Bench test · AI Coding
Ollama vs Cursor
Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.
| Ollama | Cursor | |
|---|---|---|
| consensus | score8.5/10 | score8.6/10 |
| agents won | 1 / 4 | 2 / 4 ▲ |
| from | Free | $20/mo ▲ |
| free tier | yes | yes |
| category | AI Coding | AI Coding |
Agent panel — head to head
| Anthropic | 7.8 | 8.2 ▲ |
| OpenAI | 8.4 | 8.4 |
| Gemini | 9.2 ▲ | 8.5 |
| Grok | 8.5 | 9.2 ▲ |
Ollama
- ✓Complete privacy and data security
- ✓No subscription costs or API fees
- ✓Works offline with fast inference
- —Requires significant local hardware (GPU/RAM)
- —Smaller models may have lower code quality than cloud alternatives
- —Slower inference than optimized cloud services
Local LLM execution (no internet required)Multi-model support (Llama, Mistral, CodeLlama, etc.)API server for IDE/editor integrationAutomatic model downloading and managementGPU acceleration supportLightweight resource footprint
Cursor
- ✓Significantly accelerates development workflow
- ✓Reduces boilerplate and repetitive coding
- ✓Familiar VS Code-based interface
- —Requires API keys and subscription costs
- —AI suggestions can sometimes be inaccurate
- —Learning curve for optimal prompt usage
AI code generation from natural languageIntelligent code completion and autocompleteMulti-file editing with context awarenessBuilt-in terminal and debugging toolsChat interface for code explanationsVS Code extensions compatibility
Free · free tier
Try Ollama ▸$20/mo · free tier
Try Cursor ▸Verdict
Cursor takes it — 8.6 to 8.5 (a photo finish).
The panel gave Cursor the edge on 2 of 4 agents. It's close enough that Ollama is a fair pick if it fits your workflow better.