Explore Models For Conversational AI Development

GPT-5.4 pro is a version of GPT-5.4 that uses more compute to think harder and provide consistently smarter and more precise responses for complex professional tasks.

GPT-5.4 is OpenAI's frontier model for complex professional work, offering the highest capability in the GPT-5 series with a 1M+ context window and advanced reasoning.

GPT-5.2 is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence.

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5.

GPT-5 is the next generation language model with enhanced reasoning capabilities and improved performance across all domains including coding, mathematics, science, and creative tasks.

GPT-5 Mini is the cost-efficient version of GPT-5, offering excellent performance for most tasks while being faster and more affordable than GPT-5.

GPT-5 Nano is the most lightweight and fastest model in the GPT-5 family, optimized for simple tasks requiring quick responses with minimal computational overhead.

o4-mini is the latest small o-series model. It's optimized for fast, effective reasoning with exceptionally efficient performance in coding and visual tasks.

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following.

GPT-4.1 nano is the fastest, most cost-effective GPT 4.1 model.

GPT 4.1 mini provides a balance between intelligence, speed, and cost that makes it an attractive model for many use cases.

GPT 4.1 is OpenAI's flagship model for complex tasks. It is well suited for problem solving across domains.

GPT-4.5 excels at tasks that benefit from creative, open-ended thinking and conversation, such as writing, learning, or exploring new ideas.

o3-mini is a cost-efficient reasoning model that's optimized for coding, math, and science, and supports tools and Structured Outputs.

o1 is a powerful reasoning model that supports tools, Structured Outputs, and vision. The model has 200K context and an October 2023 knowledge cutoff.

GPT-4o mini is OpenAI's most cost-efficient small model that's smarter and cheaper than GPT-3.5 Turbo, and has vision capabilities. The model has 128K context and an October 2023 knowledge cutoff.

GPT-4o is faster and cheaper than GPT-4 Turbo with stronger vision capabilities. The model has 128K context and an October 2023 knowledge cutoff.

GPT-4 Turbo is offered at 128K context with an April 2023 knowledge cutoff and basic support for vision.

The GPT-4 model was built with broad general knowledge and domain expertise.

GPT-3.5 Turbo is fast and inexpensive model for simpler tasks.

GPT-3.5 Turbo is fast and inexpensive model for simpler tasks.

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.

GPT-5.3-Codex is a specialized coding model from OpenAI, optimized for software engineering workflows and long-running autonomous code tasks.

GPT-5.2-Codex is a specialized version of GPT-5.2 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks.

GPT-5.1-Codex-Max is OpenAI's latest agentic coding model, designed for long-running, high-context software development tasks.

GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex.

GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks.

GPT-5-Codex is a specialized version of GPT-5 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks.

Claude Opus 4.6 is Anthropic's strongest model for coding and long-running professional tasks, optimized for multi-step agent workflows, large codebases, and sustained reasoning over complex engineering work.

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and reasoning benchmarks, and improved robustness to prompt injection.

Claude 4.5 Sonnet: advanced Sonnet tuned for agents, long coding and sustained reasoning.

Claude Haiku 4.5 is Anthropic's fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4's performance across reasoning, coding, and computer-use tasks, Haiku 4.5 brings frontier-level capability to real-time and high-volume applications.

Claude Opus 4.1 is Anthropic's most powerful model, with enhanced capabilities for complex reasoning, coding, and creative tasks.

Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows.

Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability.

Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities.

Anthropic's most intelligent and advanced model, Claude 3.5 Sonnet, demonstrates exceptional capabilities across a diverse range of tasks and evaluations while also outperforming Claude 3 Opus.

Anthropic's fastest, most compact model for near-instant responsiveness. It answers simple queries and requests with speed.

Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases, improving on Gemini 2.5 Flash Lite across audio input, retrieval, translation, extraction, and code while supporting configurable reasoning levels.

Gemini 3.1 Pro Preview is Google’s next-generation frontier model for high-precision multimodal reasoning across text, image, video, audio, and code with a long-context window.

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance.

Gemini 3 Pro is Google’s flagship frontier model for high-precision multimodal reasoning, combining strong performance across text, image, video, audio, and code with a 1M-token context window.

A capable and inexpensive, multi-modal model with great performance across all tasks, with a 1 million token context window, and built for the era of Agents.

A small and cost-efficient multi-modal model, built for at-scale usage with a 1 million token context window.

A capable multi-modal model with great performance across all tasks, with a 1 million token context window, and built for the era of Agents.

Cost-efficient reasoning for low-latency workloads.

Top-tier reasoning for high-complexity tasks. The most powerful model of the Mistral AI family.

Cost-efficient reasoning for low-latency workloads.

