Coding ยท Head-to-head
Ollama vs Cody
Ollama (freemium, AI Score 8.8/10) vs Cody (freemium, AI Score 8.6/10). Side-by-side pricing, features, pros and cons, and which to pick.
The verdict
Pick Ollama ifโฆ
- โyour primary use case is anyone who wants open-weight models running on their own hardware for privacy, offline work or zero marginal cost, with a cloud fallback for models that will not fit.
- โyou need: agents, productivity
Pick Cody ifโฆ
- โyour primary use case is development teams who want an ai coding assistant that reasons over their entire codebase and multiple repositories, not just the open file.
Side-by-side specs
| Spec | Ollama | Cody |
|---|---|---|
| Category | Coding | Coding |
| Pricing model | freemium | freemium |
| Headline pricing | Free, with Pro at $20/mo and Team at $25/seat/mo for cloud usage | Free tier + Pro $9/mo + Enterprise custom |
| Free tier | Yes, and it is the main event. Local inference is free forever on your own hardware. The paid tiers exist to buy cloud capacity, and their allowances are published only as multipliers of an unstated base. | Autocomplete, chat, and commands with usage limits |
| AI Score | 8.8/10 | 8.6/10 |
| Best for | Anyone who wants open-weight models running on their own hardware for privacy, offline work or zero marginal cost, with a cloud fallback for models that will not fit. | Development teams who want an AI coding assistant that reasons over their entire codebase and multiple repositories, not just the open file. |
| Editor's pick | โ Yes | โ Yes |
| Use cases | development agents productivity | development |
| Date added | 2026-08-02 | 2026-05-01 |
Pros and cons
๐ฆ
Ollama
Coding ยท freemium
Pros
- โLocal inference costs nothing per token and keeps prompts and files on the machine
- โWorks offline, which Ollama calls out specifically for mission-critical work
- โActs as the runtime under other agents, including ones named on its own front page, so it slots into existing stacks
- โCloud fallback covers models too large for a laptop without switching to a different tool or vendor
- โStates that prompt and response data is never logged or trained on, with zero data retention on the Team plan
Cons
- รCloud allowances are published only as multipliers ("50x more than Free", "5x more than Pro") against a base quantity Ollama never states
- รThe $100 Max tier is currently listed as paused for new sign-ups, so the top individual plan may not be available
- รLocal model quality is capped by your RAM and GPU, and open weights still trail frontier hosted models on the hardest tasks
- รComfort with a terminal, model files and quantisation choices is assumed, which puts it out of reach for non-technical users
Cody
Coding ยท freemium
Pros
- โCodebase context understands your full repo, not just the open file
- โMulti-model support lets you pick the right LLM for each task
- โWorks as a VS Code and JetBrains extension โ no need to switch editors
- โEnterprise tier integrates with Sourcegraph code search across multiple repositories
Cons
- รContext engine is most capable on Enterprise tier โ free users get limited repo-wide context
- รLacks the autonomous agent and multi-file editing capabilities of Cursor or Windsurf
- รAutocomplete quality lags behind GitHub Copilot and Cursor in head-to-head comparisons
- รSourcegraph integration adds complexity to enterprise setup and onboarding
Related comparisons
Updated 2026-08-02. Spec data sourced from official product pages and tracked in our public directory at /tools.