| Model Name | Developer | Context Window | Hardware Requirements | Primary Use Case | Estimated Monthly Cost | Performance Rating (Inferred) |
| Claude Opus 4.5 | Anthropic | Long-context (standard benchmark) | Cloud-based / Managed | Agentic reasoning, complex planning, high-stakes coding, proactive assistant | $180 – $750 | Benchmark / SOTA Reasoning |
| GPT-5.2 (Codex) | OpenAI | 400,000 | Cloud-based / Managed | High-stakes software architecture, autonomous coding, PRD generation, multi-file refactors | $20 (Plus Sub) / $400+ (Professional) | Absolute Leader in Peak Reasoning / Deterministic Workhorse |
| Kimi K2.5 | Moonshot AI | High (Mixture-of-Experts architecture) | Local (~600GB storage) or Cloud (API) | Agentic tasks, browsecomp, tool-use, agent swarms (100+ agents), research | Free (Local) / $300 (API) | Reliable Automation / Opus-level Performance |
| Gemini 3 Pro | Google | 10,000,000 | Cloud-based / Managed | Log analysis, document library processing, fast response cycles | $0.45 per API run (ballpark) | Highly Efficient / Context Leader |
| Claude 3.5 Sonnet | Anthropic | Unknown | Cloud-based / Managed | Personal AI assistant, coding, general reasoning, routine automation | $5 – $25 | Benchmark for Personal Assistants / Highly Efficient |
| GLM-4.7 / Flash | Zhipu AI | 128,000 – 200,000 | 16GB – 24GB+ VRAM / Mac M-series | Terminal-based automation, tool-calling, agentic UI/UX (Vibe Coding), multilingual coding | Free (Local) / $0.05 – $0.10 per 1M tokens | Master of Tool-Calling / Reliable Automation |
| Llama 3.3 70B | Meta AI | Unknown | 128GB Unified Memory (Mac M3 Ultra / Mini) | Local reasoning, complex code execution, general local inference | Free (Local) | High reasoning benchmark / Reliable Local Baseline |
| Qwen 2.5 72B | Alibaba Cloud | Unknown | 48GB – 128GB RAM/VRAM (Mac Studio) | General local reasoning, structured tasks, summarizing | Free (Local) | Capable Assistant / Reliable Local Baseline |
| Deepseek (V3) | DeepSeek | 64,000 | Cloud (API) / 600GB VRAM (Local) | Coding, cost-effective scaling | Usage-based (Low) | Highly Efficient |
| GPT-OSS:120B | OpenAI (Open Weights) | Unknown | 96GB VRAM (RTX 6000 Ada) | General task handling, reasoning | Free (Local) | Best in show local reasoning |
| gpt-oss-20b | Open-Source | 200,000 | 14GB – 16GB VRAM | Local privacy-focused agent workflows | Free (Local) | Variable Stability |
| Gemini 3 Flash | Google | Unknown | Cloud-based / Managed | Routine messaging, explore subagent | Free (Credits/Antigravity) | Fast & Economical |
| MiniMax M2.1 | MiniMax | Unknown | Cloud (API) | General agent tasks, coding plan | $3.00 (21 RMB/month) | Cost-Effective |