Deep Research conducts comprehensive, expert-level research and synthesizes it into accessible, actionable reports.

Premier reasoning offering powered by DeepSeek R1 with Chain of Thought (CoT) and advanced search grounding.

Premier reasoning offering powered by DeepSeek R1 with Chain of Thought (CoT).

Premier search offering with search grounding, supporting advanced queries and follow-ups.

Lightweight offering with search grounding, quicker and cheaper than Sonar Pro.

GLM-5 is Z.AI's fifth-generation flagship open-source foundation model with 744B parameters (40B active MoE), engineered for complex systems design and long-horizon agent workflows. It delivers production-grade performance on large-scale programming tasks with advanced agentic planning, deep backend reasoning, and iterative self-correction.

GLM-4.5-Air is the lightweight variant of Z.AI's latest flagship model family, purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter size. GLM-4.5-Air supports hybrid inference modes, offering a "thinking mode" for advanced reasoning and tool use, and a "non-thinking mode" for real-time interaction.

GLM-4.5-Air is the lightweight variant of Z.AI's latest flagship model family, purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter size. GLM-4.5-Air supports hybrid inference modes, offering a "thinking mode" for advanced reasoning and tool use, and a "non-thinking mode" for real-time interaction.

GLM-4.7-Flash is Z.AI's fast, cost-efficient model optimized for coding, agentic workflows, and real-world use on lower hardware budgets. It offers strong performance in coding and multistep reasoning tasks while being more affordable than the flagship GLM-4.7.

GLM-4.7 is Z.AI's latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while delivering more natural conversational experiences and superior front-end aesthetics.

Kimi K2.5 is MoonshotAI's flagship multimodal model with 1 trillion parameters (32B activated), 256K context, and strong performance on coding, reasoning, and agentic workflows.

MiniMax M2.5 is MiniMax's productivity-focused flagship model optimized for coding, office automation, and multi-step agent workflows with strong benchmark performance and high token efficiency.

Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token. It is a reasoning model that is incredibly speed efficient even at long contexts.

Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token. It is a reasoning model that is incredibly speed efficient even at long contexts.

Trinity Large Preview is a frontier-scale open-weight model from Arcee AI, built as a 400B-parameter sparse Mixture-of-Experts with 13B active parameters per token using 4-of-256 expert routing. It excels in creative writing, storytelling, role-play, chat, and real-time voice assistance, while also handling complex agentic toolchains and long constraint-filled prompts.

Any custom model created by the user.

Fast and efficient question and answer model with web search grounding.

This model belongs to the GPT-4o mini family of ChatBotKit models. It is designed for question and answer applications. The model has a token limit of 128000 and provides a balance between cost and quality. It is a custom model based on the gpt model architecture.

This model belongs to the GPT-4o family of ChatBotKit models. It is designed for question and answer applications. The model has a token limit of 128000 and provides a balance between cost and quality. It is a custom model based on the gpt model architecture.

This model belongs to the GPT-4 Turbo family of ChatBotKit models. It is designed for question and answer applications. The model has a token limit of 128000 and provides a balance between cost and quality. It is a custom model based on the gpt model architecture.

This model belongs to the GPT-4 family of ChatBotKit models. It is designed for question and answer applications. The model has a token limit of 8 * ONE_K and provides a balance between cost and quality. It is a custom model based on the gpt model architecture.

This model belongs to the GPT 3.5 Turbo family of ChatBotKit models. It is designed for question and answer applications. The model has a token limit of 4000 and provides a balance between cost and quality. It is a custom model based on the gpt model architecture.

GPT Image 1.5 is an advanced image generation model with improved quality and capabilities. It is a natively multimodal language model that accepts both text and image inputs, and produces image outputs with enhanced fidelity.

GPT Image 1 Mini is a state-of-the-art image generation model. It is a natively multimodal language model that accepts both text and image inputs, and produces image outputs.

GPT Image 1 is a state-of-the-art image generation model. It is a natively multimodal language model that accepts both text and image inputs, and produces image outputs.

This model is based on the DALL-E 3 architecture. It is a high-quality model that can generate images from text. It is tunable and offers a balance between cost and quality.

This model is based on the DALL-E 2 architecture. It is a high-quality model that can generate images from text. It is tunable and offers a balance between cost and quality.

Gemini 3.1 Flash Image (also known as "Nano Banana 2") is Google's latest image generation and editing model delivering Pro-level visual quality at Flash speed. It combines advanced contextual understanding with fast, cost-efficient inference for complex image generation and iterative edits.

Gemini 2.5 Flash Image (also known as "Nano Banana") is Google's state-of-the-art multimodal image generation model. It excels at text-to-image and image-to-image generation with high quality and fast inference.