aI llm models - ghdrako/doc_snipets GitHub Wiki
gpt4.1-nano gpt4.1-mini gpt41
Chatgpt
Reasoning Languave models - Reinforcement Learning from Verifiable Rewards (RLVR)
Reasoning models with access to tools can plan out multi-step tasks, execute on them and continue to reason about the results such that they can update their plans to better achieve the desired goal.
- o3,o3-mini “o” stood for “omni”
- o4-mini-high
- Gemini 2.0 flash thinking
- Deepseek R1
Polskie
- Bielik 7B
- PLLuM
CLI coding agents - LLM systems that can write code, execute that code, inspect the results and then iterate further.
Chinese AI models - open weight models
- DeepSeek
- Alibaba Qwen (Qwen3)
- Moonshot AI (Kimi K2)
- Z.ai (GLM-4.5/4.6/4.7)
- MiniMax (M2)
- MetaStone AI (XBai o4)
Meta’s Llama models were by far the most popular open weight models
Image generation
- OpenAI made this new image generation available in ChatGPT with the key feature that you could upload your own images and use prompts to tell it how to modify them
- GPT-4o multimodal output—the “o” stood for “omni”
- Qwen-Image generation model
- Qwen-Image-Edit
- "Nano Banana" in public (the API model was called "Gemini 2.5 Flash Image").