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General writing and reasoning. Attach a text output to work from it.

Small, quick and cheap. Good for rewrites, titles and short copy.

General writing.

Abliterated Large Flash is Abliteration AI's unrestricted multimodal model, based on DeepSeek V4.1 Flash and further abliterated.

Abliterated Large V2 is Abliteration AI's unrestricted reasoning model, based on GLM-5.3 and further abliterated and fine-tuned.

Aion 3.0 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models.

Aion 3.0 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the DeepSeek family of models.

Aion 3.5, the successor to Aion 3.0, is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models, with a longer context window.

Aion 3.5 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models.

Claude Fable 5 is a model from Anthropic designed for demanding reasoning and long-horizon agentic work.

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work such as long code refacto

Claude Fable 5.2 improves on Claude Fable 5.1 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work such as long code refac

Claude Haiku 5.5 is built for high-volume, latency-sensitive work such as classification, routing, extraction, and subagent tasks.

Claude Opus 4.5 is Anthropic's frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use.

Claude Opus 4.6 is a reasoning model from Anthropic, building on Opus 4.5 with enhanced performance across complex software engineering, agentic workflows, and long-horizon tasks.

Claude Opus 4.7 is a model from Anthropic for complex reasoning and agentic coding.

Claude Opus 4.8 is the successor to Opus 4.7 in Anthropic's Opus family.

Claude Opus 4.8 (Fast) is a speed-optimized variant of Claude Opus 4.8, offering the same 1M token context window and strong performance across long-horizon agentic work and comple

Claude Opus 5, the successor to Opus 4.8, delivers major gains in agentic coding, professional knowledge work, and long-horizon reasoning, with a 1M token context window, 128K max

Claude Opus 5 (Fast) is a speed-optimized variant of Claude Opus 5, offering the same 1M token context window and strong performance across agentic coding, professional knowledge w

Claude Opus 5.5 is a step-change improvement over Opus 5, with the biggest gains in agentic coding, long-running agentic tasks, and knowledge work.

Claude Opus 5.5 Fast serves the same Opus 5.5 model with faster output generation, a 1M token context window, up to 128K output tokens, adaptive thinking, vision, and tool calling.

Claude Sonnet 4.6 is Anthropic's best combination of speed and intelligence, offering strong performance on coding, reasoning, and general tasks with excellent speed and cost efficiency.

Claude Sonnet 5 follows Sonnet 4.6, substantially improving on it in coding and agentic work and reaching near-Opus quality on many tasks.

Claude Sonnet 5.5 is a step-change improvement over Sonnet 5.

Seed 2.1 Turbo (Dola-Seed-2.1) is ByteDance’s next-generation multimodal model for the coding and agent era, with engineering-grade code delivery, long-horizon agent execution, and

DeepSeek-V3.2 is an efficient large language model with DeepSeek Sparse Attention (DSA) for long contexts.

DeepSeek V4 Flash is an efficiency-optimized 284B-parameter Mixture-of-Experts model with 13B active parameters and a 1M-token context window.

DeepSeek V4 Flash 0731 follows the 0423 release of DeepSeek V4 Flash, an efficiency-optimized 284B-parameter Mixture-of-Experts model with 13B active parameters and a 1M-token context window.

DeepSeek V4 Flash 0731 follows the 0423 release of DeepSeek V4 Flash, an efficiency-optimized 284B-parameter Mixture-of-Experts model with 13B active parameters and a 1M-token context window.

DeepSeek V4 Pro is a 1.6T-parameter Mixture-of-Experts model with 49B active parameters and a 1M-token context window.

DeepSeek V4 Pro is a 1.6T-parameter Mixture-of-Experts model with 49B active parameters and a 1M-token context window.

DeepSeek V4.1 Flash is a multimodal Mixture-of-Experts model with 552B backbone parameters (8B active on input, 16B on output) and a 1M-token context window.

