Complex Reasoning

Anthropic's most capable model, excelling at complex analysis, nuanced content creation, and advanced coding tasks. Features superior reasoning and the ability to work autonomously on extended tasks.

OpenAI's reasoning model designed to solve hard problems across science, coding, and math using chain-of-thought reasoning.

Fast, cost-efficient reasoning model excelling at STEM tasks. Offers adjustable reasoning effort levels.

Mistral's flagship model with top-tier reasoning, coding, and multilingual capabilities. Strong at complex tasks.

Experimental reasoning model that shows its thought process. Optimized for complex multi-step problems and explanations.

Meta's largest open-source model with 405 billion parameters. Competitive with leading closed models on benchmarks.

Highly efficient 671B MoE model trained on 14.8T tokens. Achieves top benchmark scores at fraction of typical training cost.

Reasoning-focused model achieving strong performance on math and coding benchmarks through reinforcement learning.

Alibaba's flagship open-source model with strong coding and math capabilities. Supports 29 languages.

OpenAI's latest flagship model with improved coding, instruction following, and long-context understanding. Excels at complex multi-step tasks with a 1M token context window.

OpenAI's most powerful reasoning model. Uses extended thinking time to solve complex problems in math, science, and coding. Achieves expert-level performance on technical benchmarks.

A cost-effective reasoning model that balances strong logical capabilities with faster response times. Great for everyday reasoning tasks.

A smaller, faster reasoning model optimized for coding and STEM tasks. Offers strong logical capabilities at a lower cost than o1.

The enhanced version of o1 with more compute for complex reasoning. Best for the most challenging problems requiring deep analysis.

OpenAI's most advanced language model to date. Features unprecedented reasoning, creativity, and multimodal understanding. Represents a major leap in AI capabilities across all domains.

The latest iteration of GPT-5 with improved instruction following, reduced hallucinations, and enhanced safety. Offers the best balance of capability and reliability for production use.

GPT-5.2 is OpenAI's flagship model series for 2025, achieving unprecedented performance in reasoning, coding, and mathematics. Available in three variants—Instant (optimized for speed), Thinking (step-by-step reasoning), and Pro (maximum capability)—it sets new industry benchmarks including a perfect 100% on AIME 2025 and 55.6% on SWE-Bench Pro. The model excels at professional knowledge work including complex spreadsheets, presentations, and business documents. It demonstrates 30% fewer hallucinations than GPT-5.1 and introduces improved agentic capabilities for executing multi-step tasks with high reliability. Key improvements include enhanced tool calling, superior front-end code generation, and better long-context reasoning.

Nvidia announced Alpamayo-R1, an open reasoning vision language model designed for autonomous driving research. This model is positioned as the first vision language action model focused specifically on autonomous driving, enabling vehicles to process both text and images to perceive their surroundings and make informed decisions. Alpamayo-R1 is based on Nvidia's Cosmos-Reason model, which emphasizes reasoning in decision-making, and is critical for achieving level 4 autonomous driving, which entails full autonomy in defined areas under specific conditions.

DeepSeek-V3.2 is the official successor to V3.2-Exp, designed as a reasoning-first model built for agents. It is positioned as a daily driver with performance at the GPT-5 level, balancing inference and length. The V3.2-Speciale variant pushes the boundaries of reasoning capabilities, rivaling Gemini-3.0-Pro, and is currently available only via API. The model excels in complex tasks, achieving gold-level results in prestigious competitions such as IMO, CMO, ICPC World Finals, and IOI 2025.