# 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](/content/docs/models/overview#openai/index.html)

GPT-5 family, o3 series, and more

### [Anthropic](/content/docs/models/overview#anthropic/index.html)

Claude 4 and Claude 4.1 models

### [xAI](/content/docs/models/overview#xai/index.html)

Grok 4 Fast - world’s best model

### [Google](/content/docs/models/overview#google/index.html)

Gemini 2.5 Flash and Pro

### [AI21Labs](/content/docs/models/overview#ai21labs/index.html)

Jamba 1.7 architecture

### [Groq](/content/docs/models/overview#groq/index.html)

Ultra-fast inference

### [Cohere](/content/docs/models/overview#cohere/index.html)

Enterprise language models

### [Fireworks](/content/docs/models/overview#fireworks/index.html)

Open-weight models

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## 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

### GPT-5 Mini

**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

### GPT-5 Nano

**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

### GPT-5 Codex

**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

### GPT-5 Chat

**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

o3-deep-research

**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

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## Anthropic
AI safety company known for helpful, harmless, and honest AI systems.

### Claude Opus 4.1
**Very capable** model with highest intelligence  
- **Best For**: Most demanding tasks requiring maximum capability  
- **Key Features**: Superior reasoning, excellent at complex analysis

### Claude Sonnet 4.5
**Best** for complex agents and coding tasks  
- **Best For**: Agentic workflows, software development, automation  
- **Key Features**: Excellent tool use, reliable coding, strong reasoning

### Claude Sonnet 4.0
**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

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## xAI
Advanced AI models with massive context windows and state-of-the-art performance.

### Grok 4 Fast
**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

### Grok Code Fast
**Optimized** for agentic coding tasks  
- **Best For**: Advanced development workflows, code generation  
- **Key Features**: State-of-the-art coding, rapid development

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## Google
Advanced multimodal models with strong reasoning capabilities.

### Gemini 2.5 Flash
**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)

### Gemini 2.5 Pro
**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

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## AI21Labs
Novel Mamba-Transformer hybrid architecture for enterprise applications.

### Jamba Large 1.7
**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

### Jamba Mini 1.7
**Efficient** with 256K context window  
- **Context**: 256,000 tokens  
- **Best For**: Cost-effective enterprise applications  
- **Key Features**: Smaller footprint, maintains capabilities

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## Groq
Ultra-fast inference with integrated tool orchestration.

### Compound Systems
**Integrated tool orchestration**  
- **Best For**: Multi-tool workflows, complex automation  
- **Key Features**:  
  - Built-in web search  
  - Code execution  
  - Browser automation  
  - Coordinated tool use

### OpenAI GPT-OSS Models
**Open-weight** models (20B & 120B)  
- **Variants**: 20B and 120B parameters  
- **Best For**: Transparency, customization, research  
- **Key Features**: Open-source ecosystem, full access

### Llama 4 Models
**Meta’s latest** multimodal models  
- **Llama 4 Maverick**: Flagship multimodal model  
- **Llama 4 Scout**: Balanced performance and efficiency  
- **Best For**: Multimodal applications, versatile tasks

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## Cohere
Enterprise-focused language models for production applications.

### Command A 03-2025
**Enterprise language model**  
- **Context**: 256,000 tokens  
- **Parameters**: 111 billion  
- **Best For**: Enterprise applications, command and control  
- **Key Features**: Production-ready, enterprise support

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## Fireworks
Fast inference platform for open-weight models.

### GPT-OSS Series
**Multiple parameter sizes**  
- **Best For**: Open-source deployments, customization  
- **Key Features**: Fast inference, open weights, flexible

### DeepSeek V3.1
**Latest reasoning models**  
- **Best For**: Advanced reasoning tasks  
- **Key Features**: Strong reasoning, open architecture

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## 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](/content/docs/features/custom-routers/index.html) to automatically select the best model based on your requirements.

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## Model Lifecycle
Models are regularly updated with new versions and capabilities. Some older models may be deprecated over time.
