Independently agent-testedAnthropic · OpenAI · Gemini · Grok
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Bench test · AI Coding

LLaMA Code vs Devin

Same rack, same rubric, four independent agents. Here's how they measure up — and which we'd pick.

LLaMA CodeDevin
consensus
score7.7/10
score7.6/10
agents won1 / 43 / 4
fromCustomCustom
free tiernono
categoryAI CodingAI Coding

Agent panel — head to head

Anthropic7.27.8
OpenAI8.28.5
Gemini9.07.2
Grok6.57.0

LLaMA Code

  • No licensing fees or usage costs
  • Can be self-hosted and modified
  • Respects privacy with local deployment
  • Requires significant computational resources
  • May produce less accurate results than proprietary models
  • Needs technical expertise to set up and optimize
Multi-language code generationCode completion and suggestionsOpen-source and freely availableCustomizable and fine-tunableRuns locally without cloud dependencyContext-aware programming assistance

Devin

  • Significantly accelerates development cycles
  • Reduces manual coding time and human errors
  • Handles repetitive and boilerplate code generation
  • May struggle with highly complex or novel problem domains
  • Requires oversight to ensure code quality and security
  • Limited understanding of specific business logic nuances
Autonomous code writing and executionReal-time debugging and error fixingProject planning and task breakdownIntegration with development tools and repositoriesCollaborative pair programming with humansApplication deployment capabilities

Custom · no free tier

Try LLaMA Code

Custom · no free tier

Try Devin

Verdict

LLaMA Code takes it — 7.7 to 7.6 (a photo finish).

The panel gave LLaMA Code the edge on 1 of 4 agents. It's close enough that Devin is a fair pick if it fits your workflow better.