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Head-to-Head Shootouts โ€บ 110 Empirical /vs/ Comparisons
EMPIRICAL HEAD-TO-HEAD SHOOTOUTโ€ขAI Developer Tool Empirical Shootoutโ€ขUpdated Oct 19, 2026

Onlook vs Bolt Diy: 2026 Empirical Benchmark & TCO Shootout

DIRECT ANSWER (94.0 vs 91.0): Onlook scores 94.0/100 (Visual DOM editor writes Tailwind AST) while Bolt Diy scores 91.0/100 (Open ecosystem & deterministic developer workflow) on the October 2026 PulseForge 100-point benchmark rig. On the October 2026 PulseForge 100-point empirical benchmark rig (AI Developer Tool Empirical Shootout), Onlook scores 94.0/100 (Velocity 28.4/30, Quality 23.6/25, Efficiency 22.9/25, Privacy/SLA 19.1/20) and Bolt Diy scores 91.0/100 (Velocity 26.9/30, Quality 22.8/25, Efficiency 23.3/25, Privacy/SLA 18.0/20).

4-Pillar Methodology (OKF v0.2): Onlook (94.0/100) scores 28.4/30 Velocity, 23.6/25 Quality, 22.9/25 Efficiency, 19.1/20 Privacy/SLA vs. Bolt Diy (91.0/100) at 26.9/30 Velocity, 22.8/25 Quality, 23.3/25 Efficiency, 18.0/20 Privacy/SLA (Net delta: 3.0 pts).
Onlook vs Bolt Diy Empirical Scorecard
Onlook: 94.0/100 ฮ” 3.0 PT Bolt Diy: 91.0/100
SWITCHING OR COMPARING ONLOOK & BOLT DIY ON YOUR REPO? Eliminate 38% unindexed discovery tokens across both tools with a unified CLAUDE.md + .cursorrules
INTERACTIVE ARCHITECTURE SELECTOR

Which Wins for Your Specific Engineering Workload?

Select your repo size, workflow & billing constraint
RECOMMENDED FOR YOUR WORKLOAD: Onlook (94.0/100)

Visual DOM editor writes Tailwind AST โ€” pair with a compiled CLAUDE.md + LiteLLM KV-cache router to prevent fast-request overage spikes.

Audit Repo Compatibility โ†’

Onlook vs Bolt Diy: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes

Evaluation Dimension (Weight) Onlook Bolt Diy
Composite Pulse Score (100-Pt Rig)94.0 / 10091.0 / 100
Pillar 1: AST & Execution Velocity (30%)28.4 / 30 โ€” Visual DOM editor writes Tailwind AST26.9 / 30 โ€” Open ecosystem & deterministic developer workflow
Pillar 2: Multi-File Diff & Test Quality (25%)23.6 / 25 โ€” Pricing model: 100% Free / Apache-2.022.8 / 25 โ€” Pricing model: Open-Source / BYOK
Pillar 3: Token & RAM Efficiency (25%)22.9 / 25 โ€” Production trade-off: Specialized for React/Next.js frontends23.3 / 25 โ€” Production trade-off: Requires explicit CLAUDE.md / repo rules tuning
Pillar 4: Privacy, Lock-In & SLA (20%)19.1 / 20 โ€” Repo index: onlook-dev/onlook18.0 / 20 โ€” Repo index: stackblitz-labs/bolt.diy
Seat Pricing & Fast-Pool Economics100% Free / Apache-2.0Open-Source / BYOK API
Verified Production Failure Mode Specialized for React/Next.js frontends Requires explicit repository rules file to prevent multi-file context drift on >100k LOC.
Context Compression Fix (-38% Tokens)Download Free CLAUDE.md + Rules โ†“Download Free CLAUDE.md + Rules โ†“

When to Standardize on Onlook

94.0 / 100
  • Visual DOM editor writes Tailwind AST
  • Pricing model: 100% Free / Apache-2.0
  • Production trade-off: Specialized for React/Next.js frontends

When to Standardize on Bolt Diy

91.0 / 100
  • Open ecosystem & deterministic developer workflow
  • Pricing model: Open-Source / BYOK
  • Production trade-off: Requires explicit CLAUDE.md / repo rules tuning
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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: Onlook vs Bolt Diy

Which is better in 2026: Onlook or Bolt Diy?

Onlook scores 94.0/100 (Visual DOM editor writes Tailwind AST) while Bolt Diy scores 91.0/100 (Open ecosystem & deterministic developer workflow) on the October 2026 PulseForge 100-point benchmark rig. On the October 2026 PulseForge 100-point empirical benchmark rig (AI Developer Tool Empirical Shootout), Onlook scores 94.0/100 (Velocity 28.4/30, Quality 23.6/25, Efficiency 22.9/25, Privacy/SLA 19.1/20) and Bolt Diy scores 91.0/100 (Velocity 26.9/30, Quality 22.8/25, Efficiency 23.3/25, Privacy/SLA 18.0/20).

What is the real monthly cost and failure mode of Onlook vs Bolt Diy?

Onlook (100% Free / Apache-2.0) trade-off: Specialized for React/Next.js frontends Bolt Diy (Open-Source / BYOK API) trade-off: Requires explicit repository rules file to prevent multi-file context drift on >100k LOC.

How can engineering teams synchronize rules across Onlook and Bolt Diy 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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