input ≤ 272,000 token) |
gpt-6-astrastandard · long context | openai Hindi available ang ruta ng API | $20.00 (Input > 272,000 token) / $75.00 (Input > 272,000 token) |
gpt-6-astrastandard · short context | openai Hindi available ang ruta ng API | $10.00 (Input ≤ 272,000 token) / $50.00 (Input ≤ 272,000 token) |
gpt-6-astraultrafast · long context | openai Hindi available ang ruta ng API | $120.00 (Input > 272,000 token) / $450.00 (Input > 272,000 token) |
gpt-6-astraultrafast · short context | openai Hindi available ang ruta ng API | $60.00 (Input ≤ 272,000 token) / $300.00 (Input ≤ 272,000 token) |
openai/gpt-6-astra-prostandard | openrouter | $10.00 / $50.00 |
openai/gpt-6-astra-pro:batchbatch | openrouter | $5.00 / $25.00 |
- · Kumpirmadong paggamit · OpenAI · official articles · Harvey turns legal context into stronger drafts with GPT-6 Astra
- · Kumpirmadong paggamit · OpenAI · official articles · A model guide for the GPT-6 family
- · Mga link sa ebidensiya · OpenAI · official articles
Sipi
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
- · Kumpirmadong paggamit · OpenAI · official articles · How Jump Trading is scaling quant research with ChatGPT
Sipi
Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
- · Mga link sa ebidensiya · OpenAI · official articles
Sipi
Jump Trading uses GPT‑6 Astra to take on longer, more ambiguous research problems
- · Mga link sa ebidensiya · OpenAI · official articles
- · Mga link sa ebidensiya · OpenAI · official articles
Sipi
Making longer videos possible with GPT‑6 Astra
- · Kumpirmadong paggamit · OpenAI · official articles · Asana cuts model costs 76x in browser tests with GPT-6.1 Sol
- · Mga link sa ebidensiya · OpenAI · official articles
Sipi
We used some of our most capable and aligned models, including our upcoming GPT‑6 Astra Cyber model and an internal frontier model
- · Kumpirmadong paggamit · OpenAI · official articles · Greptile takes bug detection beyond code review with GPT-6 Astra
Sipi
How Greptile uses GPT‑6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework
- · Kumpirmadong paggamit · OpenAI · official articles · Retell uses OpenAI models to help power 100M monthly calls
- · Kumpirmadong paggamit · OpenAI · official articles · Qodo builds context into AI code review with Codex
- · Kumpirmadong paggamit · OpenAI · official articles · DevRev delivers autonomous self-service with GPT-6.1 Sol
Sipi
DevRev’s sales engineers also use GPT‑6 Astra to create demos for the company’s booths at international conferences
- · Kumpirmadong paggamit · OpenAI · official articles · Merge builds product and business tools with OpenAI technology
Sipi
For its own product development, Merge uses GPT‑6 Astra
- · Mga link sa ebidensiya · OpenAI · official articles
- · Mga link sa ebidensiya · OpenAI · official articles
- · Kumpirmadong paggamit · OpenAI · official articles · Introducing Astra for Law
- · Mga link sa ebidensiya · OpenAI · official articles
Sipi
It will appear in the model picker as “GPT‑6 Astra Law” and in the API as gpt-6-astra-law
- · Mga link sa ebidensiya · OpenAI · official articles
Sipi
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
- · Pagkakalista sa katalogo · GitHub · openai/openai-node · code
Sipi
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
- · Kumpirmadong paggamit · OpenAI · official articles · Cogent and OpenAI build cyber defense factories for enterprises
- · Pagkakalista sa katalogo · GitHub · openai/codex · code
Sipi
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
Hindi pinatutunayan ng pagbanggit na ito sa code ang isang ginagamit na identifier ng modelo.
- · Pagkakalista sa katalogo · GitHub · openai/codex · code
Sipi
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
- · Pagkakalista sa katalogo · GitHub · openai/openai-agents-python · code
Sipi
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
Hindi pinatutunayan ng pagbanggit na ito sa code ang isang ginagamit na identifier ng modelo.
