Grok Latest
4039°
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xAI | 500,000 token context | $2.00/M input, $6.00/M output. This model always redirects to the latest Grok model from xAI.
Guides for this model
Grok 4.7 vs GPT-6.1 Sol: same input price, different bills
How to choose an AI model in October 2026: the closed source news, then the open weights worth downloading
Open weights vs open source vs API-only: what you are actually allowed to do
The 10 cheapest ChatGPT alternatives in 2026: free local models, free tiers and flat-rate plans
Captain's notes
Notes from 2026-10-13
Grok Latest is xAI's rolling alias that always points to their current flagship text and vision model. With a 500,000-token context window and vision support, it sits in the mid-tier of frontier API pricing. It suits developers who want to track xAI's best without updating a model string every release cycle.
Known for
- Always resolves to xAI's current best model, no version-pinning needed.
- 500,000-token context window handles very long documents and codebases.
- Vision capability alongside text, in a single endpoint.
- Reasoning tagged by xAI as a core strength.
Watch out for
- Closed weights, API-only: no local deployment, no offline use.
- The rolling alias means behaviour can change under you without notice.
- Output costs $6.00 per million tokens; verbose tasks add up fast.
Prompts to try
Reason through a tricky plan
I need to migrate a monolithic Rails app to microservices without downtime. The app has a shared PostgreSQL database, background jobs via Sidekiq, and three teams working on it simultaneously. Walk me through a phased approach, flag the biggest risks at each phase, and tell me what I should validate before cutting over.
Analyse a long document
I'm pasting a lengthy contract below. Identify every clause that limits liability or indemnifies one party, summarise what each one actually means in plain English, and flag any that are unusually one-sided. Then give me a short list of questions I should raise with the other party before signing.
Describe and critique an image
I'm attaching a screenshot of a data dashboard. Tell me what the data shows, identify any trends or anomalies worth flagging, and point out any design choices that make the information harder to read than it should be.
Compare with
- Grok 4.7API-only model500,000 token context · $2.00/M input, $6.00/M output
- Grok 4.6API-only model500,000 token context · $2.00/M input, $6.00/M output
- Grok 4.5API-only model500,000 token context · $2.00/M input, $6.00/M output
- Grok Build 0.1API-only model256,000 token context · $1.00/M input, $2.00/M output
More text models from x-ai
Questions people ask
- Can I run Grok Latest locally?
- No. Grok Latest is API-only and closed weights; xAI has not released the underlying model files for local use.
- What does Grok Latest cost and how long is its context?
- Pricing is $2.00 per million input tokens and $6.00 per million output tokens, with a 500,000-token context window.
- What is the difference between Grok Latest and a pinned Grok version?
- Grok Latest is a rolling alias that always redirects to xAI's current flagship model, so you get updates automatically but lose the stability of a fixed model version.
Captain's verdictA convenient alias for xAI's best, but that convenience cuts both ways: behaviour can shift without warning.
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
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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.
Grok Latest is a text model for the Text / LLM family listed on ModelTrends.ai, a read-only catalog of open source AI image, video and text models. Compare it with other Text / LLM models and check its heat score to see how it is trending.
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