What is the cheapest AI API for document analysis?

Gemini 2.5 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 in 2026 — Cost Comparison

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 2.5 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 4.6$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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