DeepSeek V4.1 Flash is a multimodal Mixture-of-Experts model with 552B backbone parameters (8B active on input, 16B on output) and a 1M-token context window.

DeepSeek V4.1 Flash is a multimodal Mixture-of-Experts model with 552B backbone parameters (8B active on input, 16B on output) and a 1M-token context window.

DeepSeek V4.1 Flash 1017 Uncensored is an abliterated, uncensored variant of DeepSeek V4.1 Flash 1017, a multimodal Mixture-of-Experts model with 552B backbone parameters (8B activ

DeepSeek V4.1 Flash Uncensored is an abliterated, uncensored variant of DeepSeek V4.1 Flash, a multimodal Mixture-of-Experts model with 552B backbone parameters (8B active on input

Tuned for immersive roleplay, character dialogue and open-ended creative writing.

Mistral 24B fine-tune for open-ended writing, roleplay and unfiltered dialogue.

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

Gemini 3.1 Pro is an evolution of Google's flagship frontier model with 1M context, advancing high-precision multimodal reasoning across text, image, and code.

Gemini 3.5 Flash is a high speed, high value thinking model with 1M context, designed for agentic workflows, multi-turn chat, and coding assistance.

Gemini 3.5 Flash-Lite is the fastest, most cost-efficient Gemini 3.5 model with 1M context, ideal for everyday questions, summarization, and lightweight coding tasks.

Gemini 3.6 Flash, the successor to Gemini 3.5 Flash, is a high speed, high value thinking model with 1M context, designed for agentic workflows, multi-turn chat, and coding assistance.

Gemini 3.7 Flash, the successor to Gemini 3.6 Flash, is built for complex coding, agentic workflows, and reliable multi-step execution, with 1M context and tunable thinking.

Gemini 3.8 Flash, the successor to Gemini 3.7 Flash, is built for complex coding, agentic workflows, and reliable multi-step execution, with 1M context and tunable thinking.

Gemini 4 Argon is Google's frontier model for complex workflows across software engineering, enterprise knowledge work, and cybersecurity defense, with a unified 1M token context w

Gemini 4 Carbon is Google's frontier model for long-horizon agentic work across software engineering, scientific reasoning, and cybersecurity defense, with a unified 1M token conte

Gemma 4 Uncensored is an uncensored variant of Google Gemma 4 26B, a Mixture-of-Experts model with 26B total parameters and only 4B active per token.

Gemma 3 introduces multimodality, supporting vision-language input and text outputs.

Gemma 4 26B A4B is a Mixture-of-Experts model from Google DeepMind with 26B total parameters and only 4B active per token, offering fast inference at high quality.

Gemma 4 31B is a dense model from Google DeepMind with 31B parameters, delivering frontier-level reasoning performance.

Llama 3.2 3B is a lightweight model from Meta's Llama 3.2 family, sized for fast, low-cost tasks such as summarization, classification and rewriting.

Llama 3.3 70B is Meta's instruction-tuned 70-billion-parameter Llama model, which Meta reports performs close to its much larger Llama 3.1 405B on many tasks.

Muse Spark Open is an open-weight reasoning model from Meta for coding and agentic workflows.

Muse Wonder is a frontier reasoning model from Meta for complex personal and professional agentic tasks.

MiniMax-M2.5 is a large language model optimized for coding, agentic workflows, and modern application development with enhanced reasoning capabilities.

MiniMax-M2.7 is a large language model designed for autonomous, real-world productivity with advanced agentic capabilities through multi-agent collaboration.

MiniMax-M3 preview is a 1.4T-parameter frontier model from MiniMax for coding, agentic workflows, and complex reasoning, served at fp8 with a 512K context window.

MiniMax M3.1 Flash is a frontier model for coding, agentic workflows, and complex reasoning, with a 1M-token context window, text, image, and video input, and tunable thinking dept

Mistral Small 3.2 is a 24B parameter model optimized for efficiency and performance.

