AI Tool Comparison
Comparing as AI Code Generation & AutocompleteDevin vs Groq
Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.
Devin
VS
Groq
Verdict by Category
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Detailed Comparison
Feature
Devin
Groq
Pricing
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.
FreemiumGroqCloud uses pay-as-you-go pricing per million tokens with no seat license or minimum spend. Rates range from roughly $0.05 input / $0.08 output for Llama 3.1 8B Instant up to about $1.00 input / $3.00 output for Kimi K2, with the flagship Llama 3.3 70B Versatile priced at $0.59 input / $0.79 output and GPT-OSS 120B at $0.15 input / $0.60 output. Whisper v3 Turbo transcription is priced at $0.04 per hour of audio. A free tier is available to all registered users with no credit card required, offering access to every model at 30 requests per minute. The Batch API and prompt caching each cut rates by roughly 50%, and can be combined for an effective rate of about 25% of on-demand pricing on eligible workloads. Enterprise pricing, including GroqAssured governance features and dedicated GroqMetal infrastructure, is available by contacting Groq's sales team.
Categories
AI Coding Assistants
AI Developer APIs & PlatformsAI Coding Assistants
Summary
Autonomous AI software engineer that plans, codes, and ships end-to-end
The fastest inference cloud for open-source LLMs, powered by custom LPU chips
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
Groq Pros & Cons
Pros
- Consistently ranks among the fastest LLM inference providers thanks to purpose-built LPU hardware
- OpenAI-compatible API makes migration from existing integrations fast
- Generous free tier with no credit card required and access to every hosted model
- Batch API and prompt caching can stack to roughly 25% of on-demand pricing
- Proven at scale with 3M+ developers and demanding real-time customers like McLaren F1
Cons
- Only hosts open-source models (Llama, Mixtral, Gemma, Qwen, DeepSeek distills), so there's no access to proprietary models like GPT or Claude through the platform
- The December 2025 NVIDIA licensing deal and departure of founder Jonathan Ross as CEO introduce some uncertainty about the platform's long-term technical direction
- No self-serve fine-tuning; customization requires contacting Groq's sales team or submitting an Enterprise request
- Free tier is limited by requests-per-minute (30 RPM) rather than a generous token allowance, which can bottleneck bursty workloads
- Full pricing isn't published for every capability, and Enterprise/GroqAssured governance features require a custom conversation