Batch Processing: 50% Off via OpenAI / Anthropic Batch APIs
OpenAI and Anthropic both offer 50%-off batch endpoints with up to 24-hour SLA. For non-realtime workloads (tagging, classification, enrichment), this is free money.
Detailed Explanation
The Batch Discount
Both OpenAI and Anthropic provide batch APIs with significant discounts for non-realtime workloads:
| Provider | Discount | Max wait time | File size limit |
|---|---|---|---|
| OpenAI Batch | 50% off | 24 hours | 100 MB / 50K req |
| Anthropic Batch | 50% off | 24 hours | 100 MB / 100K req |
A 1M-token GPT-4o input drops from $2.50 to $1.25. A 1M-token Claude Sonnet 4.6 input drops from $3.00 to $1.50.
What workloads qualify
- Backfill / one-time migrations: tag historical user content, generate embeddings for an old corpus, translate a static knowledge base.
- Daily batch jobs: nightly summarization of yesterday's support tickets, weekly customer-segment analysis.
- Async enrichment: new product is added to catalog → batch job generates SEO description, alt text, related products within 24h.
- Evaluation runs: scoring 50,000 model outputs against a rubric for an offline benchmark.
What does NOT qualify
- Anything user-facing within the same session.
- Webhooks that need a response within seconds.
- Live chat / agent loops.
- Real-time content moderation.
Hybrid architecture
Many production systems use both:
- Hot path (synchronous): chat UI, search-as-you-type, real-time recommendations → realtime API.
- Cold path (asynchronous): nightly enrichment, weekly reports, monthly model-performance audits → batch API.
The cold path often dominates total token volume; moving it to batch can cut the overall bill by 30-50% with zero impact on user experience.
Implementation cost
Both APIs require a JSONL file upload + polling. Both clients (OpenAI Python SDK, Anthropic Python/TS SDK) have first-class support — typically 30-50 lines of code to integrate.
When 24h is too long
OpenAI does not yet offer a "fast batch" tier; the only options are 50% off + 24h, or full price + seconds. Anthropic's batch is similarly capped. If you need 1-hour latency at a discount, your option is custom pricing via direct contact with the provider's sales team — usually viable above $50K/month committed spend.
Use Case
Use whenever you have a non-realtime LLM workload of meaningful volume. Embedding backfills, content tagging, periodic analysis, evaluation pipelines, and offline data enrichment.
Try It — Prompt Token Cost Calculator
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