Kimi K2.5 is an open reasoning model from Moonshot AI, featuring trillion-parameter Mixture-of-Experts architecture with 32B active parameters and a 256K-token context window.

Kimi K2.6 is an open-source, native multimodal agentic model from Moonshot AI with 1T total parameters and 32B active parameters.

Kimi K2.7 Code is Moonshot AI's coding-focused agentic model built on Kimi K2.6, with 1T total parameters and 32B active parameters.

Kimi K3 is an ultra-large-scale, open-weight multimodal reasoning model from Moonshot AI.

Kimi K3 is an ultra-large-scale, open-weight multimodal reasoning model from Moonshot AI.

Kimi K3.1 Pro is Moonshot AI's flagship multimodal reasoning model and the post-trained successor to Kimi K3, with a 1M-token context window.

Kimi K3.1 Pro Highspeed is the faster variant of Kimi K3.1 Pro, Moonshot AI's flagship multimodal reasoning model.

NVIDIA Nemotron 3 Nano 30B is a compact and efficient language model from NVIDIA, optimized for fast inference while maintaining strong performance across diverse tasks.

NVIDIA Nemotron 3 Ultra is built for frontier reasoning, orchestration, coding agents, deep research, and complex enterprise workflows.

NVIDIA Nemotron 3.5 Super VL is an open multimodal vision-language model for specialized agents.

GLM-4.7-Flash-Heretic is an uncensored experimental variant of GLM-4.7-Flash, optimized for creative freedom and unfiltered dialogue with fast inference speed.

OpenAI's multimodal model with vision capabilities, strong reasoning, and broad knowledge.

OpenAI's cost-efficient small model that delivers GPT-4 level intelligence at a fraction of the cost.

GPT-5.2 is a frontier-grade model in the GPT-5 series, offering stronger agentic and long context performance compared to GPT-5.1.

GPT-5.3 Codex, the successor to GPT-5.2 Codex, is OpenAI's specialized coding model, optimized for advanced software development, code generation, and technical problem-solving.

GPT-5.4, the successor to GPT-5.2, is a frontier model in the GPT-5 series with a 1M+ context window, offering improved agentic and long context performance.

GPT-5.4 Mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads.

GPT-5.4 Pro builds on GPT-5.4's unified architecture with enhanced reasoning for complex, high-stakes tasks.

GPT-5.5, the successor to GPT-5.4, is a frontier model in the GPT-5 series with a 1M+ context window, offering improved agentic and long context performance.

GPT-5.5 Pro, the successor to GPT-5.4 Pro, builds on GPT-5.5's unified architecture with enhanced reasoning for complex, high-stakes tasks.

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.

GPT-5.6 Luna Pro is the same underlying model as GPT-5.6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series.

GPT-5.6 Sol Pro is the same underlying model as GPT-5.6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier.

GPT-5.6 Terra Pro is the same underlying model as GPT-5.6 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

GPT-6 Astra is OpenAI's most capable model, built for the hardest end-to-end work.

GPT-6 Astra with pro reasoning mode for difficult tasks that benefit from more model work.

GPT-6 Sol is built for complex coding and agentic workflows.

GPT-6.1 Sol delivers near-Astra performance at a lower cost for complex coding, computer use, and professional work.

GPT-6.1 Sol Ultrafast is the same model served in OpenAI's Ultrafast mode, up to 8x faster.

GPT-6.1 Terra is a fast, efficient model for visual reasoning, precise computer use, and clear, natural writing.

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.

Answers directly, without a reasoning step.

Reasons step by step before it answers.

Turbo variant of Qwen3 Coder 480B, optimized for faster inference on code tasks.

Optimized for speed and efficiency.

Qwen 3.5 35B A3B is a highly efficient MoE model with 35B total parameters and only 3B active parameters.

