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EMPIRICAL HEAD-TO-HEAD SHOOTOUT•AI Developer Tool Empirical Shootout•Updated Oct 2026

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.

1. Velocity (30)
28.7 vs 24.9
2. Quality (25)
24.0 vs 20.8
3. Efficiency (25)
23.4 vs 20.3
4. Privacy/SLA (20)
19.2 vs 16.6
OpenHands vs Devin Empirical Scorecard
OpenHands: 95.3/100Δ 12.7 PTDevin: 82.6/100
Speed & Ecosystem Winner:OpenHands (28.7/30)
Seat Cost & RAM Winner:Devin (20.3/25)
Zero-Seat BYOK Option:Aider / Cline ($0 Seat)
TESTING OPENHANDS OR DEVIN ON YOUR OWN REPOSITORY?Eliminate 38% unindexed discovery tokens across both IDEs with a unified CLAUDE.md + .cursorrules
INTERACTIVE ARCHITECTURE & COST SELECTOR

Which Wins for Your Specific Engineering Workload?

Est. Spend: ~$20–$38/dev/mo (Seat + Fast Pool)
RECOMMENDED FOR YOUR WORKLOAD: OpenHands (95.3/100)

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.

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OpenHands vs Devin: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes

Evaluation Dimension (Weight)OpenHandsDevin
Composite Pulse Score (100-Pt Rig)95.3 / 10082.6 / 100
Pillar 1: AST & Execution Velocity (30%)28.7 / 30 — 72.0% SWE-bench Docker & browser agent24.9 / 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 / MIT20.8 / 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 RAM20.3 / 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/OpenHands16.6 / 20 — Open/BYOK telemetry control; upstream index: devin/devin
Seat Pricing & Fast-Pool Economics100% Free / MITEnterprise / 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.
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$4.99 • Cross-IDE Dossier

Full 4-pillar telemetry breakdown, prompt-cache rules & seat-vs-BYOK migration checklist.

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STEP 3 • FULL 7-FILE KITONE-TIME
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Upstream Reference 1: SWE-bench Verified Resolution & Cost

System / Model% ResolvedAvg Cost
Sonar Foundation Agent + Claude 4.5 Opus79.2%N/A
live-SWE-agent + Claude 4.5 Opus medium (20251101)79.2%N/A
TRAE + Doubao-Seed-Code78.8%N/A
live-SWE-agent + Gemini 3 Pro Preview (2025-11-18)77.4%N/A
EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet76.8%N/A

Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost

ModelPass RateRun 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.

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Cross-IDE Repo KitFree CLAUDE.md • $4.99 • $49