What is Grok Code Fast 1? Joined, What Is There?

Grok Code Fast 1xAI announced at 28.08.2025, it was a fast and low cost agentic coding model. In 15.05.2026, both from xAI API and retired from GitHub Copilot. xAI, instead of coding works grok-build-0. 1 Offers the model and automatically redirects the API requests from the old model name to this model.

Last update: 14.10.2026

Grok Code Fast 1Elon Musk AI company xAI developed by a agentic coding (agentic coding) was the model. The model was only limited to offering code recommendations and equipped with the ability to call the vehicle and interact with the code editor. The aim was to provide a “fast” and “economic” assistant to software developers. Thanks to its agentic structure, it was able to independently complete coding tasks using tools such as terminal, grep and file editing with reasoning and vehicle call cycles.

Grok Code Fast 1 Time Developed?

Grok Code Fast 1 was officially announced in 28.08.2025 by xAI. About a week before the announcement, the model was broadcast silently (stealth) in the name of the “sonic” code; xAI announced that in this period, the feedback on community channels and broadcast several new models (checkpoint). In addition to the official announcement, the model was opened in the XAI API.

xAI states that experienced developers use automatic tests that track human assessments and behaviour that they score on daily work while developing model SWE-Bench.

Grok Code Fast 1 Which Platforms Can Be Used?

xAI presented the model for free for a limited time on some common platforms. Lansman partners:

• GitHub Copilot

• Home

• Home

• Roo Code

• Weight Code

• Opencode

• Home

The phrase “lansman partner” here tells users the platforms that xAI’s model has been tested together in the educational process and provides users with the first platforms. GitHub Copilot model lifted in 15.05.2026. In other platforms, you should check out which models can be selected.

For example, GitHub Copilot was one of the models that can be selected in Copilot, offering recommendations on the code editor and perform tasks in the agent mode; Grok Code Fast 1 was one of the models that can be selected in Copilot. In agentic vehicles such as Cline, model, file editing and terminal were doing tasks by calling the tools themselves.

Platforms where model can be used are not only for individual developers, but also suitable for software teams and companies. “Agentic workflow” (agentic workflow) means that artificial intelligence manages multiple tools and steps independently. In this way, steps such as code production, editing and error correction can be executed in one task.

Why Is This Model Developed?

xAI has observed that existing models are slowed down in agentic coding workflows and negatively affect user experience. Grok Code Fast 1 was developed as a solution to this problem. For the model to be more agile and effective:

• A new model architecture was created.

• Programming-oriented pre-training data was created.

• Real-world (real world) fine adjustment (fine-tuning) with carefully selected data including pull requests and coding tasks.

The result according to xAI was a quick and cost-effective model for everyday coding jobs.

Who was developed by Model And Who Are The Partners?

Model was developed by Elon Musk led xAI company. Partner platforms played critical role in testing model, collecting feedback and optimizing performance.

For example, GitHub’s Product Director (Chief Product Officer) Mario Rodriguez said:

“ Grok Code Fast in testing while testing showed both speed and quality in agentic coding tasks. Equipment developers with powerful tools is a fundamental part of our mission in GitHub Copilot and this is a new option that is remarkable for our developers.” (translate from English)

xAI states that the model improves the behavior of their agency platforms by working with launch partners in the educational process.

Technical Properties and Use Samples of Model

The feature of “Agentic” refers not only the code proposal, but also the independent task completion capacity. In this way, the model provides advantages in automaticization of routine work in large projects.

According to xAI, the model was particularly strong in TypeScript, Python, Java, Rust, C++ and Go languages. Lansman price was $0.01 for 1 million input tokens on xAI API, 0,20 $, 1 million output tokens for $1,50 and 1 million input tokens read from cache. Here is the basic unit used to understand and produce the text of the artificial intelligence. This price is not valid anymore for model retirement; you should check the current prices from xAI's model page.

According to xAI, Grok Code Fast 1, SWE-Bench-Verified test scored 70%,8% with its own test assembly of the company. This is not an independent measurement; xAI also states that such comparisons do not reflect the actual usage experience. The company also announced that the invoid cache (prompt caching) improved, and the cache hit rate in use with launch partners is regularly over 90%.

