AI Tool Comparison
Comparing as AI Pair Programming & Terminal AgentsJetBrains AI Assistant vs Devin
Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.
JetBrains AI Assistant
VS
Devin
Verdict by Category
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Detailed Comparison
Feature
JetBrains AI Assistant
Devin
Pricing
FreemiumJetBrains AI offers four tiers. AI Free is $0/month with 3 AI credits every 30 days, unlimited code completion via JetBrains' Mellum model, and local model support via Ollama or LM Studio, but excludes frontier models and Junie for sustained agentic work. AI Pro is $10/month (Individual) or $20/month (Business), with 10 AI credits per month. AI Ultimate is $30/month (Individual) or $60/month (Business), with 35 AI credits per month, including a $5 bonus over the plan price. AI Enterprise is custom-priced at roughly $60/user/month billed annually, adding organization-wide credit pooling and enterprise controls. Each AI Credit equals $1 USD, and unused top-up credits (purchased separately at $1 each) remain valid for 12 months, while unused monthly plan credits do not roll over. A 30-day AI Pro trial is available for new users. AI Pro is also bundled into JetBrains' All Products Pack and dotUltimate subscriptions.
FreemiumDevin's Free plan costs $0/month with a light quota to code with agents, limited model availability, and unlimited inline edits and Tab completions. Pro costs $20/month and adds increased quotas, access to OpenAI, Claude, and Gemini frontier models, free use of SWE 1.7 and leading open-source models, Devin Cloud access, and the ability to purchase extra usage at API pricing. Max costs $200/month with everything in Pro plus significantly higher usage quotas for power users. Teams costs $80/month as a base team fee plus $40/month per full developer seat, and includes unlimited team members via flex seats, sharing and collaboration, centralized billing, an admin dashboard with analytics, and priority support. Enterprise is custom-priced ("let's talk") and adds highest-priority support, dedicated account management, SAML/OIDC SSO, centralized enterprise admin controls, and dedicated VPC deployment options. Usage allowances refresh daily and weekly, and extra usage beyond included quotas is billed at API pricing.
Categories
AI Coding Assistants
AI Coding Assistants
Summary
AI coding assistance built natively into every JetBrains IDE
Autonomous AI software engineer that plans, codes, and ships end-to-end
JetBrains AI Assistant Pros & Cons
Pros
- Deep semantic project understanding via IntelliJ's existing static-analysis engine, not just open-file context
- Junie autonomous agent handles multi-file planning, implementation, and self-correction, including a dedicated Debug mode
- Works across a single subscription spanning 20+ JetBrains IDEs
- Supports local models via Ollama and LM Studio at zero credit cost
- Strong enterprise trust features including zero-data-retention policies and .aiignore support
Cons
- Locked into the JetBrains IDE ecosystem, so it offers no value for developers using VS Code or other editors
- Credit-based quota system can be confusing, and heavy Junie or Claude Agent use can exhaust monthly credits well before the billing period ends
- AI Pro's 10 monthly credits are reportedly consumed within about a week under heavy agentic use, pushing users toward costly top-ups ($1 per credit)
- Best suited to JVM languages (Java, Kotlin); completion quality is reportedly less consistent for other languages
- AI Free tier excludes frontier models and the Junie agent, limiting it mostly to a demo of completion features
Devin Pros & Cons
Pros
- Handles full engineering workflows end-to-end, not just inline suggestions
- Fleet-based parallel agents can tackle large-scale migrations across many repos
- Deep integrations with GitHub, Linear, Jira, Slack, and Teams for real dev workflows
- Free tier available to try core agent capabilities with no cost
- Documented enterprise results, including major efficiency and cost gains at Nubank
- VPC deployment and SSO support enterprise security requirements
Cons
- Early benchmark and demo claims were criticized as overstated, so results should be evaluated against a team's own workflows
- Best suited to well-scoped, reviewable tasks rather than fully unsupervised production work
- Usage-based cost can climb quickly for teams running many parallel sessions
- Full model availability and cloud agents require the $20/month Pro plan or higher
- Quality of output still requires human review, especially on complex or ambiguous tasks