402 results
by Meta·Dec 2023
Meta's open-weight safety classifier for filtering harmful LLM inputs/outputs; initial release was a Llama 2 7B instruction-tuned model, followed by v2, v3, and v4.
by Z.ai·Apr 2026
754B MoE (glm_moe_dsa) with DSA sparse attention, MIT license; iterative successor to GLM-5 for long-horizon agentic tasks with thousands of tool calls.
by Z.ai·Mar 2026
Faster turbo variant of Z.ai's GLM-5, optimized for agentic coding workflows; MoE with sparse attention. Announced/rumored tier; release details limited.
by Alibaba·Jan 2025
Vision-language Qwen2.5 family (3B/7B/72B) with dynamic-resolution ViT and 32K context (YaRN extendable), qwen license; strong OCR and video grounding.
by Moonshot AI·Jan 2026
1T/32B-active MoE with 256K context and MoonViT vision, Modified MIT license; native multimodal with agent-swarm parallel sub-task orchestration.
by OpenAI·Nov 2025
OpenAI's GPT-5.1 update with Instant and Thinking variants, delivering a warmer conversational tone and better instruction following on top of GPT-5's architecture.
by OpenAI·Jun 2018
First Generative Pre-trained Transformer from OpenAI (2018), a 117M-parameter decoder-only model pre-trained on unlabeled text then fine-tuned for NLP tasks.
by Mistral AI·Dec 2023
Mistral's sparse Mixture-of-Experts family; Mixtral 8x7B (46.7B total, ~12.9B active) under Apache 2.0, outperforming Llama 2 70B and GPT-3.5 on many benchmarks.
by OpenAI·Oct 2025
OpenAI's macOS web browser with ChatGPT and agent mode built in; uses the OWL architecture to let ChatGPT read the current page and take actions on the user's behalf.
by Meta·Apr 2025
Meta's fourth-generation Llama family using MoE: Scout (17B active/16 experts) and Maverick (17B active/128 experts), natively multimodal, Llama 4 Community License.
by Z.ai·Jan 2026
30B/3B-active MoE (glm4_moe_lite) with 128K context, MIT license; small/fast GLM-4.7 tier for local and agentic coding with speculative decoding.
by Alibaba·Aug 2025
Text-to-image diffusion foundation with high-fidelity Chinese/English text rendering, Apache-2.0 license; supports style transfer, editing, and multi-aspect.
by Z.ai·Apr 2025
32B dense bilingual GLM-4 model with 32K context (YaRN extendable), MIT license; strong Chinese/English chat and function-calling foundation model.
by Meta·Sep 2024
Meta's Llama 3.2 open-weight family: 1B and 3B text models with 128K context plus 11B and 90B vision multimodal variants, under the Llama 3.2 Community License.
by OpenAI·Aug 2025
OpenAI's open-weight 120B-parameter reasoning model released under Apache 2.0, aimed at production self-hosting with function calling and structured outputs support.
by Google·Feb 2026
Incremental Gemini 3 Pro upgrade with stronger core reasoning, verified 77.1% on ARC-AGI-2, shipped in preview across AI Studio, Antigravity, and Vertex AI.
by xAI·Feb 2025
Smaller, cost-efficient sibling of Grok 3 launched alongside it; reasoning-focused variant priced near GPT-4o-mini and noted for strong coding performance.
by nickgnd·Mar 2025
Open-source MCP server enabling AI assistants to read tmux pane contents, run commands, and manage terminal multiplexer sessions.
OpenAI's smaller open-weight 20B-parameter reasoning model released under Apache 2.0, designed for on-device/self-hosted use with function calling and structured outputs.
by OpenAI·Mar 2026
Smaller cost-optimized variant of GPT-5.4, available on the free tier via the Thinking feature and as an API model; ~4x pricier than GPT-5 equivalents in the OpenAI API.
OpenAI's Codex extension for VS Code, Cursor, and Windsurf providing an in-editor coding-agent UI with mode/reasoning-effort switching and sign-in with ChatGPT.
by DeepSeek·Aug 2025
Hybrid MoE (671B/37B active) with toggleable thinking mode, 128K context, MIT license; unifies V3 chat and R1 reasoning in a single hybrid model.
by EleutherAI·Jun 2021
Open-source 6-billion parameter autoregressive language model by EleutherAI, trained on The Pile; released with weights as an alternative to GPT-3.
by Microsoft·Mar 2025
Microsoft's MCP server for browser automation via Playwright, giving AI agents deterministic control over pages, forms, and network for testing and scraping.