Qwen 3.5 is a reasoning model from Alibaba featuring a 397B parameter Mixture-of-Experts architecture with 17B active parameters.

The Qwen 3.6 27B native vision-language dense model builds upon the 3.5-27B version, with key improvements in agentic coding capabilities and enhanced STEM reasoning and inference skills.

Qwen 3.6 35B A3B is a fast mixture-of-experts model with 35B total parameters and ~3B active per token.

Qwen 3.6 Plus Uncensored is an uncensored variant of Alibaba's Qwen 3.6 Plus, a reasoning model with exceptional performance across coding, reasoning, and general knowledge tasks.

Qwen 3.7 Max is the largest model in the Qwen 3.7 series, with deep thinking, function calling, prompt caching, and multimodal input support for images and video.

Qwen 3.7 Plus, the successor to Qwen 3.6 Plus, is a reasoning model from Alibaba with exceptional performance across coding, reasoning, and general knowledge tasks.

Qwen 3.8 2.4T is Alibaba's open-weight 2.4-trillion-parameter MoE model (95B active), with major gains in software engineering, research, and long-horizon agentic tasks.

Qwen 3.8 27B is a native vision-language dense model with 27B parameters.

Qwen 3.8 Flash is a multimodal model in the Qwen family, pairing strong reasoning and generation with remarkable speed.

Qwen 3.8 Max is Alibaba's flagship 2.4-trillion-parameter MoE model, with major gains over Qwen 3.7 Max in software engineering and office-productivity workflows and strong long-ho

Qwen3-VL 235B vision-language model with MoE architecture.

Hy4 Preview is a 770B-parameter Mixture-of-Experts flagship model from the Tencent Hy team, with 49B parameters active per token and a 1M-token context window.

Pareto is a blended model that runs several frontier models in parallel on every request and returns one answer.

Grok 4.20 is xAI's multimodal reasoning model with strong tool use, structured output support, and a 2M-token context window.

Grok 4.20 Multi-Agent is a variant of xAI Grok 4.20 designed for collaborative, agent-based workflows.

Grok 4.3 is a reasoning model from xAI with function calling, structured outputs, and a 1M-token context window.

Grok 4.5 is xAI's intelligent coding model for agentic software engineering and workflow tasks, with function calling, structured outputs, and a 500K-token context window.

Grok 4.6 is xAI's multimodal chat and reasoning model with function calling, structured outputs, adjustable reasoning effort (low/medium/high/xhigh), and a 500K-token context window.

Grok 4.7, the successor to Grok 4.6, is xAI's multimodal chat and reasoning model with function calling, structured outputs, adjustable reasoning effort (low/medium/high/xhigh), an

xAI's fast coding model trained specifically for agentic coding, currently in early access.

MiMo-V2.5 is Xiaomi's native omnimodal model with strong agentic capabilities, supporting text, image, video, and audio understanding in a unified architecture.

MiMo-V2.6-Flash is Xiaomi's efficiency-balanced omnimodal model: a sparse Mixture-of-Experts with 309B total and 15B activated parameters, natively understanding text, image, video

GLM-4.6 is a large language model developed by Z.ai, featuring strong reasoning capabilities and support for multiple languages.

GLM-4.7, the successor to GLM-4.6, is a large language model developed by Z.ai, featuring strong reasoning capabilities and support for multiple languages.

GLM-5, the successor to GLM-4.7, is a large language model developed by Z.ai, featuring significantly enhanced reasoning capabilities, improved instruction following, and support f

GLM-5 Turbo is a fast inference model from Z.ai tuned for strong performance in agent-driven environments and production coding workflows.

GLM-5.1, the successor to GLM-5, is a large language model developed by Z.ai, featuring significantly enhanced reasoning capabilities, improved instruction following, and support f

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.

GLM-5.3 Flash is a reasoning model designed for coding, sustained agentic work, and production workloads.

GLM-5V-Turbo is Z.ai's first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks with image and text inputs.