Large Language Models
Who is winning the race to the bottom?
| Provider | Model | Open | Strengths |
|---|---|---|---|
| Anthropic | Claude 3.7 | AI coding, creative reasoning | |
| DeepSeek | R1 V3 | ✓ | Scientific research, cost |
| ElevenLabs | Turbo v2.5 | Voice cloning, TTS | |
| Gemini 2.0 | Multimodal, deep research | ||
| Meta | Llama | ✓ | Open source ecosystem |
| Nous Research | — | ✓ | Decentralised models |
| OpenAI | GPT-4o / o3 | Broad ecosystem, agents | |
| Perplexity | — | Search-native reasoning | |
| Qwen | Qwen 2.5 | ✓ | Multilingual, open source |
| XAI | Grok | Real-time data, image gen |
For modality capabilities — voice, image, video — see AI Modalities.
The market commoditises fast. Model selection matters less than prompting capability — knowing how to direct whichever model you use.
Model Selection
Review your Platform Stack regularly.
Gain maximum leverage by focusing on one critical job to be done at a time.
- Identify a recurring need
- Find the best tool — cost, speed, accuracy
- Master functionality
- Glue to workflows
If the tool does not exist, investigate building it.
Subject Expertise
- Prompting — The capability that transfers across all models
- Text Prompts — Copy-paste templates and provider guides
- Visual Prompting — Image and video prompt structure
- AI Agents — AI agents and the jobs they perform
- AI Coding — Best AI coding tools and strategies
Context
- AI Modalities — Voice, vision, video, audio, 3D capabilities
- Agent Frameworks — Platform for developing agents
- AI and Crypto — Decentralised compute and coordination
- SaaS Toolkit — Horizontal tools that amplify capabilities