Model
.ai
tracking open ai models
GPT 6 Astra Pro
OpenAI | 1,050,000 token context | $10.00/M input, $50.00/M output. GPT-6 Astra Pro is the same underlying model as GPT-6 AstraOpens in new tab, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Astra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 AstraOpens in new tab instead. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-modeOpens in new tab
Guides for this model
All guides
GPT-6 Astra Pro is OpenAI's GPT-6 Astra served with reasoning mode set to pro, meaning it spends significantly more compute per request in exchange for higher accuracy on difficult problems. The context window is over one million tokens. It is aimed squarely at hard, high-stakes tasks where being right matters more than being fast or cheap.

Known for

  • Pro reasoning mode pushes accuracy higher than standard GPT-6 Astra on complex tasks.
  • Over one million tokens of context for very long documents or conversations.
  • Vision capability alongside text reasoning.
  • Same underlying model as GPT-6 Astra, so the quality ceiling is the same engine.

Watch out for

  • Output costs $50 per million tokens; pro mode burns far more reasoning tokens, so real bills multiply fast.
  • Requests take noticeably longer than GPT-6 Astra — not a model for latency-sensitive or high-volume work.
  • Closed weights, API only; you cannot run this locally or inspect it.

Prompts to try

Audit a legal argument
Here is a contract clause and the counterparty's interpretation of it. Identify every logical gap or unsupported assumption in their reading, explain which specific wording they are relying on, and suggest the two strongest counter-arguments available to us. Clause: [paste clause]. Their interpretation: [paste interpretation].
Diagnose a failing system design
I am designing a distributed job queue that must guarantee exactly-once delivery under network partitions. Here is my current architecture: [describe it]. Walk through every failure mode you can identify, rank them by likelihood and blast radius, and propose the minimal set of changes that would make the design safe.
Reason through a hard tradeoff
My team must choose between rewriting our authentication service in Rust or keeping it in Python and adding a formal verification layer. We have three engineers, a six-month runway, and a compliance audit in eight months. Lay out the full decision tree, surface the assumptions that most change the answer, and give a final recommendation with your confidence level.

Compare with

  • gpt oss 120b Turbo
    Open-weights model
    131,072 token context · $0.15/M input, $0.60/M output
  • GPT-6 Luna
    API-only model
    1,050,000 token context · $0.10/M input, $0.50/M output
  • GPT-5.6 Sol
    API-only model
    1,050,000 token context · $4.00/M input, $20.00/M output
  • GPT-6.1 Sol
    API-only model
    1,050,000 token context · $2.00/M input, $10.00/M output
More text models from openai

Questions people ask

Can I run GPT-6 Astra Pro locally?
No. The weights are not public and the model is available through OpenAI's API only.
What does GPT-6 Astra Pro cost and what is the context window?
Pricing is $10.00 per million input tokens and $50.00 per million output tokens, with a context window of 1,050,000 tokens. Because pro reasoning mode generates many more internal reasoning tokens per request, a typical call costs several times more than the same call on GPT-6 Astra.
What is the difference between GPT-6 Astra Pro and GPT-6 Astra?
They are the same underlying model; the Pro variant simply runs with reasoning mode set to pro, which trades speed and cost for higher accuracy on complex tasks. OpenAI recommends GPT-6 Astra for everyday coding, agentic, and chat workloads.
Captain's verdict
Reserve this for the problems where a wrong answer is genuinely expensive; for everything else, GPT-6 Astra will do the job at a fraction of the cost.
Captain writes these notes from the model's own description and model card. Prices and context sizes are the provider's at the time of writing and can change.
Ranking badge
Updated Oct 22, 2026
GPT 6 Astra Pro on ModelTrends.ai: Heat 5,275°
Made this model? Show this badge on your page.
Paste it into your Hugging Face card or Civitai description.
How this score adds up
This model has no popularity data from any source yet, so it carries a stand-in number below 7,000° that keeps the lists complete. It never ranks above a model with data. The breakdown appears here as soon as a source reports it.
Glossary: the terms used here
Heat score
One number for how much a model is used and wanted right now, from 0° to 9,999°. Every list on this site that says hottest is sorted by it and nothing else.
Floor
The 7,000° every model with real data starts from. The scale runs from 0° to 9,999°; the part below the floor is reserved for stand-ins (models without data), so that a model with data always ranks above one without. The floor is the same for everyone and decides nothing; the degrees above it are the measurement.
Download-equivalents
Everything the score treats as a download, added up: downloads themselves, each torrent seeder as 1,000, each AI Horde image and each run on a generation site as one.
Log scale
Counting by tens, not by ones: going from 1,000 to 10,000 downloads adds the same degrees as going from 10,000 to 100,000. It keeps giants from crowding out everything else.
Likes
Thumbs up and likes from every source, worth half a download each on the log scale.
Adoption rate
How many downloads a day a model gets right now, from the difference between two readings of a source. A quarter of the weight of the download term.
Measured and estimated
Measured means two readings of a source exist and the difference is real. Estimated means only today's total is known and the past is spread over the model's life; the site says which one it is showing.
Seeder
Someone who keeps a copy of the weights online for others to download over a torrent, or a hosted mirror doing the same. Each one counts as 1,000 downloads.
AI Horde
A volunteer network that generates images for free on donated computers. The number of images it has made with a model is public, and each counts as one download.
Generation sites
Sites that host their own copies of a model and let people generate with it, such as PixAI, SeaArt and Yodayo. Their downloads count like Civitai's and each generation run as one download.
OpenRouter tokens
A text model served through an API, such as Claude or GPT, has no weights to download, so its usage is measured in tokens: the pieces of text it read and wrote through OpenRouter, a gateway many apps use, over the last 30 days. Every 10,000,000 tokens count as one download. Source: OpenRouter (openrouter.ai/rankings), CC BY 4.0.
Full model (checkpoint)
The weights themselves, the file that generates on its own. It gets a bonus because add-ons depend on it.
LoRA and embedding
Small add-on files that steer someone else's weights toward a style, a character or a concept. They cannot run alone.
Family and weights
The base a model is built on, such as SD 1.5, SDXL, Flux or Wan. Every model inherits the release date of its family's weights.
Age
Degrees taken off for how long ago the family's weights came out: 150° a year, up to 750°. It keeps old downloads that had years to pile up from freezing the top of the list.
Family boost
A small, bounded nudge for LoRAs of a family this site is pushing forward right now, always listed in the breakdown.
Stand-in score
A stable number below the floor given to a model no source reports on yet, so lists stay complete. It never ranks above a model with data.
New! (grace period)
A model less than 7 days old shows New! instead of a score and holds no place in the rankings. Its score is computed from day one, but a model one day old grows faster than anything, so without the wait the week's #1 would always be whatever came out yesterday rather than what held up for a week.
Trend
How a model's growth over a period compares with the typical model's growth over the same period. Faster than typical reads as a rise, slower as a fall.
Typical model
The middle of the catalog: half the models with a figure grew faster over the period, half slower.