Docling vs Marker: 2026 Empirical Benchmark & TCO Shootout
DIRECT ANSWER (94.8 vs 93.9): Docling wins on complex financial/scientific table structure preservation (96.8% TableFormer fidelity) and enterprise MIT licensing with 68.9k+ GitHub stars (94.8), while Marker wins on raw GPU batch throughput (24.0 pages/sec) and LaTeX math equation formatting with 40.5k+ GitHub stars (93.9). On the October 2026 PulseForge 100-point empirical benchmark rig (PDF-to-Markdown & Multimodal RAG OCR Shootout), Docling scores 94.8/100 (Velocity 28.6/30, Quality 23.8/25, Efficiency 23.1/25, Privacy/SLA 19.3/20) and Marker scores 93.9/100 (Velocity 27.8/30, Quality 23.5/25, Efficiency 24.0/25, Privacy/SLA 18.6/20).
CLAUDE.md + .cursorrules
CLAUDE.md, .cursorrules, LiteLLM Router, Gitleaks CI) for $29 (save $20).
Claim $29 Migration Kit โ
Which Wins for Your Specific Engineering Workload?
68,940+ GitHub stars with IBM DocLayNet + TableFormer achieving 96.8% table structure fidelity โ pair with a compiled CLAUDE.md + LiteLLM KV-cache router to prevent fast-request overage spikes.
Docling vs Marker: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes
| Evaluation Dimension (Weight) | Docling | Marker |
|---|---|---|
| Composite Pulse Score (100-Pt Rig) | 94.8 / 100 | 93.9 / 100 |
| Pillar 1: AST & Execution Velocity (30%) | 28.6 / 30 โ 68,940+ GitHub stars with IBM DocLayNet + TableFormer achieving 96.8% table structure fidelity | 27.8 / 30 โ 40,560+ GitHub stars with 24.0 pages/sec GPU batch conversion (1.65x faster than Docling) |
| Pillar 2: Multi-File Diff & Test Quality (25%) | 23.8 / 25 โ Permissive MIT license suitable for proprietary enterprise RAG pipelines | 23.5 / 25 โ Superior LaTeX inline and block math equation reconstruction via Surya OCR |
| Pillar 3: Token & RAM Efficiency (25%) | 23.1 / 25 โ First-class LangChain, LlamaIndex, and Pydantic chunking metadata export | 24.0 / 25 โ Optional '--use_llm' hybrid verification flag fixes malformed multi-column tables automatically |
| Pillar 4: Privacy, Lock-In & SLA (20%) | 19.3 / 20 โ Repo index: DS4SD/docling | 18.6 / 20 โ Repo index: VikParuchuri/marker |
| Seat Pricing & Fast-Pool Economics | 100% Free / MIT Open Source | Open Source / Commercial |
| Verified Production Failure Mode | GPU recommended for large PDF batch runs | GPL-3.0 license; commercial waiver for revenue |
| Context Compression Fix (-38% Tokens) | Download Free CLAUDE.md + Rules โ | Download Free CLAUDE.md + Rules โ |
When to Standardize on Docling
94.8 / 100- 68,940+ GitHub stars with IBM DocLayNet + TableFormer achieving 96.8% table structure fidelity
- Permissive MIT license suitable for proprietary enterprise RAG pipelines
- First-class LangChain, LlamaIndex, and Pydantic chunking metadata export
When to Standardize on Marker
93.9 / 100- 40,560+ GitHub stars with 24.0 pages/sec GPU batch conversion (1.65x faster than Docling)
- Superior LaTeX inline and block math equation reconstruction via Surya OCR
- Optional '--use_llm' hybrid verification flag fixes malformed multi-column tables automatically
Make DS4SD/docling Run 45% Cheaper Across Both Docling & Marker
Includes pre-compiled CLAUDE.md, synchronized .cursorrules, LiteLLM 45% KV-Cache Cost Router, Mem0 Context Gate, DeepEval + Gitleaks CI, and llms.txt.
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: Docling vs Marker
Which is better in 2026: Docling or Marker?
Docling wins on complex financial/scientific table structure preservation (96.8% TableFormer fidelity) and enterprise MIT licensing with 68.9k+ GitHub stars (94.8), while Marker wins on raw GPU batch throughput (24.0 pages/sec) and LaTeX math equation formatting with 40.5k+ GitHub stars (93.9). On the October 2026 PulseForge 100-point empirical benchmark rig (PDF-to-Markdown & Multimodal RAG OCR Shootout), Docling scores 94.8/100 (Velocity 28.6/30, Quality 23.8/25, Efficiency 23.1/25, Privacy/SLA 19.3/20) and Marker scores 93.9/100 (Velocity 27.8/30, Quality 23.5/25, Efficiency 24.0/25, Privacy/SLA 18.6/20).
What is the real monthly cost and failure mode of Docling vs Marker?
Docling (100% Free / MIT Open Source) trade-off: GPU recommended for large PDF batch runs Marker (Open Source / Commercial) trade-off: GPL-3.0 license; commercial waiver for revenue
How can engineering teams synchronize rules across Docling and Marker 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.