OpenCode vs Tempo
A data-grounded look at how these two coding & development tools stack up — to help you pick the right coding & development tool in 2026.
Quick verdict
There's barely a point between OpenCode and Tempo on our Editor Score. Pick OpenCode if you want terminal-native AI coding agent; choose Tempo for design canvases that are code in your repository, built from real components and tokens. On pricing, both ship a free or freemium tier, so you can try each before paying.
OpenCode vs Tempo at a Glance
| Pricing | Freemium | Freemium |
| Free tier | ||
| Best for | terminal-native AI coding agent | design canvases that are code in your repository, built from real components and tokens |
OpenCode
OpenCode is an open source AI coding agent built for the terminal, with desktop and IDE clients alongside. It connects to 75+ model providers, configures language servers automatically, runs parallel agent sessions, keeps conversations locally in SQLite, and is built by the team behind SST.
- MIT licensing means genuine auditability, self-hosting and no exposure to vendor pricing changes
- Local model support is the only acceptable configuration for some regulated environments
- Local SQLite storage makes retention architecturally impossible rather than merely promised
- 75+ providers means switching models is a setting rather than a workflow migration
- A tool supporting every provider is optimised for none of them specifically
- No inline diffs or visual review flow to match an editor-first tool
- Configuration flexibility is configuration work
Tempo
Tempo is a desktop IDE built for whole product teams rather than developers alone. Design canvases are code in your repository, specs and prototypes run on your real components, and four named agents handle triage, specs and designs, bug fixes and feature builds.
- Canvas-as-code removes the design-to-implementation translation entirely
- Constrained components make impossible designs impossible rather than expensive
- Design changes go through ordinary review, CI and history
- Four agents scoped to distinct stages rather than one assistant with four labels
- Asking three roles to change tools at once is an organisational change, not a purchase
- Constrained canvases are the wrong place for exploratory design work
- Requires a design system that is genuinely real and consistently used
Which Should You Choose?
Choose OpenCode if…
- you want terminal-native AI coding agent
- a free or freemium plan is important
Choose Tempo if…
- you want design canvases that are code in your repository, built from real components and tokens
- a free or freemium plan is important
OpenCode vs Tempo: The Verdict
It comes down to fit, not a single winner: OpenCode leans into terminal-native AI coding agent, while Tempo is built for design canvases that are code in your repository, built from real components and tokens. Weigh features and pricing for your workflow. Both have a free or freemium tier, so spin up each and keep the one that clicks.
Frequently Asked Questions
Is OpenCode better than Tempo?
Neither is universally better — it depends on your budget and which features matter most. The side-by-side breakdown above shows where each one wins.
What is the difference between OpenCode and Tempo?
OpenCode (freemium) is best for terminal-native AI coding agent, while Tempo (freemium) is best for design canvases that are code in your repository, built from real components and tokens. See the full feature and pricing comparison above.
Is OpenCode or Tempo cheaper?
Both have paid plans — pricing depends on your usage tier. Open each tool's review for current prices, and watch for free trials.
Which is better for beginners, OpenCode or Tempo?
OpenCode is usually the easier starting point thanks to a lower barrier to entry. Beginners should favour a free tier and a simple interface over raw power.
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About the Authors
AI Tools Comparison Analyst
Olivia runs side-by-side comparisons and benchmarks, digging into pricing, features, and real-world performance so readers can choose between competing AI tools with confidence.
Senior AI Tools Reviewer
Daniel reviews AI tools the slow way — by actually using them on real projects. His reviews cover what works, what breaks, and who each tool is genuinely a good fit for.
Keep exploring
Last updated October 2026. Comparisons are ranked by our Editor Score (features, value and pricing, blended with verified user reviews where a tool has them) — see our methodology.