Guide

Nano Banana image model for fast generation, edits, and character-consistent assets

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

DeepSeek V3.1 from Fireworks AI - text input, 163,840 token context

DeepSeek V3.1 from Synthetic - text input, 128,000 token context

Hybrid-reasoning DeepSeek model with thinking and non-thinking modes

Hybrid-reasoning DeepSeek model with thinking and non-thinking modes

DeepSeek chat model for instruction following, coding, and analysis

Legacy model retained for compatibility with older integrations

DeepSeek chat model for instruction following, coding, and analysis

Cohere reasoning model for multilingual enterprise agents, tools, and complex workflows

DeepSeek chat model for instruction following, coding, and analysis

Compact Nemotron model for efficient reasoning and deployable AI agents

Compact Nemotron model for efficient reasoning and deployable AI agents

The gpt-4o-audio-preview model adds support for audio inputs as prompts. This enhancement allows the model to detect nuances within audio recordings and add depth to generated user experiences. Audio outputs...

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

Open-weight instruction model for adaptable chat and self-hosted production workloads

A sophisticated text-based Mixture-of-Experts (MoE) model featuring 21B total parameters with 3B activated per token, delivering exceptional multimodal understanding and generation through heterogeneous MoE structures and modality-isolated routing. Supporting an...

A powerful multimodal Mixture-of-Experts chat model featuring 28B total parameters with 3B activated per token, delivering exceptional text and vision understanding through its innovative heterogeneous MoE structure with modality-isolated routing....

Mistral model for multilingual chat, reasoning, and tool-assisted workflows

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...

GLM vision model for visual reasoning, documents, and multimodal agents

GLM vision model for visual reasoning, documents, and multimodal agents

Reranking model for improving retrieval quality in search and recommendation systems

Reranking model for improving retrieval quality in search and recommendation systems

GLM vision model for visual reasoning, documents, and multimodal agents

GLM vision model for visual reasoning, documents, and multimodal agents

Jamba Mini 1.7 is a compact and efficient member of the Jamba open model family, incorporating key improvements in grounding and instruction-following while maintaining the benefits of the SSM-Transformer hybrid architecture and 256K context window. Despite its compact size, it delivers accurate, contextually grounded responses and improved steerability.

Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...

Efficient GLM model for fast reasoning, coding, and agent workflows

GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

Tiny GPT-5 lane for routing, extraction, classification, and bulk jobs

Small GPT-5 for responsive agents, coding help, and everyday automation

GPT-5 Chat (latest) from OpenAI - text, image input, 400,000 token context

Original GPT-5 workhorse for reasoning, coding, writing, and tool workflows

Small GPT-5 for responsive agents, coding help, and everyday automation

Original GPT-5 workhorse for reasoning, coding, writing, and tool workflows

Original GPT-5 workhorse for reasoning, coding, writing, and tool workflows

Tiny GPT-5 lane for routing, extraction, classification, and bulk jobs

Small GPT-5 for responsive agents, coding help, and everyday automation

Small GPT-5 for responsive agents, coding help, and everyday automation

Tiny GPT-5 lane for routing, extraction, classification, and bulk jobs

Original GPT-5 workhorse for reasoning, coding, writing, and tool workflows

Open-weight GPT model for self-hosted reasoning and instruction-following workloads

Open-weight GPT model for self-hosted reasoning and instruction-following workloads