OpenAI
OpenAI is renowned for its powerful and versatile GPT (Generative Pre-trained Transformer) models, setting the industry standard for complex reasoning, instruction following, and natural language generation.| Model Name | Best for |
|---|---|
| GPT 5.1 Instant | Fast, enhanced GPT-5 model for everyday tasks and quick interactions. |
| GPT 5.1 Thinking | Flagship OpenAI GPT-5 model optimized for deep reasoning and adaptive task performance. |
| GPT 5.1 Codex | Advanced GPT-5.1 coding model optimized for high-accuracy software generation, debugging, and complex code reasoning. |
| GPT 5.1 Codex Mini | Lightweight, fast GPT-5.1 coding model designed for quick code tasks with low latency. |
| GPT 5 | Predecessor of GPT 5.1, suited for coding and complex reasoning. |
| GPT 5 Pro | Premium GPT-5 model offering enhanced reasoning, depth, and task reliability for professional-grade tasks. |
| GPT 5 Chat | Chat-optimized version of GPT 5 model used within ChatGPT. Used for general-purpose tasks like brainstorming, problem-solving etc. |
| GPT 5 mini | Balanced model for everyday tasks. This is cheaper than GPT-5 but retains strong reasoning, like drafting blog posts, summarizing, creating simple code snippets, etc. |
| GPT 5 nano | Lightweight, cheap GPT 5 model for simple and high-volume tasks like data cleaning, bulk text generation. |
| GPT 4.1 | This non-reasoning model is suited for general tasks that don’t require much analysis, like drafting professional emails and social media posts. |
| GPT 4.1 mini | This is a lighter version of 4.1 that gives quick responses. Suited for chatbots and customer support replies. |
| GPT 4.1 nano | This is an even lighter and quicker version of 4.1 with a lesser knowledge base. It’s suited for simple tasks like data cleaning, correcting punctuation and grammar, and simple Q&A, like definitions. |
| GPT 4o | Flexible multimodal model for real-time text, vision, and audio tasks. |
| GPT 4o mini | Fast multimodal model for simple image Q&A, basic chat. |
| o4 mini | Affordable reasoning model for coding and visual tasks. Predecessor of GPT 5 mini. |
| o4 mini Deep Research | Affordable deep research model for multi-step research, ability access data from the internet as well as your own data through MCP connectors. |
| o3 | Predecessor to GPT 5 for complex reasoning tasks in math, science, coding, and visual. |
| o3 Deep Research | Analyze hundreds of sources into a rich report with citations, creating long-form content from extensive online research. |
| o3 mini | Cost-efficient model for STEM and coding-based tasks. |
Google Gemini
Google’s Gemini family of models is built from the ground up to be multimodal, excelling at processing and reasoning across text, images, code, and video.| Model Name | Best for |
|---|---|
| Gemini 3 Pro | Flagship model of Gemini with configurable thinking levels to balance complex reasoning and speed. |
| Gemini 3 Pro Image | Google Nano Banana Pro generates 4K images with superior speed and contextual understanding. |
| Gemini 2.5 Pro | High performance with enhanced thinking, multimodal understanding, processing large datasets, mathematical problem solving, and complex coding. |
| Gemini 2.5 Flash | Balanced model for everyday usage, high-volume tasks with thinking capabilities. Good for virtual assistants, real-time summarization, and customer-facing agents. |
| Gemini 2.5 Flash Image | Nano Banana is Google code name for Gemini 2.5 Flash Image, a specialized model for natural language photo generation. |
| Gemini 2.5 Flash Lite | Cost efficient, lightweight model for quick response. Good for summarizing, and processing large datasets. |
| Gemini 2.0 Flash | Older model, suited for daily simple tasks not requiring advanced thinking, like basic chat and light content generation. |
Anthropic
Anthropic Claude models offers top-tier performance with a strong reasoning and coding.| Model Name | Best for |
|---|---|
| Claude Opus 4.5 | Premium coding model to give maximum intelligence with improved performance. |
| Claude Opus 4.1 | Superior performance, complex reasoning, advanced coding, and agentic tasks. |
| Claude Opus 4 | Sustained performance on long-running tasks, coding, and agent workflows. |
| Claude Sonnet 4.5 | Latest model with highest intelligence, exceptional agent and coding capabilities |
| Claude Sonnet 4 | Hybrid reasoning model for high-volume uses like customer-facing chat agents, and visual data extraction |
| Claude Haiku 4.5 | High performance & fast at one-third the cost and twice as fast as Sonnet 4. |
| Claude 3.5 Haiku | Fast performance, code completion, customer service chatbots, data extraction, real-time content moderation |
Mistral AI
Mistral AI is an efficient language model that offer competitive performance with a focus on developer-friendliness and customization.| Model | Best for |
|---|---|
| Mistral Medium | High performance at lower cost for enterprise knowledge base and workflows |
| Mistral Codestral | AI-powered software development for enterprises |
Perplexity
Perplexity models are designed as “answer engines,” excelling at providing accurate, real-time, and cited information by integrating web search capabilities directly into the language model.| Model | Best for |
|---|---|
| Sonar | Lightweight model for quick responses, general queries. |
| Sonar Pro | Advanced search, complex queries, follow-ups. |
| Sonar Reasoning | Fast reasoning model for problem-solving, powered by search. |
| Sonar Reasoning Pro | Advanced reasoning powered by DeepSeek-R1 and Chain of Thought (CoT). |
| Sonar Deep Research | Conducting exhaustive web search, processing multiple information sources and generating detailed reports with citations. |
xAI Grok
Grok is developed by xAI with the goal of creating AI that can understand the universe. It is known for its real-time knowledge of the world via the 𝕏 (formerly Twitter) platform and its unique, rebellious personality.| Model | Best for |
|---|---|
| Grok 4.1 Fast Reasoning | Lower cost reasoning model. Ability to give better emotional and creative responses without compromising on speed. |
| Grok 4.1 Fast non-reasoning | Low cost model for every day tasks like summarizing, high-volume tasks and chatbots. |
| Grok 4 | Flagship model of xAI—high performance in math, reasoning, and natural language. Good for technical research, coding, document/image/voice processing |
| Grok 4 Fast | Cost-efficient quick response model with limited reasoning abilities. Suited for high-volume chatbots, summarizing. Succeeded by Grok 4.1 Fast non-reasoning. |
| Grok 4 Fast Reasoning | Cost-efficient reasoning model. Suitable for mathematical deductions, multistep logical inferences. Succeeded by Grok 4.1 Fast reasoning |
| Grok 3 | Non-reasoning model suitable for data extraction, text summarization and coding. Possesses extensive domain knowledge in healthcare, finance, law etc. |
| Grok 3 Mini | Lightweight reasoning model for tasks where deep domain knowledge is not required. Best for document summarization, mathematical reasoning and logic based tasks |
DeepSeek
DeepSeek AI focuses on developing strong models, particularly in the domains of code and mathematics. Their models are an good choice for technical and programming-related tasks.| Model | Best for |
|---|---|
| DeepSeek Chat | General-Purpose, non-thinking model for conversations, everyday tasks, coding, summarization, and creative writing. |
| DeepSeek Reasoner | Reasoning model for complex, step-by-step logical reasoning for math problems, scientific reasoning, and code debugging |