Grok Code Fast 1 Real Use Samples

The developer Danny Portseta, according to the driver shared in the announcement of xAI, prepared a “Battle Simulator” prototype with Grok Code Fast 1 at Cursor. Portseta tells him that the model responds very quickly, rather than a large single name, giving small and focused tasks, first planning large features and then applying parts.

Likewise, Tags Tags and Hacker News user reviews from communities also suggest the speed and ease of use of the model. Some users note that Grok is faster than other models that they use in routine coding tasks, in some cases they are able to make small code errors. This indicates that the model still requires human control.

Prompt Engineering and Effective Use

Effective use of Grok Code Fast 1 prompt g (the way to express tasks correctly and clearly to intelligence) plays a critical role. Effective prompt strategies include:

1. Context provision: Providing information about file paths, project structure and predefined functions to ensure that the model works correctly.

2. Net task definition: Give open and measurable tasks instead of unspecified demands.

3. Quick pusher: Fix outputs with small steps using the feature of producing quick response of the model.

4. Agentic tasks: Optimize the model to manage multiple tools and steps independently.

These methods apply not only for Grok Code Fast 1, but also for grok-build-0.1 and other agentic coding models instead.

Grok Code Fast 1 and GitHub Copilot

Grok Code Fast 1 was one of the launch partners of GitHub Copilot and was among models that can be selected in Copilot. GitHub lifted the model from Copilot in 15.05.2026. In the current model list of Copilot, Grok 4.5 from xAI, Grok 4.6 and Grok 4.7 are included.

In short, Grok Code Fast 1 was featured as an agentic coding model with speed and low price; today, it left its place to the new coding model of xAI.

Condition in 2026: Grok Code Fast 1 Emekliye Left

xAI retired from Grok Code Fast 1 API at 15.05.2026 clock 12.00 (USA Pacific clock). Other old models such as grok-4-0709, grok-4-fast, grok-4-1-fast and grok-3 were also removed. Old model names continue to work: grok-code-fast-1 The requests from the name are automatically directed to grok-build-0.1 model. So the code does not break, but it works a different model and a different price on the back; xAI suggests clearly changing the model name to not live unexpected cost difference.

GitHub Copilot also retired Grok Code Fast 1 in 15.05.2026. If you’re using Copilot, you don’t see this model anymore.

The new model grok-build-0.1 recommended by xAI is a coding model designed for agencyic software development and workflow tasks with the description of the company. According to the model page, Grok Code Fast 1 has 256,000 token context window; accept text and visual input, support vehicle call, structured output and reason execution (reasoning). Price $1.00 for 1 million input tokens, 0,20 $ for 1 million tokens read from cache and price higher in requests exceeding $2.00 (200.000 tokens for 1 million output tokens).

The newest model of xAI for general purpose is Grok 4.7; the company introduces it as a flagship model for each business including coding. Grok Code Fast 1 is not a model used anymore, it should be seen as a step by step in the development of agentic coding models. If you want to compare different coding assistants artificial intelligence code writing sites Home guide and developers Why choose Codex and Claude Code Home You can browse our article.

Grok Code Fast 1 with grok-build-0.1 comparison

Frequently Asked Questions

Grok Code Fast 1 is still available?

No. xAI model retired in 15.05.2026. The API requests sent by the old model do not error but are directed to the grok-build-0.1 model; the model in GitHub Copilot is no longer.

What model should be used instead of Grok Code Fast 1?

xAI offers grok-build-0.1 for coding jobs. If you want a general-purpose model, you can look at xAI’s flagship Grok 4.7.

Is Grok Code Fast 1 free?

For a limited time in the launch, GitHub Copilot was free at Cursor, Cline, Roo Code, Weight Code, opencode and Windsurf. xAI API was paid: 1 million input tokens $0.020, 1 million output tokens $1,50.

How many points were Grok Code Fast 1 SWE-Bench?

xAI received 70%,8% at SWE-Bench-Verified with its own test assembly. The company’s own measurement is not an independent verification.

Grok Code Fast 1 was good in what programming languages?

According to xAI, it was particularly strong in TypeScript, Python, Java, Rust, C++ and Go.