Devin vs Tabnine
Devin scores 7.7 to Tabnine's 7.5 among the AI coding assistants we rate, and is the better pick for 2 of the 4 kinds of buyer below.
Devin wins, 7.7 to 7.5
Devin's Pro plan costs $20 a month and includes a free plan to start; Tabnine's Code Assistant plan costs $39 a month, sold only annually with no free plan or trial. Tabnine lets you bring your own API key or run models locally through Ollama or LM Studio; Devin bills model usage itself with no local option. Tabnine also states your code is never stored, while Devin's no-copy option was only confirmed for federal and ITAR deployments.
Pick Devin if you want a free plan and cloud agents that open pull requests.
Pick Tabnine if you want to bring your own key or run models locally.
Best for
Who each one suits, decided on the criteria that matter to that buyer and the checked facts where the two differ.
- Reviews pull requests: Devin yes, Tabnine no
- Free plan: Devin yes, Tabnine no
- Monthly price, cheapest paid plan: $20 against $39
- Bring your own API key: Tabnine yes, Devin no
- Runs models on your own machine: Tabnine yes, Devin no
- But Devin leads on aI model families you can choose: Claude, gpt, gemini, deepseek, own against Claude, gpt, gemini, own
- Does not train AI on your code: Tabnine yes, Devin does not say
- SOC 2: Tabnine yes, Devin does not say
- Legal cover for generated code: Tabnine yes, Devin does not say
How they score
Both are scored the same way, against the other AI coding assistants we rate, from facts on each vendor's own pages. They split the criteria 2 each, with the rest level.
Where they differ
Every point where the two vendors' published facts disagree, with a link to where each fact was read. "Not published" means the vendor does not say either way.
Published by only one of them
Where they match (6)
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
Devin
Tabnine
Pros and cons
From each tool's full review, written from the same checked facts.
Devin
- Devin operates autonomously on complex, multi-hour tasks like codebase migrations and large refactors, not just autocomplete suggestions.
- The cloud-based environment includes a terminal, browser, and code editor, requiring no local installation for the core agent.
- Supports full multi-file and multi-repo code generation, making it suitable for enterprise-scale projects.
- Devin 2.0 introduced meaningful improvements to task completion efficiency, representing a substantial product update.
- Integrates with existing developer workflows via Jira tickets and CI pipeline triage, reducing manual overhead.
- Uses a proprietary model (SWE-1.7) supplemented by frontier models from OpenAI, Anthropic, and Google for task flexibility.
- Targets genuinely differentiated use cases like COBOL migrations and automated CI failure investigation that tools like Copilot don't address.
- Self-reported benchmarks like the claimed 83% task completion improvement are difficult to independently verify and should be treated with skepticism.
- The underlying model routing logic between SWE-1.7 and third-party models is not documented in any useful detail.
- The company was only founded in 2024, meaning long-term reliability and enterprise track record are largely unproven.
- The homepage marketing is aggressive and oversells the 'first AI software engineer' positioning without sufficient nuance.
- No hands-on independent testing was possible for this review, limiting the depth of real-world performance assessment.
- The proprietary model architecture creates vendor lock-in risk with limited transparency into how decisions are made.
Tabnine
- Tabnine's Enterprise Context Engine learns organizational architecture, naming conventions, and framework preferences across the entire team, not just individual files.
- The tool can be deployed fully air-gapped with zero data leaving your infrastructure, making it genuinely viable for regulated industries.
- Supports 30-plus programming languages including Python, JavaScript, TypeScript, Java, Go, Rust, and C++.
- Integrates with a wide range of IDEs including VS Code, JetBrains, Eclipse, and Visual Studio.
- Has been in the AI coding assistant space since 2018, giving it significantly more maturity than most current competitors.
- Code generation pulls from full project context and learns individual coding style over time, including variable naming and function structure.
- Multi-line completions are enabled and the engine adapts to how you write, not just what you write.
- Pricing is described as genuinely opaque, which creates friction for developers and teams trying to evaluate costs.
- The free plan has been removed, which significantly changes the value proposition for solo developers and indie users.
- Trustpilot scores raise concerns that are difficult to dismiss based on the review's own assessment.
- Tabnine does not position itself as the most aggressive or capable agentic workflow tool, which may disappoint developers seeking cutting-edge AI features.
- The tool's depth of features is not well communicated, meaning many users may not realize what capabilities exist beyond basic autocomplete.
- Marketing claims sometimes outpace what the product delivers in practice, based on gaps found between vendor docs and real user feedback.
Devin vs Tabnine: common questions
Which is better, Devin or Tabnine?
Devin scores 7.7 and Tabnine 7.5 out of 10 among the AI coding assistants we rate. Devin is ahead on agents and your codebase and pricing. Tabnine is ahead on model freedom and privacy and security.
Is Devin or Tabnine cheaper?
Devin's cheapest paid plan is $20/mo (Pro plan) and Tabnine's is $39/user/mo (Tabnine Code Assistant, annual subscription, quote required). Compare what each plan includes below before going on price alone.
Do Devin and Tabnine have a free plan?
Devin does and Tabnine does not.
What can Devin do that Tabnine cannot?
On the facts both vendors publish: reviews pull requests and free plan.
What can Tabnine do that Devin cannot?
On the facts both vendors publish: bring your own API key and runs models on your own machine.
