442 results
by OpenAI·Jan 2025
Smaller, faster, cheaper reasoning variant of o3 with three selectable effort levels (low/medium/high); released as a successor to o1-mini for cost-sensitive workloads.
by DeepSeek·Dec 2024
671B/37B-active MoE with MLA and MTP, 128K context, MIT license; trained on 14.8T tokens with strong coding and math at economical inference cost.
by OpenAI·Mar 2023
OpenAI's earlier flagship multimodal (text+image) LLM, predecessor to GPT-4o, with 8K/32K context windows and strong performance on professional and academic benchmarks.
by OpenAI·Feb 2025
OpenAI's largest pre-reasoning-era model, tuned for writing and raw capability with reduced hallucinations; served as the last GPT-4-family flagship before GPT-5.
by xAI·Feb 2025
xAI's flagship reasoning LLM trained on the 100k+ GPU Colossus cluster; introduces DeepSearch and Think mode with real-time X data integration on the X platform.
by Z.ai·Dec 2025
358B MoE (~32B active) with 128K context, MIT license; interleaved thinking with preserved reasoning across turns for agentic coding and UI generation.
by OpenAI·Oct 2023
OpenAI's third-generation text-to-image model with tight prompt adherence, integrated into ChatGPT (Plus/Enterprise) and available via the API for developers.
by DeepSeek·Apr 2026
DeepSeek V4 preview: MoE with ~1M-token context via YaRN, FP8/FP4 quantization, MIT license; targets highly efficient million-token intelligence.
by Tabnine·May 2021
Enterprise AI code-completion IDE plugin supporting many editors; blends universal cloud models with private/team-local fine-tunes and code-privacy controls.
by OpenAI·Apr 2025
OpenAI's compact reasoning model succeeding o3-mini, tuned for speed and cost; supports vision and tool use natively, released alongside o3 in April 2025.
by DeepSeek·Jan 2025
Open-weight reasoning MoE (671B total/37B active) with 128K context, MIT license; RL-trained o1-class model with strong chain-of-thought on math and code.
862B DeepSeek V4 Pro MoE with compressed sparse attention and ~1M-token context, MIT license; flagship V4 tier for frontier long-context reasoning.
by Microsoft·Dec 2024
Microsoft's 14B dense Phi-4 SLM trained on synthetic textbook data, MIT license, tuned for reasoning tasks and competitive with much larger models on math/code.
by OpenAI·May 2020
OpenAI's 175B-parameter autoregressive language model introduced via research paper in 2020, notable for strong few-shot performance across NLP tasks without fine-tuning.
by OpenAI·May 2024
OpenAI's flagship omni-modal model accepting text, image, and audio input, with a 128K context window and real-time voice conversation via ChatGPT and the API.
by Google·May 2025
Google Labs asynchronous coding agent that clones repos into a cloud VM, executes multi-step tasks, and returns diffs and PRs while you work elsewhere.
by Anthropic·Jun 2024
Mid-tier Claude 3.5 model from Anthropic for chat, coding, and long-context tasks; launched alongside the Artifacts feature on claude.ai.
by Google·Apr 2026
Google's Apache 2.0 open-weight model family, tuned for advanced reasoning and agentic workflows and sized to run on developer hardware.
by Grammarly·Jul 2009
AI writing assistant providing grammar, spelling, tone, and clarity suggestions across browsers, desktop, and mobile apps for personal and business writing.
by LM Studio·May 2023
Cross-platform desktop app for discovering, downloading, and running local LLMs with a built-in chat UI and OpenAI-compatible local API server.
by Vercel·Oct 2023
Vercel's browser-based generative UI tool at v0.dev that turns text prompts into React/Tailwind/shadcn components and deployable Next.js apps.
by Alibaba·Sep 2024
Qwen 2.5 dense LLM family (0.5B-72B) with 128K context, mostly Apache-2.0; pretrained on 18T tokens with Coder, Math and 29-language multilingual variants.
by Roo Code·Nov 2024
Open-source VS Code extension (Cline fork) offering multiple agent modes (architect, code, ask, orchestrator) with support for many LLM providers and MCP.
by Lovable·Nov 2024
Prompt-to-app builder that generates full-stack web applications from natural-language descriptions; targets non-technical founders and vibe-coding workflows.
by Grammarly·Jul 2009
