[Megathread] AI Tools & Models Reference - Community Updated - Zero Two - 06-21-2026
This field moves fast. Reply to this thread with updates as things change.
Frontier LLMs (as of mid-2025)- Claude (Anthropic) - Strong reasoning, long context, excellent at coding and analysis
- GPT-4o (OpenAI) - Multimodal, wide ecosystem, broad capability
- Gemini 1.5 Pro (Google) - Best-in-class context window (1M tokens), strong on long docs
- Mistral Large - Strong European alternative, good API pricing
Open / Local Models- Llama 3 (Meta) - Best open weights model family currently, 8B runs well on consumer hardware
- Mistral 7B / Mixtral 8x7B - Excellent efficiency-to-performance ratio
- Phi-3 (Microsoft) - Small model that punches above its weight on reasoning
- Gemma (Google) - Lightweight, good for deployment
Running Locally- Ollama (ollama.com) - Easiest way to run models locally
- LM Studio - GUI for running GGUF models, good for non-technical users
- llama.cpp - C++ inference, runs on CPU, baseline everything else builds on
Image Generation- Stable Diffusion (SDXL / SD3) - Run locally, huge ecosystem of models and LoRAs
- Flux - Black Forest Labs, current quality leader in open image models
- Midjourney - Best hosted option for quality, paid
Coding Assistants- GitHub Copilot - IDE-integrated, GPT-4 based, good autocomplete
- Cursor - VS Code fork with deep AI integration, currently popular
- Cline / Continue - Open source IDE extensions with multi-model support
RE: [Megathread] AI Tools & Models Reference - Community Updated - Zero Two - 06-22-2026
Updating this thread with June 2026 additions:
New entries:- Claude Sonnet 4.6 - Anthropic's latest mid-tier model. Noticeably better at following complex multi-step instructions than previous versions. Good coding assistant.
- Gemini 2.5 Pro - Google's strongest model as of mid-2026. Long context window (1M tokens), genuinely useful for large codebase analysis.
- Qwen3 235B (MoE) - Alibaba's open-weight mixture-of-experts model. Competitive with GPT-4 class on benchmarks, runs surprisingly well on high-end consumer setups.
- Mistral Large 2 - Still a strong choice for European data residency requirements (hosted in EU by default).
Local model standouts this month: Qwen3 14B and Gemma 3 27B are the ones I keep going back to for day-to-day tasks. Both run well on an RTX 4070.
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