Qodo pricing in 2026: free, Teams, and Enterprise tiers.

The published tiers

The Qodo pricing page (qodo.ai/pricing) lists three tiers: Free, Teams, and Enterprise. The free tier includes the core test-generation capability with limits on volume and feature scope; Teams includes per-user pricing with CI integration, organisation-level controls, and standard support; Enterprise includes single-sign-on, self-hosted deployment options, custom contracts, and dedicated support.

The exact per-user rates and feature inclusions sit on the vendor page and have changed several times since the brand transition from Codium. Buyers should read the live page rather than rely on a third-party summary; this site does not publish a current per-user rate because it changes faster than this page can be re-verified.

What is generated

Qodo Cover produces framework-native unit tests in the source language (Jest for JavaScript and TypeScript, pytest for Python, JUnit for Java, NUnit for C#, and others). The tests slot into the existing test runner; no special infrastructure is required to run them. The model uses LLM completion against source code with context (existing tests, type signatures, related code) to produce tests that reflect inferred developer intent.

The artefact is the customer's code, in the customer's repository, in the framework the team already uses. This is the structural difference from a managed-service or a platform-bound vendor: there is no lock-in to a proprietary test format. The cost of switching tools is mostly the IDE workflow change rather than a test-artefact migration.

Cost variables

Active engineer count. The Teams tier scales per active user. A team with 20 engineers pays differently from a team with 200, with volume discounts at higher counts.

CI usage volume. The CLI runs in CI on every pull request (or nightly, or per merge), consuming model tokens through the vendor's managed runtime. High-volume CI usage on the Teams tier may push the team toward Enterprise tier where the runtime economics are negotiated.

Self-hosted requirement. Air-gapped deployment or strict code-residency requirements move the conversation to Enterprise where self-hosted and dedicated cloud options are available.

Compliance tier. Single-sign-on, audit logs, and similar enterprise controls are Enterprise-tier features. Buyers with these requirements should expect Enterprise pricing rather than scaling Teams up.

Hidden costs

Developer review time. Even with good test generation, the developer who owns the code under test must review the generated tests before merge. The review is fast (often a minute or two per test) but it is not free; for a team generating hundreds of tests per week, the review time compounds.

Onboarding. Adopting an AI test-generation tool takes 2 to 4 weeks of cultural adoption: developers learning the prompts, the team agreeing on review conventions, the CI integration being tuned. This is real engineering time that is not on the Qodo invoice.

Model freshness. LLM-driven tools see meaningful capability changes as underlying models update. A team locked into a contract that does not include model upgrades may pay for a less capable product six months later. Confirm the model-update policy as part of procurement.

How Qodo compares

The most common comparison is Qodo against Diffblue Cover. The structural difference is technique (LLM completion vs RL search) and scope (polyglot vs JVM-only). For a polyglot codebase, Qodo is the obvious fit because Diffblue is out of scope. For a JVM-only codebase, both are in scope and the choice depends on the technique trade-off; see Diffblue vs Qodo Cover for the head-to-head.

Qodo also competes with GitHub Copilot for test generation. Copilot is per-user, IDE-integrated, and well-known; Qodo is specifically focused on test generation as a primary use case and produces a deeper artefact. Teams that already pay for Copilot for general code completion sometimes find that Copilot's test-generation capability is adequate and Qodo's incremental value does not justify the per-user delta. The honest test is a side-by-side pilot on the team's real modules.

Procurement framing

The free tier removes a meaningful adoption barrier compared with contact-sales-only vendors. A team can pilot Qodo without procurement involvement, validate the workflow on real code, and then make a defensible case for the Teams or Enterprise tier. This is structurally easier than the all-or-nothing enterprise contracts that Diffblue and similar vendors require.

For teams ready to procure: walk into the conversation with active engineer count, CI usage estimate, compliance posture, and the alternatives being evaluated. The Enterprise tier rates respond to competitive context like any other enterprise tool.

Frequently asked questions

Is Qodo the same as Codium?

Qodo is the current brand. The product was previously named Codium and the IDE plugin still carries some legacy naming. The vendor consolidated the brand under Qodo and the pricing page is now at qodo.ai/pricing.

Does Qodo work in CI?

Yes. The Teams and Enterprise tiers include CI integration via the qodo-cover CLI; tests can be generated and updated as part of a pull-request workflow. The IDE delivery is the more visible surface but the CLI is the workflow that scales across the team.

Does the free tier produce useful tests?

Per the vendor, the free tier includes test generation capability with limits on volume and feature scope. The tests it produces are framework-native (Jest, pytest, JUnit, NUnit) and slot into the existing test runner; the free tier is suitable for individual developer evaluation but the limits make it impractical for team-wide adoption.

Self-hosted available?

Enterprise tier includes self-hosted and dedicated deployment options. The default is cloud SaaS. Buyers with code residency requirements should request the architecture detail in the procurement conversation.

Can I switch between Qodo and Diffblue mid-year?

Technically yes; the artefacts are framework-native tests that live in the customer's codebase. The friction is operational (different IDE workflows, different developer habits, different test-quality profiles) rather than contractual. Most teams that pilot both commit to one for at least a year before re-evaluating.