AI Model Directory
Search every model by capability, price, privacy and more, all on Opper.
Claude Opus 5.5, Anthropic's model for long-running agentic coding, computer use, and knowledge work, with always-on adaptive thinking, a 1M-token context, and 128K output.
GPT-6 Astra is OpenAI's flagship model for computer use, software engineering, and scientific work, with a 1.05M token context and 128K output.
GPT-6.1 Sol combines near-Astra performance with lower cost for coding and professional workflows, with a 1.05M-token context and five reasoning effort levels.
Claude Sonnet 5.5 is Anthropic's fast model for scoped coding, bug fixing, agent work, and polished documents, with adaptive thinking and a one million token context window.
Visual reasoning, computer use, and clear writing.
Gemini 4 Argon is Google's flagship reasoning model for long, multi-step coding, security and knowledge work, with 1M context and text, image, audio, video and PDF input.
Claude Fable 5.1 is Anthropic's frontier model for agentic coding, knowledge work, and long-running problem solving, with a 1M token context and 128K output.
Moonshot’s Kimi K3.1 Pro is a million-token multimodal reasoning model for coding, agents and visual analysis.
Muse Spark 1.3 is the latest of Meta's Muse Spark models, cutting tool calls and tokens versus Muse Spark 1.2 across a 1M token context with image and video input.
Claude Haiku 5.5 is Anthropic’s fast, low-cost model for high-volume summaries, classification, customer support, and scoped agent tasks.
Grok 4.7, xAI's frontier model for coding, agentic tasks, and professional knowledge work, with a 500K-token context, image input, and adjustable reasoning effort.
Qwen3.8-Max, Alibaba's 2.4T-parameter MoE flagship with hybrid thinking, vision input, and a context window approaching one million tokens.
DeepSeek V4.1 Flash (1017) is DeepSeek's October 2026 update to V4.1 Flash: the same multimodal MoE with a 1M-token context, now stronger at coding and agent work while writing shorter answers.
GLM-5.3 by Z.ai is a 744B open-weight coding and agentic model, post-trained on the GLM-5.2 base with a 1M-token context and low, high, and max reasoning effort levels.
Gemini 3.8 Flash is Google's workhorse multimodal model for software engineering and agentic tasks, pairing 1M context with image, audio, video, and PDF input.
Xiaomi MiMo V2.6 Pro is a 1.02T parameter sparse MoE (42B active) omnimodal reasoning model for long-horizon coding and multi-tool agents, with a 1M token context.
Open-weight, 1M-context MiniMax model for coding and agents with text, image and video input.
GPT-6 Luna, OpenAI's fastest and most efficient GPT-6 model for focused, high-volume work like extraction, summarization, and classification, with a 1.05M-token context and six reasoning effort levels.
Xiaomi MiMo V2.6 Flash is a 309B parameter sparse MoE (15B active) omnimodal reasoning model tuned for efficient agentic coding and tool use, with a 1M token context.
Mistral Large 4, Mistral AI's flagship open-weight model: a 1T-parameter mixture of experts (49B active) with native image input, tool use, optional reasoning and long context.
Muse Spark Open is the open-weight release of Meta's Muse Spark, an 816B mixture-of-experts model with 42B active parameters for coding and agentic work that reads text, images, audio and video across a 1M-token context.
DeepSeek V4 Pro, flagship 1.6T MoE with 1M context and hybrid thinking for frontier reasoning and agents.
DeepSeek V4 Pro 0813 is the general availability build of DeepSeek's 1M-context flagship, tuned for agentic tool use and terminal-driven work.
Qwen3.8 27B by Alibaba is a dense 27B open-weight vision-language model with image and video input, a 262K native context, thinking on by default, and Apache 2.0 weights.
MiniMax M3: natively multimodal 428B Mixture-of-Experts model with ~23B active parameters, MiniMax Sparse Attention for long context, and 59.0% on SWE-Bench Pro
Nemotron 3.5 Super VL is NVIDIA's open vision-language model, a 120B hybrid Mamba-Transformer mixture-of-experts with 12B active parameters that reads text, images and video across a 1M-token context for reasoning, coding and tool use.
Inkling-Small is Thinking Machines Lab's 276B open-weight multimodal Mixture-of-Experts, 12B active, that matches or beats the full Inkling on agentic coding at a quarter of the size.
Inkling is Thinking Machines Lab's first from-scratch model, a 975B open-weights Mixture-of-Experts with 41B active and native text, image and audio input.
Gemini 3.5 Flash Lite is Google's low-latency workhorse for high-volume automation, pairing 1M context with audio, video, and PDF understanding.
Claude Opus 5 is Anthropic's flagship for complex agentic coding and enterprise work, with a 1M token context window and adaptive thinking.
Claude Fable 5 by Anthropic, state-of-the-art generalist model with advanced vision and 1M token context for complex software engineering and reasoning.
GPT-6 Sol, OpenAI's mid-tier GPT-6 model built for complex coding and agentic workflows, with a 1.05M-token context, image input and six reasoning effort levels.
GPT-5.6 Sol tops OpenAI's GPT-5.6 family, the frontier tier for complex coding, deep research, and long-running agents with a 1M token context.
Kimi K3 by Moonshot: open-weight 2.8 trillion parameter MoE with 104 billion active, native vision, and a 1M token context for long-horizon coding and agentic work.
GPT-5.6 Terra is the balanced middle tier of OpenAI's GPT-5.6 family, pairing near-flagship quality with everyday speed and a 1M token context.
Claude Opus 4.8 by Anthropic, highly capable model for complex reasoning, coding, and agentic work with 1M context and improved efficiency.
GLM-5.3-Flash by Z.ai is a natively multimodal 320B MoE with 18B active parameters, hybrid sparse and linear attention, a 1M-token context, and MIT open weights for coding and agent work.
Ling 3.1 Flash is inclusionAI's hybrid reasoning model, a 560B hybrid-linear mixture-of-experts with 25B active parameters built for agents, search, office work and software engineering.
Claude Opus 4.7 by Anthropic, advanced vision and coding model with 1M context for complex long-running agentic workflows.
Qwen3.8-2.4T-A95B is the open-weight release of Alibaba's Qwen3.8-Max flagship, a 2.4 trillion parameter Mixture-of-Experts activating 95B per token.
Qwen3.8 Flash-Next by Alibaba is a multimodal MoE with a 125B backbone and 6B active parameters, an early look at the Qwen4 architecture with 262K native context for coding and agents.
Gemini 3.7 Flash is Google's August 2026 Flash release, a large step up in coding and agentic automation over 3.6 while keeping the 1M-token multimodal context.
Muse Spark 1.2, Meta's flagship coding and multimodal model with a million-token context, built for large codebases and agentic tool use.
DeepSeek V4.1 Flash is a 552B multimodal MoE with a causal encoder-decoder design, 8B to 16B active parameters, a 1M-token context, and MIT weights for fast agentic coding.
The Opper model directory lists every large language model on the gateway, with image, video, and voice models alongside them, and the decision models that answer typed questions instead of writing text. Filter by price, context window, capability, benchmark score, hosting region, and zero data retention, then run any of them through one OpenAI-compatible API and a single key. The default order leads with the models Artificial Analysis ranks highest on its intelligence index, which you can see in full on the LLM leaderboard. Put two models head to head on the comparison pages, or read how routing and fallbacks work on the LLM gateway.
