Workload cost scenario

High-Volume Document Processing LLM Cost Calculator

Plan standard-rate LLM token costs for a high-volume document processing pipeline before evaluating provider batch discounts.

Teams forecasting recurring document enrichment or analysis jobs.

Editable assumptions

Model the workload

Change the inputs to recalculate every compatible model.

Lowest tracked estimate
$112.80

Gemini 2.5 Flash-Lite for the current assumptions

Lowest cost does not mean best model. Test output quality, latency, retries, and reliability on your own workload.

Cost comparison

Estimated monthly cost by model

Comparing 22 models that fit the initial input length.

ModelProviderInput costOutput costMonthly estimateContext usage
Gemini 2.5 Flash-LiteGoogle$76.80$36.00$112.801.1%
DeepSeek V4 Flash non-thinkingDeepSeek$102.14$25.20$127.341.2%
GPT-4o miniOpenAI$144.00$54.00$198.009.4%
gpt-5.4-nanoOpenAI$153.60$112.50$266.103.0%
Gemini 3.5 Live Translate PreviewGoogle$192.00$135.00$327.009.2%
Gemini 3.1 Flash-LiteGoogle$192.00$135.00$327.001.1%
deepseek-v4-proDeepSeek$314.94$78.30$393.241.2%
Gemini 2.5 FlashGoogle$230.40$225.00$455.401.1%
Gemini 3 Flash PreviewGoogle$384.00$270.00$654.001.1%
gpt-5.4-miniOpenAI$576.00$405.00$981.003.0%
Claude Haiku 4.5Anthropic$768.00$450.00$1,218.006.0%
gpt-5.6-lunaOpenAI$768.00$540.00$1,308.001.1%
Gemini 2.5 ProGoogle$960.00$900.00$1,860.001.1%
Gemini 3.5 FlashGoogle$1,152.00$810.00$1,962.001.1%
Claude Sonnet 5Anthropic$1,536.00$900.00$2,436.001.2%
Gemini 3.1 Pro PreviewGoogle$1,536.00$1,080.00$2,616.001.1%
gpt-5.6-terraOpenAI$1,920.00$1,350.00$3,270.001.1%
GPT-4oOpenAI$2,400.00$900.00$3,300.009.4%
Claude Sonnet 4.6Anthropic$2,304.00$1,350.00$3,654.001.2%
Claude Opus 4.8Anthropic$3,840.00$2,250.00$6,090.001.2%
gpt-5.6-solOpenAI$3,840.00$2,700.00$6,540.001.1%
Claude Fable 5Anthropic$12,000.00$4,500.00$16,500.001.2%
Why this scenario matters

High-volume document processing cost drivers

At high volume, prompt repetition, failed jobs, and the difference between standard and provider-specific batch rates can dominate the budget.

StackLens checklist

What to measure

  • Use this standard-rate baseline before modeling batch discounts.
  • Record failed and replayed jobs.
  • Check cache eligibility for repeated instructions and schemas.

Estimate boundary: Displayed totals use each model's verified default profile; provider batch discounts are not automatically applied.

View pricing sources

OpenAI model pricingHigh confidenceChecked 2026-07-13

Tracked prices for included OpenAI models are checked against official provider documentation.

Anthropic model pricingHigh confidenceChecked 2026-07-12

Tracked prices for included Anthropic models are checked against official provider documentation.

Google model pricingHigh confidenceChecked 2026-07-14

Tracked prices for included Google models are checked against official provider documentation.

DeepSeek model pricingHigh confidenceChecked 2026-07-12

Tracked prices for included DeepSeek models are checked against official provider documentation.

Anthropic model pricingHigh confidenceChecked 2026-07-14

Tracked prices for included Anthropic models are checked against official provider documentation.