Grok Build 0.1
Grok Build 0.1 is xAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...
Context window
This model accepts 256K tokens in one request (~192K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- FitsLong documentAbout 37K words of text
- FitsSmall codebaseAbout 150K words of text
- Won't fitFull novelAbout 375K words of text
Specifications
Context size, pricing, and release info in one place.
- Context window
- 256,000 tokens (256K)
- Speed tier
- balanced
- Provider
- Xai
- Model family
- Grok
- Release date
- May 2026
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Vision
- Accepts image inputs alongside text
- Supported
- Tool use
- Can call external tools and APIs
- Supported
- Function calling
- Structured function call interface
- Supported
- Extended thinking
- Shows its chain-of-thought reasoning
- Supported
- Streaming
- Returns tokens as they are generated
- Supported
- Prompt caching
- Reuse repeated prompt prefixes cheaply
- Supported
- Web search
- Can browse the web during a request
- Not supported
- Batch API
- Process many requests asynchronously
- Not supported
Best for
Jump to a guide or ranking that matches each workload.
Compare Grok Build 0.1
Open a side-by-side comparison with one click.
- Grok Build 0.1 vs Jp Anthropic Claude Sonnet 4 6
Jp Anthropic Claude Sonnet 4 6 has 290% larger context window
- Grok Build 0.1 vs Amazon Titan Text Express
Grok Build 0.1 has 509% larger context window
- Grok Build 0.1 vs Amazon Titan Text Premier
Grok Build 0.1 has 509% larger context window
- Grok Build 0.1 vs Amazon Titan Text Lite
Grok Build 0.1 has 509% larger context window
- Grok Build 0.1 vs Codellama 34b Instruct
Grok Build 0.1 has 6150% larger context window
- Grok Build 0.1 vs Codellama 70b Instruct
Grok Build 0.1 has 6150% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
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