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 ifโ€ฆ
  • โ†’your 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.
  • โ†’you need: agents, productivity
Try Ollama โ†’
Pick Cody ifโ€ฆ
  • โ†’your 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.
Try Cody โ†’

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 โœ“ Yes โœ“ Yes
Use cases development agents productivity development
Date added 2026-08-02 2026-05-01

Pros and cons

๐Ÿฆ™

Ollama

Coding ยท freemium

Pros

  • โœ“Local inference costs nothing per token and keeps prompts and files on the machine
  • โœ“Works offline, which Ollama calls out specifically for mission-critical work
  • โœ“Acts as the runtime under other agents, including ones named on its own front page, so it slots into existing stacks
  • โœ“Cloud fallback covers models too large for a laptop without switching to a different tool or vendor
  • โœ“States that prompt and response data is never logged or trained on, with zero data retention on the Team plan

Cons

  • ร—Cloud allowances are published only as multipliers ("50x more than Free", "5x more than Pro") against a base quantity Ollama never states
  • ร—The $100 Max tier is currently listed as paused for new sign-ups, so the top individual plan may not be available
  • ร—Local model quality is capped by your RAM and GPU, and open weights still trail frontier hosted models on the hardest tasks
  • ร—Comfort with a terminal, model files and quantisation choices is assumed, which puts it out of reach for non-technical users
Cody logo

Cody

Coding ยท freemium

Pros

  • โœ“Codebase context understands your full repo, not just the open file
  • โœ“Multi-model support lets you pick the right LLM for each task
  • โœ“Works as a VS Code and JetBrains extension โ€” no need to switch editors
  • โœ“Enterprise tier integrates with Sourcegraph code search across multiple repositories

Cons

  • ร—Context engine is most capable on Enterprise tier โ€” free users get limited repo-wide context
  • ร—Lacks the autonomous agent and multi-file editing capabilities of Cursor or Windsurf
  • ร—Autocomplete quality lags behind GitHub Copilot and Cursor in head-to-head comparisons
  • ร—Sourcegraph integration adds complexity to enterprise setup and onboarding
Comparison explorer Add a third tool to this matchup Opens the interactive explorer with Ollama and Cody already in place. Slot in up to two more tools from the full index, filter by category or price, and read every plan, feature, pro and con in one table. โ†’

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Updated 2026-08-02. Spec data sourced from official product pages and tracked in our public directory at /tools.