The terminal-based AI coding assistant space has exploded. What was a two-tool market in 2024 (GitHub Copilot CLI and... nothing) has become a crowded field of 10+ serious contenders, each with different architectures, pricing models, and philosophical approaches to how AI should assist developers.
I spent the last quarter benchmarking all of them. Here's what I found.
The Short Version
- Best intelligence-per-dollar: Codex CLI (included with ChatGPT Plus)
- Best free tier: Antigravity CLI (formerly Gemini CLI)
- Best Git-native safety: Aider
- Best provider independence: OpenCode (75+ model providers)
- Best autonomy: Claude Code
- Best IDE-native CLI: Cursor CLI
How They Compare
| Tool | Best For | Starting Price | Key Strength |
|---|---|---|---|
| Claude Code | Autonomous execution | $20/mo (Pro) | Sub-agent architecture, multi-file refactoring |
| Codex CLI | Intelligence-per-dollar | ChatGPT Plus ($20/mo) | GPT-5.5 reasoning, Rust performance |
| OpenCode | Provider flexibility | API keys only | 75+ providers, local models |
| Aider | Git safety | Free + API tokens | Auto-commits every change |
| Antigravity | Free tier | Free (60 req/min) | Zero-cost entry point |
| Goose | Multi-model | Free | Serverless architecture |
The Big Trade-off: Autonomy vs Control
The defining axis in 2026 isn't which model runs under the hood — it's how much autonomy you want.
Claude Code and Codex CLI represent the "full autonomy" end: give them a task, and they'll plan, code, test, and iterate without your input. Aider and OpenCode sit at the "guided pair programming" end: every change is proposed, reviewed, and committed with explicit approval.
Neither approach is universally better. If you're doing well-understood refactoring tasks (rename this API, add error handling), autonomy saves hours. If you're building something novel or architecturally complex, guided interaction prevents costly mistakes.
The Surprise: OpenCode's Model Flexibility
The most interesting tool that doesn't get enough attention is OpenCode. It supports 75+ model providers including local Ollama models — meaning you can run the same CLI workflow against GPT-5.5, Claude Opus 4.8, DeepSeek, or a local 7B model on your laptop. This flexibility is unique in the space and makes OpenCode the best choice if you want to experiment across models without switching tools.
What About Cost?
The pricing models vary dramatically:
- Aider: Free + API tokens (~$10-30/mo for moderate use)
- OpenCode: Free + API tokens (same model as Aider)
- Claude Code: $20/mo (500 credits), heavy users $200+/mo
- Codex CLI: Bundled with ChatGPT Plus ($20/mo)
- Antigravity: Free (60 req/min, no credit card)
- Goose: Free
- Cursor CLI: $20/mo
For cost-conscious teams, Aider or OpenCode with a cheap model provider (DeepSeek, Gemini) gives you CLI AI assistance for under $15/month.
The Full Breakdown
This is a condensed version. The full comparison with detailed benchmarks, SWE-bench scores, and workflow examples for each tool is on my site:
Top comments (1)
Interesting comparison. I think the next important factor after autonomy vs control will be context efficiency.
As agents become more capable, the bottleneck is often not the model itself but how much useful context they can process during long sessions. Tool responses, browser state, docs, and project metadata can consume a huge part of the context window.
The CLI agents that handle information flow well will probably have a big advantage.