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Batch Processing Cost Calculator
Estimate LLM costs for bulk text processing: classification, extraction, summarization, and data enrichment at scale.
Typical Token Breakdown
100
Task instruction
Classification schema, extraction fields, or summarization instructions
800
Input text
Document, record, or content being processed
50
Output format
JSON schema or structured output definition
50
Examples (few-shot)
2-3 examples for consistent output format
Total: ~1,200 tokens per request (1,000 input + 200 output)
Cost Calculator
Recommended Models
Qwen3.5 FlashCheapest
Near-zero cost at $0.01/1M input — ideal for 100k+ daily requests
$60.00
/month
Gemini 2.5 Flash-LiteBest Balance
Best balance of quality and cost for production batch pipelines
$540.00
/month
Llama 3.1 8BOpen Source
Open-source model via Together AI/Fireworks — fully cost-controllable
$90.00
/month
Cost Optimization Tips
🌙Use OpenAI Batch API (50% discount) or Anthropic Batch for async overnight processing
📦Group similar documents into one request with structured output — reduce per-item overhead
🏷️For classification, use constrained generation (logit bias) to force valid labels — no retry needed
🔄Process in chunks of 1000 items; if error rate <1%, skip retries to save 5-10% cost