Grok 3
Grok 3 is the latest model from xAI. It's their flagship model that excels at enterprise use cases like data extraction, coding, and text summarization. Possesses deep domain knowledge in finance, healthcare, law, and science.
Context window
This model accepts 131K tokens in one request (~98K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- FitsLong documentAbout 37K words of text
- Won't fitSmall 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
- 131,072 tokens (131K)
- Max output tokens
- 131,072 tokens (131K)
- Speed tier
- balanced
- Provider
- Xai
- Model family
- Grok
- Release date
- Jun 2025
- Input cost
- $3.00/M / 1M tokens
- Output cost
- $15.00/M / 1M tokens
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Tool use
- Can call external tools and APIs
- Supported
- Function calling
- Structured function call interface
- Supported
- Streaming
- Returns tokens as they are generated
- Supported
- Prompt caching
- Reuse repeated prompt prefixes cheaply
- Supported
- Vision
- Accepts image inputs alongside text
- Not supported
- Extended thinking
- Shows its chain-of-thought reasoning
- Not 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 3
Open a side-by-side comparison with one click.
- Grok 3 vs Amazon Titan Text Express
Grok 3 has 212% larger context window
- Grok 3 vs Amazon Titan Text Lite
Grok 3 has 212% larger context window
- Grok 3 vs Amazon Titan Text Premier
Grok 3 has 212% larger context window
- Grok 3 vs Claude Instant
Grok 3 has 31% larger context window
- Grok 3 vs Anthropic Claude
Grok 3 has 31% larger context window
- Grok 3 vs Codellama 34b Instruct
Grok 3 has 3100% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
More from Xai
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