Devin vs Claude Code vs Codex CLI: Full Cost Comparison 2026

The Rise of Autonomous AI Coding Agents

By 2026, the AI coding landscape has shifted from simple autocomplete to fully autonomous agents that can plan, execute, and iterate on complex tasks without constant supervision. Three players dominate this space:

• Devin — The original AI software engineer. A cloud-based autonomous agent that plans multi-step tasks, writes code, runs commands, and deploys applications. Subscription-based with included compute.
• Claude Code — Anthropic's CLI agent that runs locally in your terminal. Reads your codebase, modifies files, runs tests, and iterates autonomously. Pay only for API tokens consumed.
• Codex CLI — OpenAI's official command-line agent. Similar to Claude Code but powered by OpenAI's models. No subscription — API costs only.

This isn't just a feature comparison. We're breaking down the real costs of each tool across small, medium, and enterprise projects — including the hidden token costs that most comparisons ignore.

Pricing Models: How Each Tool Charges

The three agents use fundamentally different pricing strategies:

Devin: Premium Subscription

Devin operates on a flat-rate subscription model. As of 2026:

• Devin Pro: $500/month — includes 25 hours of autonomous work, shared sandbox environment
• Devin Team: $2,500/month — unlimited hours, dedicated sandbox, team collaboration features
• Devin Enterprise: Custom pricing — on-premise deployment, SLA guarantees

Devin's pricing includes model costs (it uses a mix of Claude and proprietary models), compute resources, and storage. No separate API billing.

Claude Code: Pay-Per-Token

Claude Code has no subscription fee. You install it free and pay only for the API tokens it consumes:

• Claude Sonnet 4.6: $3.00 input / $15.00 output per million tokens
• Claude Opus 4.7: $5.00 input / $25.00 output per million tokens
• Claude Haiku 4.5: $1.00 input / $5.00 output per million tokens

See our budget LLM guide for cost-saving model alternatives.

Codex CLI: Also Pay-Per-Token

Codex CLI follows the same model as Claude Code — free installation, pay only for API usage:

• GPT-4.1: $2.00 input / $8.00 output per million tokens
• GPT-4.1 mini: $0.40 input / $1.60 output per million tokens
• GPT-o3: $2.00 input / $8.00 output per million tokens
• GPT-o3 mini: $1.10 input / $4.40 output per million tokens

For a detailed breakdown of OpenAI's model lineup, see our token cost guide.

Token Consumption Patterns

Autonomous agents consume tokens differently than chat-based tools. Each action — reading a file, running a command, checking an error — adds to the conversation history. Context grows logarithmically as the agent iterates.

Based on real-world usage patterns:

• Small project: 1–5M input tokens, 50–200K output tokens
• Medium project: 20–50M input tokens, 300–800K output tokens
• Enterprise project: 100–300M+ input tokens, 1–3M output tokens

Input tokens dominate because the agent re-reads conversation history and relevant code files on every turn. This is why prompt caching can reduce costs by up to 90%.

Cost Comparison: Small Project

Scenario: A simple CRUD app (~500 lines), no complex integrations. Estimated agent turns: 25–50.

For small projects, CLI-based agents are dramatically cheaper. Claude Code with Haiku costs ~$3, while Devin's $500/month subscription is hard to justify unless you're using it daily. Codex CLI with GPT-4.1 mini is the budget winner at ~$1.

Cost Comparison: Medium Project

Scenario: A feature-complete app (~5,000 lines) with auth, database, and API integrations. Estimated agent turns: 200–400.

At medium scale, the pay-per-token model still wins. Codex CLI with GPT-4.1 mini is the cheapest at ~$12, while Claude Code with Haiku is ~$28. Devin's $500 subscription only makes sense if you're running 10+ medium projects per month.

For reference, see our analysis in Cursor vs Claude Code vs Copilot for how token consumption scales with project complexity.

Cost Comparison: Enterprise Project

Scenario: Production-grade microservices (~26,000 lines) with real-time features, payments, monitoring, and CI/CD. Estimated agent turns: 800–1,500.

At enterprise scale, Codex CLI with GPT-4.1 is the cheapest at ~$269, followed by Claude Code with Sonnet at ~$360. Devin Team at $2,500/month only makes sense for teams running 5+ enterprise projects monthly or those who need Devin's specialized features (autonomous deployment, integrated testing environments).

The Break-Even Analysis

When does Devin's subscription become cost-effective? Let's calculate:

• Devin Pro ($500/mo): Breaks even if you run ~6 medium projects/month with Claude Code Sonnet, or ~20 small projects.
• Devin Team ($2,500/mo): Breaks even if you run ~7 enterprise projects/month with Claude Code Opus, or ~30 medium projects.

For most individual developers and small teams, pay-per-token CLI agents are more economical. Devin's value proposition is not cost — it's the integrated workflow, autonomous deployment capabilities, and team collaboration features.

Beyond Cost: Capability Comparison

Price isn't everything. Each agent has different strengths:

Devin

• Strengths: Fully autonomous end-to-end workflow, built-in deployment, integrated testing environments, team collaboration features, no local setup required.
• Weaknesses: Most expensive option, cloud-only (no local execution), less control over model selection.
• Best for: Teams that need hands-off autonomous development, non-technical founders who want AI to build complete apps.

Claude Code

• Strengths: Deep codebase understanding, excellent at complex multi-file refactors, model flexibility (can switch between Haiku/Sonnet/Opus), local execution.
• Weaknesses: CLI-only (no GUI), requires local setup, token costs can add up quickly.
• Best for: Developers who want maximum autonomy with model flexibility, teams already using Anthropic's ecosystem.

Codex CLI

• Strengths: Lowest cost at scale, OpenAI model ecosystem, local execution, simple pricing.
• Weaknesses: Newer tool (less mature than Claude Code), CLI-only, fewer advanced features.
• Best for: Cost-conscious developers, teams already using OpenAI APIs, those who prefer GPT models.

Cost Optimization Tips

Whichever agent you choose, these strategies reduce costs:

1. Use prompt caching: As we covered in this guide, caching can reduce costs by up to 90% for repetitive tasks.
2. Choose models by task: Use Haiku/GPT-4.1 mini for simple tasks, Sonnet/GPT-4.1 for complex logic, Opus/o3 only when necessary.
3. Limit context scope: Agents that read your entire codebase every turn burn tokens. Scope the context to relevant files only.
4. Batch small tasks: Instead of 10 small agent runs, combine related tasks into one session to avoid re-reading context.

Final Recommendation

Here's the decision framework:

• Solo developer on a budget: Codex CLI with GPT-4.1 mini (~$1–12 per project)
• Freelancer doing client work: Claude Code with Haiku or Sonnet (best balance of cost and capability)
• Startup team: Mix of Claude Code (complex tasks) + Codex CLI (simple tasks) — ~$50–200/month total
• Enterprise with high volume: Devin Team if running 5+ enterprise projects/month, otherwise CLI agents
• Non-technical founder: Devin Pro — the premium is worth it for hands-off autonomous development

Want to calculate exact costs for your workflow? Use our AI Cost Estimator to model token consumption across all three agents and 50+ LLM models.