| Category | Coding Assistants | LLM APIs & Inference |
| Pricing | Included with eligible ChatGPT plans; additional credits available | Free tier available, pay-per-token for production |
| GitHub Stars | ✓ More stars | — |
| Platforms | macOS, Windows, Linux, Web | Web |
| Key Features | - ✓ Terminal coding agent
- ✓ IDE extension
- ✓ Web and desktop app
- ✓ Multi-agent workflows
- ✓ Cloud environments
- ✓ Worktrees
- ✓ PR review
- ✓ MCP and tool use
| - ✓ LPU hardware — custom chips for inference, not repurposed GPUs
- ✓ GPT OSS 120B at 500 tok/s ($0.15/M input)
- ✓ GPT OSS 20B at 1000 tok/s ($0.075/M input)
- ✓ Llama 4 Scout 17B at 750 tok/s with 131K context + vision
- ✓ Qwen3-32B at 400 tok/s with 131K context
- ✓ Compound AI systems with web search + code execution
- ✓ Whisper transcription ($0.04-0.11/hour)
- ✓ OpenAI-compatible API — drop-in replacement
- ✓ Free developer tier: 250-300K TPM, 1K RPM
|
| Pros | - + Official OpenAI coding agent
- + Works across CLI, IDE, web, desktop, and cloud
- + Open-source CLI under Apache-2.0
- + Strong fit for parallel agent workflows
- + Designed for end-to-end software tasks and PR review
| - + Fastest inference available (500-1000 tok/s)
- + Free tier with generous limits (250K+ tokens/min)
- + OpenAI-compatible API — swap one line of code
- + Latest open-source models (GPT OSS, Llama 4, Qwen3)
- + Compound AI for agentic workflows (search + code exec)
|
| Cons | - − Usage limits vary by ChatGPT plan
- − Cloud and ChatGPT surfaces are proprietary
- − Autonomous code changes still require review
- − Team controls depend on workspace plan
| - − Cloud-only — cannot self-host LPU hardware
- − Rate limits on free tier (1K RPM)
- − Smaller model catalog than running locally via Ollama
|
| Tags | codingagenticcliideopenaichatgptmulti-agent | inferencefastfreehardware |