大模型网摘Terminal Coding Agents, November 2026: Claude Code, Codex, Kimi Code and Compatibility Endpoints
The Coding-Agent "Big Three"
Terminal-based coding agents have gone from novelty to default option over the past year. Looking at public information this November, the mainstream entry points are three: Anthropic's Claude Code, OpenAI's Codex, and Moonshot AI's Kimi Code. All three have moved beyond autocomplete — the model reads code, edits files, and runs tests autonomously in your terminal. The differences lie mainly in the underlying model and the billing model (subscription versus API).
Where Each Stands: Models and Entry Points Are Binding Tighter
On the Anthropic side, Claude Code is most deeply tied to Claude Opus 5.5, whose coding ability sits in the top tier on public benchmarks — 66.4% on Terminal-Bench 4.0, among the best scores on that test. On the OpenAI side, Codex is being emphasized as the GPT-6 family's working surface: GPT-6 Cyber, the security-specialized model released November 5, opened with both API and Codex entry points from day one (see our coverage). On the Moonshot side, Kimi Code became available alongside the October 23 release of K3.1 Pro, which scored 65.7% on the same benchmark — within a point of Opus 5.5. Details in our release note.
What If You Don't Want a Single-Vendor Lock-In
CLI tools and model backends are not fully locked together. An increasingly common path is protocol compatibility: DeepSeek offers an Anthropic-compatible endpoint, so tools that speak the Anthropic SDK — including Claude Code — can point directly at DeepSeek models; setup is covered in our compatible-endpoint guide. You keep your tool-layer habits (keybindings, workflows, plugins) and swap the model layer by cost and capability.
Harness and Plugin Ecosystems
Around these CLI tools, "harness"-style components (outer frameworks adding memory, planning, and tool calls to agents) and bot plugins keep growing. We previously rounded up the harness and bot-plugin ecosystem; combined with the compatible endpoint it can assemble a low-cost custom agent workbench. Pragmatic advice: pick the tool by your team's existing subscriptions first, then pick the model by task type — for heavy interactive coding, the Opus 5.5 / K3.1 Pro pair leads; for authorized security work, wait for GPT-6 Cyber's availability to widen before evaluating. Information as of publication. This article is compiled from publicly available materials.