> ## Documentation Index > Fetch the complete documentation index at: https://docs.nexalai.com/llms.txt > Use this file to discover all available pages before exploring further. # Models > Explore all available AI models on Nexal AI platform

Provider	Model	Context	Capabilities
OpenAI	GPT-5.2	400k	👁️ 🔧
OpenAI	GPT-5.1	400k	👁️ 🔧
Anthropic	Claude Sonnet 4.5	1M	👁️ 🔧
Anthropic	Claude Haiku 4.5	200k	👁️ 🔧
xAI	Grok 4.1 Fast	2M	👁️ 🔧
xAI	Grok 4 Fast	2M	👁️ 🔧
Google	Gemini 3 Pro	1M	👁️ 🔧
Google	Gemini 3 Flash	1M	👁️ 🔧
Meta	Llama 4 Scout 17B	328k	🔧
Amazon	Nova 2 Lite	1M	👁️ 🔧
Moonshot AI	Kimi K2.5	262k	🔧
Qwen	Qwen3-2507	256k	🔧

*And more...* ## Vision Vision capabilities allow AI models to understand and analyze images. Models with vision support (indicated by 👁️ in the capabilities column) can: * Analyze and describe images * Extract text from images (OCR) * Answer questions about visual content * Understand charts, graphs, and diagrams * Process screenshots and documents Vision-enabled models are ideal for tasks like document analysis, image-based Q\&A, and visual content understanding. ## Tools Tools (also known as function calling) enable AI models to interact with external systems and perform actions beyond text generation. Models with tool support (indicated by 🔧 in the capabilities column) can: * Call external APIs and services * Execute code and calculations * Access real-time data * Perform structured data operations * Integrate with third-party applications Tool-enabled models are essential for building AI agents, automation workflows, and applications that require dynamic interactions with external systems. ## Web Search Web search capabilities allow AI models to access real-time information from the internet, providing up-to-date answers and current data beyond their training knowledge. **Key features:** * **Real-time information**: Access the latest news, events, and data * **Current facts**: Get information that may have changed since the model's training * **Comprehensive results**: Search across multiple sources for accurate answers * **Citation support**: Models can provide sources for their information Web search is particularly useful for: * Current events and news * Real-time data (stock prices, weather, etc.) * Recent developments in technology, science, and other fields * Verifying information that may have changed The model will automatically search the web when it needs current information to answer your questions accurately. ## Context Window The context window represents the maximum number of tokens (words or word pieces) a model can process in a single conversation. This includes both your input and the model's output. **Why it matters:** * **Larger context windows** (1M, 2M, 10M) allow you to work with longer documents, maintain longer conversations, and process more information at once * **Smaller context windows** (128k, 200k) are more cost-effective and faster for shorter tasks Choose a model with an appropriate context window based on your use case: * **Short tasks**: 128k-200k is sufficient * **Document analysis**: 400k-1M recommended * **Long conversations or large documents**: 1M+ preferred ## Model Parameters Model parameters refer to the size and complexity of the neural network. While not always directly visible, parameter count affects: * **Model capability**: Larger models generally have better reasoning and knowledge * **Response quality**: More parameters often mean more nuanced and accurate responses * **Speed**: Smaller models respond faster * **Cost**: Larger models typically cost more per token **Common parameter sizes:** * **Small** (8B-17B): Fast, cost-effective, good for simple tasks * **Medium** (20B-70B): Balanced performance and speed * **Large** (70B+): Best quality, slower, higher cost The parameter count is often reflected in the model name (e.g., "Llama 4 Scout 17B" has 17 billion parameters).