Compare AI agents & models

The two strongest vendor coding agents, head to head: Anthropic's Claude Code against OpenAI's Codex. Both live in your terminal and IDE; the real differences are the models behind them and how you pay.

The two most-used personal agents in the world by real token volume, compared: Nous Research's Hermes against the OpenClaw community juggernaut. Both are open source, self-hosted, and run all day on your behalf.

OpenAI's terminal agent against the agentic IDE. Codex and Cursor solve the same problem, AI that writes real code in real repositories, from opposite directions: one lives in your shell, the other replaces your editor.

The maximalist against the minimalist. OpenClaw is the biggest personal-agent ecosystem in open source; Zeroclaw is a deliberate counter-reaction, a tiny Rust agent you can audit before you trust. Which philosophy fits you?

The strongest terminal agent against the strongest agentic IDE. Claude Code and Cursor are the two most common answers to "what should my team adopt?", and they are less interchangeable than they look.

The frontier matchup of mid-2026: Anthropic's brand-new Fable 5 against OpenAI's GPT-5.5. Both top their vendors' lineups; here is how they actually compare on the boards and the bill.

The price-matched flagship fight: Claude Opus 4.8 and GPT-5.5 both cost $5 per million input tokens, which makes this the rare comparison where capability is the only question.

The workhorse tier, where most real coding spend actually goes: Claude Sonnet 4.6 against GPT-5.4. Neither is the headline flagship; both are what teams quietly run all day.

The two best open-weight models in the world, head to head: Moonshot's Kimi K2.6 against DeepSeek V4. Both are Chinese, both publish weights, and both undercut US flagships by an order of magnitude.

The budget-tier battle from the big labs: Google's Gemini 3 Flash against OpenAI's GPT-5.4 Mini. These two carry most of the world's high-volume AI traffic; here is which one to default to.