Head to head
Qodo vs Continue
Both platforms are scored with the same methodology and the same category rubric. Nothing on this page is influenced by advertising.
26/100Higher score | 22/100 | |
|---|---|---|
| Category rank | #9 | #10 |
| Confidence | Medium confidence | Medium confidence |
| External Reputation | — | — |
| AI Authority | 11 | 19 |
| Web Authority | 25 | 14 |
| Expert Assessment | 53 | 36 |
| TOP10 User Score | — | — |
| Pricing | Not published — third-party sources conflict irreconcilably ($19/mo, $30/user/mo, $38/user/mo monthly vs $30 annual) · free tier: Unverified — one source reports a free tier with 250 LLM credits/month and 30 org-wide PR reviews/month, while two others state there is no permanently free plan, only a 14-day trial | Not published · free tier: Free trial of the Models Add-On allowing 50 chat requests and 2,000 autocomplete requests |
| Pricing model | Credit-based (sources conflict; seat-based pricing also reported) | Subscription (tiers named, no figures published; billing now disabled) |
| Best for | Engineering teams on GitHub, GitLab, Bitbucket or Azure DevOps that want automated test coverage plus AI PR review from a single vendor and can absorb a meaningful share of false-positive review comments. | Only an engineering organisation with the capacity to fork and maintain an Apache 2.0 codebase in-house; there is no viable commercial purchase. |
| Avoid if | You primarily want fast, low-noise inline completion, need deterministic lint/style enforcement or bundled SAST/secrets/IaC scanning, or have unpredictable PR volume and prefer flat per-seat billing. | You need a supported AI coding assistant in 2026 — there is no vendor support, no maintenance and no billing relationship. |
| Markets | SMB, Mid-Market, Enterprise, Engineering teams | Individual developers, SMB, Enterprise, Regulated and privacy-sensitive organisations |
| Founded | 2022 | — |
| Headquarters | Tel Aviv, Israel | — |
A higher TOP SCORE means more of the evidence favours that platform on this methodology — it is not a recommendation, and it does not account for your specific requirements. Advertisers are never declared the winner of a comparison.