LLM Notes
A few notes and links for large language models (LLMs) as of Feb 2026.
Use Cases
Divergent Thinking
For divergent thinking, I use Anthropic’s Claude Opus 4.5 (via Claude Code).
I like its agency: it takes initiative and completes tasks without much back-and-forth unless you use Plan Mode.
Converging Thoughts → Writing Code
Once I have a plan, I switch to OpenAI’s GPT-5.2-Codex (via the Codex CLI).
Rough workflow:
- Claude Opus 4.5 for initiative and divergence (get something moving)
- GPT-5.2 Codex for implementation (write the code)
2026-Q1 Gen-AI Guide (Personal Workflow)
| Vendor | Models (January 2026) | Max Context | Best At |
|---|---|---|---|
| OpenAI | GPT-5.2 (Codex) (system card (PDF)) | — | Code writing & implementation |
| GPT-4.1 | 1M tokens | Code & structured work, logic | |
| o3 | 200k | Creative writing, brainstorming, ideation | |
| Gemini 2.5 Pro | 1M | Code, large codebases, large context prompts | |
| Gemini 2.5 Flash (docs) | 128k | Fast responses | |
| Anthropic | Claude 4 Sonnet | 200k | Code & structured work, logic |
| Claude Opus 4.5 (system card (PDF)) | — | Agentic workflows, ideation, divergence | |
| Claude 3.7 Sonnet | 200k | Code & structured work, logic | |
| Meta | Llama 4 Scout (open) | 10M/1M | Open Weight LLM |
| xAI | Grok 3 | 130k | Reasoning, code & structured work, logic |
| Grok 4 | 256k | Reasoning, coding, multimodal | |
| DeepSeek | V3-0324, R1-0528 | 64k | Cost-sensitive experimentation |
OpenAI
- GPT-5.2-Codex - My default for implementation (via Codex CLI)
Anthropic
- Claude (Wikipedia)
- System cards (PDF)
- Claude Opus 4.5 - My default for agentic/divergent work (via Claude Code)
- Claude 4.5 Sonnet - Sept 29, 2025
Previous Anthropic models
- **Claude 4 Sonnet** - July 3, 2025 - **Claude 3.7 Sonnet** - February 24, 2025 ([system card](https://www.anthropic.com/claude-3-7-sonnet-system-card)) - **Claude 3.5 Sonnet** - June 20, 2024Previous Google models
- **Gemini 2.5 Pro** - June 2025 ([model card](https://storage.googleapis.com/model-cards/documents/gemini-2.5-pro-preview.pdf))Decoding OpenAI’s Labels
| Label | Translation |
|---|---|
| o* | “Omni” = multimodal & agent-ready |
| 4.1 | Latest GPT-4 weights |
| mini / nano | Fewer parameters → lower cost & latency |
Snapshot suffixes (e.g., -0425) indicate frozen weights date.
Apps and Links
- AI Studio - Google’s Gemini playground
- NotebookLM - Google’s tool for working with PDFs, text, YouTube videos
- OpenAI Playground
- ChatGPT
- Claude
- Meta Llama
- xAI Grok
Notes
- Open-weight models (June 2025 - Feb 2026):
- Kimi K2.5 - Moonshot AI
- Kimi K2 Thinking - Moonshot AI
- Qwen 3 - Alibaba Qwen
- DeepSeek R1/V3.2 - DeepSeek
- GLM-4.7 - Zhipu AI
- MiniMax M2.1 - MiniMax
- Llama 4 Scout - Meta
- Mistral Small 3 - Mistral AI
- synthetic.new - API provider for open-weight models (GLM-4.7, MiniMax M2.1).
- “Context” refers to how many tokens the model can process in a single request. For Anthropic models, see their context windows documentation.