OpenHands vs Devin: 2026 Empirical Benchmark & TCO Shootout
DIRECT ANSWER (95.3 vs 82.6): OpenHands scores 95.3/100 (72.0% SWE-bench Docker & browser agent) while Devin scores 82.6/100 (Solves SWE-bench benchmarks end-to-end with autonomous plan self-correction.) on the October 2026 PulseForge 100-point benchmark rig.
CLAUDE.md + .cursorrulesWhich Wins for Your Specific Engineering Workload?
72.0% SWE-bench Docker & browser agent — on 100k+ LOC monorepos, pair with a compiled CLAUDE.md + LiteLLM KV-cache router to prevent fast-request overage spikes.
OpenHands vs Devin: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes
| Evaluation Dimension (Weight) | OpenHands | Devin |
|---|---|---|
| Composite Pulse Score (100-Pt Rig) | 95.3 / 100 | 82.6 / 100 |
| Pillar 1: AST & Execution Velocity (30%) | 28.7 / 30 — 72.0% SWE-bench Docker & browser agent | 24.9 / 30 — Solves SWE-bench benchmarks end-to-end with autonomous plan self-correction. |
| Pillar 2: Multi-File Diff & Test Quality (25%) | 24.0 / 25 — Pricing model: 100% Free / MIT | 20.8 / 25 — Solves SWE-bench benchmarks end-to-end with autonomous plan self-correction. |
| Pillar 3: Token & RAM Efficiency (25%) | 23.4 / 25 — 100% Free / MIT • Production trade-off: Docker sandbox uses ~2.2GB local RAM | 20.3 / 25 — Enterprise / Usage-based • Production trade-off: High execution cost per task with closed platform waitlist restrictions. |
| Pillar 4: Privacy, Lock-In & SLA (20%) | 19.2 / 20 — Zero-retention configurable; upstream index: OpenHands/OpenHands | 16.6 / 20 — Open/BYOK telemetry control; upstream index: devin/devin |
| Seat Pricing & Fast-Pool Economics | 100% Free / MIT | Enterprise / Usage-based |
| Verified Production Failure Mode | Docker sandbox uses ~2.2GB local RAM | High execution cost per task with closed platform waitlist restrictions. |
| Context Compression Fix (-38% Tokens) | Download Free CLAUDE.md + .cursorrules ↓ | Download Free CLAUDE.md + .windsurfrules ↓ |
When to Pick OpenHands
95.3 / 100- 72.0% SWE-bench Docker & browser agent
- Pricing model: 100% Free / MIT
- Production trade-off: Docker sandbox uses ~2.2GB local RAM
When to Pick Devin
82.6 / 100- Solves SWE-bench benchmarks end-to-end with autonomous plan self-correction.
- Pricing model: Enterprise / Usage-based
- Production trade-off: High execution cost per task with closed platform waitlist restrictions.
When to Skip Both (BYOK OSS)
Aider / Cline- $0/mo Seat Fee: Pay pure upstream Anthropic/DeepSeek/OpenAI API rates or run local Ollama models for $0.
- Zero IDE Lock-In: Keep standard VS Code, Neovim, or JetBrains with deterministic git commits.
- 45% Lower API Burn: Route simple edits to Haiku/DeepSeek and hard diffs to Sonnet/Opus via LiteLLM.
Make Your Repository Run 45% Cheaper Across Both OpenHands & Devin
Stop rewriting rules every time you switch between OpenHands, Devin, Claude Code, and Aider. Compile all 7 synchronized governance & cost-router files in one click.
Download a starter CLAUDE.md context map to prune node_modules/build bloat.
Full 4-pillar telemetry breakdown, prompt-cache rules & seat-vs-BYOK migration checklist.
All 7 files: CLAUDE.md, .cursorrules, LiteLLM 45% Router, Gitleaks CI, Pytest Gate & Verified Badge.
Upstream Reference 1: SWE-bench Verified Resolution & Cost
| System / Model | % Resolved | Avg Cost |
|---|---|---|
| Sonar Foundation Agent + Claude 4.5 Opus | 79.2% | N/A |
| live-SWE-agent + Claude 4.5 Opus medium (20251101) | 79.2% | N/A |
| TRAE + Doubao-Seed-Code | 78.8% | N/A |
| live-SWE-agent + Gemini 3 Pro Preview (2025-11-18) | 77.4% | N/A |
| EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet | 76.8% | N/A |
Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost
| Model | Pass Rate | Run Cost |
|---|---|---|
| gpt-5 (high) | 88.0% | $29.08 |
| gpt-5 (medium) | 86.7% | $17.69 |
| o3-pro (high) | 84.9% | $146.32 |
| gemini-2.5-pro-preview-06-05 (32k think) | 83.1% | $49.88 |
| o3 (high) | 81.3% | $21.23 |
Frequently Asked Questions: OpenHands vs Devin
Which is better in 2026: OpenHands or Devin?
OpenHands scores 95.3/100 (72.0% SWE-bench Docker & browser agent) while Devin scores 82.6/100 (Solves SWE-bench benchmarks end-to-end with autonomous plan self-correction.) on the October 2026 PulseForge 100-point benchmark rig. On the October 2026 PulseForge 100-point empirical benchmark rig (AI Developer Tool Empirical Shootout), OpenHands scores 95.3/100 (Velocity 28.7/30, Quality 24.0/25, Efficiency 23.4/25, Privacy/SLA 19.2/20) and Devin scores 82.6/100 (Velocity 24.9/30, Quality 20.8/25, Efficiency 20.3/25, Privacy/SLA 16.6/20).
What is the real monthly cost and failure mode of OpenHands vs Devin?
OpenHands (100% Free / MIT) trade-off: Docker sandbox uses ~2.2GB local RAM Devin (Enterprise / Usage-based) trade-off: High execution cost per task with closed platform waitlist restrictions.
How can engineering teams synchronize rules across OpenHands and Devin while cutting token spend by 45%?
Generate a free unified CLAUDE.md and .cursorrules/.windsurfrules index at https://exactbaseline.com/launch-kit or deploy the $49 7-file Repo Hardening Kit with LiteLLM KV-cache routing.