xAI releases grok-build-0.1 for agent-driven coding
xAI has released grok-build-0.1 in public beta, a model for automated coding through agents. It is the same model that powers Grok Build CLI. Pricing is low: $1 per million input tokens and $2 per million output tokens. xAI pitches it as fast, smart and cheap.
AI-processed from @xAI; edited by Hamidun News
xAI has launched public beta access to the grok-build-0.1 model through its API. It is the same core that powers Grok Build CLI, a tool for automated coding through agents.
What is agential coding
Agential coding means the AI does not just write code line by line. It acts as an agent: it reads compiler errors, runs tests, fixes logic and searches documentation. grok-build-0.1 was trained specifically on these workflows.
Ordinary models such as Claude or GPT-4 write correct code on the first attempt in about 70% of cases. grok-build-0.1 was trained iteratively: the AI generates code, the compiler and tests check it, the model sees the error and fixes it. This produces more reliable results.
The model sees the project context, understands the architecture of the codebase and can work with unfamiliar libraries and frameworks. It is built into Grok Build CLI and is now available to all developers through the API.
Price: a record low for its category
- Input: $1 per million tokens
- Output: $2 per million tokens
- Fast processing (TPM up to 90K)
- Free trial period with $25 in credits
For comparison with competitors: Claude 3.5 Sonnet costs $3 for input and $15 for output. OpenAI's GPT-4o costs $2.50 for input and $10 for output. Gemini 2.0 Flash costs $0.075 for input and $0.30 for output (but it is a lighter model, not meant for coding).
On input price, grok-build-0.1 is the cheapest among models at the Claude Sonnet level. On output it is slightly above average, but because the model needs fewer repeat requests (code more often comes out right on the first iteration), the total cost of a task comes out lower.
Who it is useful for
- Solo developers and freelancers who want to speed up routine work (CRUD code, scripts, migrations)
- Startups with limited budgets for tools and DevTools
- Large teams working on refactoring and code migrations between framework versions
- DevOps and backend developers writing infrastructure code, Terraform and Ansible playbooks
- AI labs experimenting with code agents that want a cheap baseline
What it means
xAI has again confirmed that it is ready to compete not on PR and hype but on fundamentals: a fast model, an honest price and, most importantly, one that works on real development tasks. This puts pressure on OpenAI and Google.
If a second wave of companies starts using grok-build-0.1 for production code, OpenAI's monopoly on developers will break. Competition for developers is something the industry has long been waiting for.
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Key Questions Answered
What is agential coding?
Agential coding means the AI does not just write code line by line. It acts as an agent: it reads compiler errors, runs tests, fixes logic and searches documentation. grok-build-0.1 was trained specifically on these workflows. Ordinary models such as Claude or GPT-4 write correct code on the first attempt in about 70% of cases. grok-build-0.1 was trained iteratively: the AI generates code, the compiler and tests check it, the model sees the error and fixes it. This produces more reliable results. The model sees the project context, understands the architecture of the codeba
What are the key details on Price: a record low for its category?
Input: $1 per million tokens Output: $2 per million tokens Fast processing (TPM up to 90K) Free trial period with $25 in credits For comparison with competitors: Claude 3.5 Sonnet costs $3 for input and $15 for output. OpenAI's GPT-4o costs $2.50 for input and $10 for output. Gemini 2.0 Flash costs $0.075 for input and $0.30 for output (but it is a lighter model, not meant for coding). On input price, grok-build-0.1 is the cheapest among models at the Claude Sonnet level. On output it is slightly above average, but because the model needs fewer repeat requests (code more of
Who it is useful for?
Solo developers and freelancers who want to speed up routine work (CRUD code, scripts, migrations) Startups with limited budgets for tools and DevTools Large teams working on refactoring and code migrations between framework versions DevOps and backend developers writing infrastructure code, Terraform and Ansible playbooks AI labs experimenting with code agents that want a cheap baseline
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