> ## Documentation Index > Fetch the complete documentation index at: https://pulze.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # AI Models > Access to state-of-the-art AI models from leading providers # AI Models Pulze provides instant access to state-of-the-art AI models from all major providers. No need to set up individual accounts—we manage all AI integrations for you. ## Available Providers
OpenAI
GPT-5 family, o3 series, and more
Anthropic
Claude 4 and Claude 4.1 models
xAI
Grok 4 Fast - world's best model
Google
Gemini 2.5 Flash and Pro
AI21Labs
Jamba 1.7 architecture
Groq
Ultra-fast inference
Cohere
Enterprise language models
Fireworks
Open-weight models *** ## OpenAI Leading AI research company providing state-of-the-art models for various applications. ### GPT-5 Family **Flagship model** with massive 400K context window **Capabilities:** * Advanced reasoning and problem-solving * Complex code generation and debugging * Long-form content creation * Multi-step task execution * Agentic workflows **Specifications:** * **Context Window**: 400,000 tokens * **Multimodal**: Text only * **Best For**: Complex reasoning, long documents, agentic tasks * **Performance**: Highest intelligence across all tasks **Cost-efficient** model with strong reasoning **Capabilities:** * High-quality reasoning at lower cost * Code generation and analysis * Content creation * Data analysis **Specifications:** * **Context Window**: 128,000 tokens * **Multimodal**: Text only * **Best For**: Cost-sensitive applications with strong reasoning needs * **Performance**: Fast, affordable, maintains strong reasoning **Fastest** and most affordable option **Capabilities:** * Quick responses * Basic reasoning * Simple code tasks * General conversation **Specifications:** * **Context Window**: 32,000 tokens * **Multimodal**: Text only * **Best For**: High-throughput applications, real-time responses * **Performance**: Ultra-fast, budget-friendly, good for production scale **Optimized** for agentic coding environments **Capabilities:** * Advanced code generation * Multi-file code editing * Debugging and optimization * Test generation * Code review and analysis **Specifications:** * **Context Window**: 200,000 tokens * **Multimodal**: Text and code * **Best For**: Code generation, debugging, development workflows * **Performance**: Enhanced code understanding, multi-language support **ChatGPT-optimized** variant **Capabilities:** * Natural conversation * Context retention * Personality consistency * Multi-turn dialogue **Specifications:** * **Context Window**: 128,000 tokens * **Multimodal**: Text only * **Best For**: Conversational applications, chatbots * **Performance**: Tuned for dialogue, natural conversations ### Research Models **Research model** for complex multi-step research tasks * **Best For**: Deep analysis, multi-step reasoning, comprehensive research * **Key Features**: Extended thinking time, thorough analysis, citation-rich outputs *** ## Anthropic AI safety company known for helpful, harmless, and honest AI systems. **Very capable** model with highest intelligence * **Best For**: Most demanding tasks requiring maximum capability * **Key Features**: Superior reasoning, excellent at complex analysis **Best** for complex agents and coding tasks * **Best For**: Agentic workflows, software development, automation * **Key Features**: Excellent tool use, reliable coding, strong reasoning **Long-context** model with 1M token window * **Context**: 1,000,000 tokens (upgraded from 200K) * **Best For**: Extremely long documents, entire codebases * **Key Features**: 5x increase in context length, maintains quality at scale *** ## xAI Advanced AI models with massive context windows and state-of-the-art performance. **World's best model** - currently leading all benchmarks * **Context**: 2,000,000 tokens * **Best For**: Most demanding AI tasks * **Key Features**: * Leading all benchmarks as best model in the world * Massive 2M context window * Advanced reasoning capabilities * Complex problem solving **Optimized** for agentic coding tasks * **Best For**: Advanced development workflows, code generation * **Key Features**: State-of-the-art coding, rapid development *** ## Google Advanced multimodal models with strong reasoning capabilities. **Best price/performance** with thinking capabilities * **Best For**: Production applications, cost-sensitive deployments * **Key Features**: * Built-in reasoning ("thinking") * Fast inference * Excellent value * Multimodal (text, images, video) **Advanced reasoning** with 1M+ context window * **Context**: 1,000,000+ tokens * **Best For**: Complex reasoning, long documents, research * **Key Features**: Superior reasoning, extended context, multimodal *** ## AI21Labs Novel Mamba-Transformer hybrid architecture for enterprise applications. **Enterprise-scale** performance with 256K context * **Context**: 256,000 tokens * **Architecture**: Mamba-Transformer hybrid * **Best For**: Enterprise applications, long documents * **Key Features**: Unique architecture, efficient processing **Efficient** with 256K context window * **Context**: 256,000 tokens * **Best For**: Cost-effective enterprise applications * **Key Features**: Smaller footprint, maintains capabilities *** ## Groq Ultra-fast inference with integrated tool orchestration. **Integrated tool orchestration** * **Best For**: Multi-tool workflows, complex automation * **Key Features**: * Built-in web search * Code execution * Browser automation * Coordinated tool use **Open-weight** models (20B & 120B) * **Variants**: 20B and 120B parameters * **Best For**: Transparency, customization, research * **Key Features**: Open-source ecosystem, full access **Meta's latest** multimodal models * **Llama 4 Maverick**: Flagship multimodal model * **Llama 4 Scout**: Balanced performance and efficiency * **Best For**: Multimodal applications, versatile tasks *** ## Cohere Enterprise-focused language models for production applications. **Enterprise language model** * **Context**: 256,000 tokens * **Parameters**: 111 billion * **Best For**: Enterprise applications, command and control * **Key Features**: Production-ready, enterprise support *** ## Fireworks Fast inference platform for open-weight models. **Multiple parameter sizes** * **Best For**: Open-source deployments, customization * **Key Features**: Fast inference, open weights, flexible **Latest reasoning models** * **Best For**: Advanced reasoning tasks * **Key Features**: Strong reasoning, open architecture *** ## Model Selection Guide ### By Use Case **Reasoning & Analysis** * xAI Grok 4 Fast (best overall) * OpenAI GPT-5 * Anthropic Claude Opus 4.1 * Google Gemini 2.5 Pro **Coding & Development** * Anthropic Claude Sonnet 4.5 * OpenAI GPT-5 Codex * xAI Grok Code Fast **Cost-Performance** * Google Gemini 2.5 Flash * OpenAI GPT-5 Nano * OpenAI GPT-5 Mini **Long Context** * Anthropic Claude Sonnet 4.0 (1M) * Google Gemini 2.5 Pro (1M+) * xAI Grok 4 Fast (2M) * AI21Labs Jamba (256K) **Enterprise Production** * Cohere Command A * AI21Labs Jamba Large * Google Gemini 2.5 Flash ### Custom Routing Don't want to choose manually? Use [custom routers](/features/custom-routers) to automatically select the best model based on your requirements. *** ## Model Lifecycle Models are regularly updated with new versions and capabilities. Some older models may be deprecated over time. View deprecated models and migration guidance See latest model updates and releases *** ## Getting Started Identify what you need the model for (reasoning, coding, production, etc.) Pick from our recommendations or use custom routing Run evaluations against your datasets Use in your spaces or via API Track performance and adjust as needed ## Next Steps Automatically select the right model Test models against your standards Integrate models into your applications Stay updated on model lifecycle