What is the cheapest AI API for document analysis?

Gemini 2.0 Flash Lite at $0.075/$0.30 per 1M tokens is cheapest per-token, but document analysis is extremely input-heavy (5K-50K tokens per document). For 1,000 documents/day at 10K input tokens + 500 output tokens each, Gemini Flash Lite costs ~$3/month. For accuracy-critical tasks (contract review, compliance), Claude Haiku or GPT-4o mini provide better extraction quality at ~$10-15/month.

How much does AI document analysis cost per month?

Analyzing 1,000 documents/day (10K input + 500 output tokens each) costs: Gemini Flash Lite ~$3/month, DeepSeek V4 Flash ~$5/month, GPT-4o mini ~$10/month, Claude Haiku ~$20/month. For 10K+ docs/day, budget $30-200/month. Document analysis is input-heavy — 90%+ of cost is processing the document text.

Which models are best for document extraction and parsing?

For structured extraction (tables, forms, key-value pairs), GPT-4o mini and Claude Haiku excel at following extraction schemas reliably. For simple classification or summarization of documents, budget models like Gemini Flash work well. For legal/medical documents requiring high accuracy, use Claude Sonnet or GPT-5 for critical extractions and budget models for initial triage.

Cheapest AI API for Document Analysis

Find the cheapest AI API for document analysis. Compare 42 models for PDF parsing, contract review, and data extraction from documents.

Calculate Your Document Analysis Cost

Enter your document analysis workload to see the cheapest models for your use case.

Use case:

Documents per day

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Avg output tokens per doc

Days per month

Document Analysis API Cost Ranking

Every model ranked by cost for a typical document analysis workload: 1,000 docs/day, 10,000 input / 500 output tokens per doc.

Top Picks by Volume

Small Team (under $15/month)

Gemini 2.0 Flash Lite$3.31/mo

Gemini 2.5 Flash-Lite$4.38/mo

Mistral Small 4$4.38/mo

Production ($15-50/month)

DeepSeek V4 Flash$5.85/mo

GPT-4o mini$10.50/mo

GPT-oss 20B$12.60/mo

Enterprise (1000+ docs/day)

Claude Haiku 4.5$21.00/mo

Gemini 2.5 Pro$15.75/mo

Claude Sonnet 4$105.00/mo

Strategy: Tiered Document Pipeline

Document analysis is extremely input-heavy — 90%+ of cost comes from processing the document text itself. The key optimization is routing documents by complexity.

Tiered Pipeline (1,000 docs/day)

Tier 1: 70% simple docs (forms, invoices) → Gemini Flash ($0.10/$0.40)$7.56/mo

Tier 2: 25% complex docs (contracts, reports) → GPT-4o mini ($0.15/$0.60)$6.75/mo

Tier 3: 5% critical (legal, compliance) → Claude Sonnet ($3/$15)$12.60/mo

Total with pipeline$26.91/mo (vs $210 on Claude Sonnet for all) — saves 87%

This tiered approach saves 87% compared to running everything through Claude Sonnet. The key insight: most documents are simple forms or invoices that don't need premium models — only contracts, legal filings, and compliance documents require high-accuracy extraction.

Document Analysis Considerations

Input tokens dominate: Documents are long (5K-50K tokens). Output is usually short (summary, extraction). 90%+ of cost is input processing.
Accuracy matters: For legal, medical, or financial documents, extraction errors are costly. Test each model's accuracy on your specific document types before choosing the cheapest.
Structured output: Use models with reliable JSON mode or function calling for extraction tasks. Gemini Flash, GPT-4o mini, and Claude Haiku all support structured output well.
Context window: Long documents (50+ pages) may exceed context limits. Models with large context (Gemini Flash at 1M, Claude at 200K) handle full-document analysis better.
Batch processing: Document analysis is often non-real-time. Batch APIs can reduce costs by 50%+ for reports, audits, or periodic processing.

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