Bench test · AI Coding
Ollama vs Continue
Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.
| Ollama | Continue | |
|---|---|---|
| consensus | score8.7/10 | score8.6/10 |
| agents won | 1 / 4 ▲ | 0 / 4 |
| from | Custom | Custom |
| free tier | no | no |
| category | AI Coding | AI Coding |
Agent panel — head to head
| Anthropic | 8.2 | 8.2 |
| OpenAI | 8.5 | 8.5 |
| Gemini | 9.5 ▲ | 9.0 |
| Grok | 8.5 | 8.5 |
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
Continue
- ✓Open-source and privacy-focused
- ✓Works offline with local models
- ✓Flexible integration with multiple AI providers
- —Requires manual setup and configuration
- —Performance depends on selected model quality
- —Smaller community compared to GitHub Copilot
AI code completion and generationSupport for multiple LLM providersLocal and cloud model optionsCode refactoring and documentationChat-based code assistanceCustomizable prompts and workflows
Custom · no free tier
Try Ollama ▸Custom · no free tier
Try Continue ▸Verdict
Ollama takes it — 8.7 to 8.6 (a photo finish).
The panel gave Ollama the edge on 1 of 4 agents. It's close enough that Continue is a fair pick if it fits your workflow better.