How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; Salesforce Agentforce (formerly Einstein) has +2.2%.

How does pricing compare?

Devin: Paid. Paid, enterprise-oriented. Devin is sold on a per-seat subscription with tiered plans (including higher-capacity tiers for heavier autonomous use) plus usage allowances; Cognition also runs credit programs and enterprise agreements. Because plans and credit packages change, check Cognition's official pricing page for current numbers. Salesforce Agentforce (formerly Einstein): Freemium. Existing Enterprise+ customers can start free via Salesforce Foundations ($0); usage-based options include Flex Credits at $500 per 100,000 credits ($0.10 per standard action, $0.15 per voice action), $2 per customer conversation, or $2 per Help Agent resolution, while unmetered employee seat add-ons cost $125–$150/user/month and Max (Agentforce 1) Editions start at $550/user/month.

What are alternatives to Devin and Salesforce Agentforce (formerly Einstein)?

Other tools in related categories include Cursor, Manus, Google Antigravity, Replit, Qoder.

Devin vs Salesforce Agentforce (formerly Einstein) — Traffic (2.55M vs 111.91M), Pricing & Verdict

Open AI Tools

Devin vs Salesforce Agentforce (formerly Einstein) — Traffic (2.55M vs 111.91M), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Devin	Salesforce Agentforce (formerly Einstein)
Official Domain	devin.ai	salesforce.com
Pricing Model	Paid	Freemium
Monthly Visits	2.55M (2,549,346)	111.91M (111,910,743)
MoM Traffic Delta	+25.38K (+1%)	+2.4M (+2.2%)
Primary Market & Share	🇺🇸 United States (28.1%)	🇺🇸 United States (43%)
Direct Visits / mo	1.39M	60.74M
User Rating	4.3	4.4
Supported Platforms	website	Website

Devin

Cognition's autonomous software engineer that ships real pull requests

End-to-end autonomous coding

Devin plans, writes code, runs tests, and opens pull requests across complex, multi-repository codebases without waiting for line-by-line approval.

Its own virtual machines

Devin provisions Windows, Mac, and Linux VMs, builds and runs the project, and tests in a real browser - even recording itself using the feature it built.

Slack, Teams, and alert integration

Mention @Devin in a thread to delegate a fix, or connect CI, PagerDuty, and issue trackers so it reacts to failures and alerts automatically.

Parallel cloud agents

Delegate a large task and Devin splits it across parallel cloud agents that keep working after you close your laptop, then reports back.

Strengths & Pros

+Handles ticket-level autonomous work rather than only suggesting code completions
+Tests in its own browser and VMs, which catches issues that pure code generation misses
+Deep workflow integration with Slack, Teams, CI, and alerting tools
+Keeps working in parallel cloud agents even when your machine is off

Frequently Asked Questions: Devin vs Salesforce Agentforce (formerly Einstein)

Devin has 2,549,346 monthly visits, while Salesforce Agentforce (formerly Einstein) has 111,910,743. Traffic estimates describe audience size, not product quality.

More Head-to-Head Matchups

Cursor vs Devin

25.85M visits/mo

Cursor vs Salesforce Agentforce (formerly Einstein)

135.21M visits/mo

Devin vs Manus

21.75M visits/mo

Manus vs Salesforce Agentforce (formerly Einstein)

131.11M visits/mo

Devin vs Google Antigravity

18.6M visits/mo

Google Antigravity vs Salesforce Agentforce (formerly Einstein)

127.96M visits/mo

Best Alternatives to Devin & Salesforce Agentforce (formerly Einstein) (12)

Salesforce Agentforce (formerly Einstein)

Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas.

Atlas Reasoning Engine & Long-Horizon Runtime

Deconstructs complex queries into multi-step action plans grounded in Data 360, retaining state across days or weeks to complete multi-touch operational workflows with human escalation guardrails.

Low-Code Agent Builder & Agent Script

Configure custom agents, subagents, natural-language instructions, and deterministic guardrails using existing Salesforce Flows, Prompt Builder templates, Apex code, and MuleSoft APIs.

Multi-Agent Orchestration & MCP Interoperability

Coordinate specialized subagents across departments and connect securely to external enterprise tools through verified Model Context Protocol (MCP) servers from AgentExchange partners.

Agentforce Voice & Omnichannel Deployment

Replace rigid telephone IVR trees with low-latency conversational voice agents alongside unified deployments across web chat, WhatsApp, SMS, mobile apps, and Slack.

Strengths & Pros

+Deep native access to Salesforce CRM objects, Flows, Apex logic, MuleSoft integrations, and Data 360 without brittle third-party syncing.
+Flexible 2026 billing models let enterprises choose between per-action Flex Credits ($0.10/action), $2 per conversation, $2 per resolution, or unmetered per-user licenses.
+Enterprise-grade Einstein Trust Layer enforces zero data retention with external LLM providers, PII masking, and toxicity detection.
+Supports open multi-agent interoperability via Model Context Protocol (MCP) and Long-Horizon multi-day task execution.

Limitations

–Consumption pricing across Flex Credits, Data 360 credits, and seat add-ons is complex to forecast and prevents mixing Flex Credits and Conversation meters in the same org.
–Requires clean, well-structured Salesforce CRM and Data 360 governance to avoid inaccurate agent actions.
–Full enterprise capabilities carry a steep total cost of ownership, with top-tier Max / Agentforce 1 editions reaching $550 per user per month.