- · Pagkakalista sa katalogo · GitHub · openai/openai-python · code
Sipi
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-
- · Pagkakalista sa katalogo · GitHub · openai/openai-agents-js · code
Sipi
(): 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
- · Pagkakalista sa katalogo · Vertex AI · quotas
- · Mga post ni Alex · Alex Getman
Sipi
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.
- · Mga post ni Alex · pamilya ng mga modelo · Alex Getman
Sipi
Looks like Astra 6.1 is coming OpenAI rolled out a private test model gpt-6-astra-api-priv-ev3
- · Mga link sa ebidensiya · OpenAI · news
Sipi
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
- · Mga post ni Alex · Alex Getman
Sipi
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.
- · Mga post ni Alex · Alex Getman
Sipi
🚨 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
- · Mga post ni Alex · Alex Getman
Sipi
🚨 Gemini 4 Argon scores 53 and ties for 3rd place with Fable 5.1 and GPT 6 Astra on the AA Intelligence Index
- · Mga post ni Alex · Alex Getman
Sipi
🚨 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.
- · Mga post ni Alex · Alex Getman
Sipi
🚨 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
- · Mga post ni Alex · Alex Getman
Sipi
🚨 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.
- · Mga post ni Alex · Alex Getman
Sipi
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%.
- · Mga post ni Alex · Alex Getman
Sipi
🚨 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.
- · Mga post ni Alex · Alex Getman
Sipi
🚨 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.
- · Mga post ni Alex · Alex Getman
Sipi
🚨 GPT-6 Astra is officially #1 on the updated Artificial Analysis Intelligence Index, sharing the top spot with Claude Fable 5.1.
- · Mga post ni Alex · Alex Getman
Sipi
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
- · Mga post ni Alex · Alex Getman
Sipi
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.
- · Mga post ni Alex · Alex Getman
Sipi
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.
- · Mga post ni Alex · Alex Getman
Sipi
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.
- · Mga post ni Alex · Alex Getman
Sipi
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
- · Mga post ni Alex · Alex Getman
Sipi
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.
- · Mga post ni Alex · Alex Getman
Sipi
🚨 Plus users got access to GPT-6 Astra
- · Mga post ni Alex · Alex Getman
Sipi
🚨 GPT-6 Astra is out for Pro users
- · Mga post ni Alex · Alex Getman
Sipi
GPT-6 Astra looked like a generational leap on OpenAI’s benchmarks. Artificial Analysis puts it closer to old Fable 5 territory.
- · Mga post ni Alex · Alex Getman
Sipi
🚨 GPT-6 Astra is officially out https://openai.com/index/gpt-6-astra/
- · Mga post ni Alex · Alex Getman
Sipi
🚨 GPT-6 Astra is absolutely crushing everyone on the benchmarks
- · Mga post ni Alex · Alex Getman
Sipi
🚨 GPT-6 Astra has been added to the OpenAI API Launch in less than 24 hours
- · Mga post ni Alex · Alex Getman
Sipi
🚨 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.
Hindi natupad ang hinulaang oras; pinanatili bilang maagang pagbanggit, hindi tamang hula.
Mga senyal 1
Mga espesipikasyon
Ang GPT-6 Astra ay isang modelo mula sa OpenAI, na inilabas noong 2026-09-03. Ang context window ay 1,050,000 token. Ang pinakamahabang output ay 128,000 token. Ang presyo ay $10.00 sa bawat isang milyong input token at $50.00 sa bawat isang milyong output token.
- Context window
- 1,050,000
- Pinakamahabang output
- 128,000
- Input
- teksto · larawan
- Output
- teksto
- Input · USD / 1 milyong token
- $10.00
- Output · USD / 1 milyong token
- $50.00
- Naka-cache na input · USD / 1 milyong token
- $1.00
Mga tanong
Gaano kalaki ang context window ng GPT-6 Astra?
Ang context window ay 1,050,000 token. Ang pinakamahabang output ay 128,000 token.
Magkano ang GPT-6 Astra?
Ang presyo ay $10.00 sa bawat isang milyong input token at $50.00 sa bawat isang milyong output token. Ang naka-cache na input ay $1.00 sa bawat isang milyong token.
Kailan inilabas ang GPT-6 Astra?
Noong 2026-09-03.