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AI Article Summarizer Cost — 100k Articles/Month

Summarizing 100k articles per month runs $40–$400 depending on model choice and batch usage.

Cost range: $40–$400/mo

Scenario

A news aggregator or content tool produces TL;DR summaries for 100,000 articles per month. Each article averages 3,000 input tokens; the model returns a 200-token summary. The work runs as an offline pipeline, so batch APIs (50% discount on supported providers) are usable. Cache hit is low because each article is unique, though shared formatting instructions cache modestly.

Assumption Value
Articles / month 100,000
Input / article ~3,000 tokens
Summary length ~200 tokens
Cache hit 20% (instruction template)
Latency Not critical (async pipeline)

Apply batch API discount (typically 50%) manually for OpenAI/Anthropic/Google. The numbers below show on-demand pricing.

Monthly cost across recommended models

Calculated at 300M input tokens + 20.0M output tokens, with 20% prompt cache hit rate.

Model Input cost Output cost Cache savings Total / mo
Deepseek Chat Cheapest $84.00 $8.40 −$15.12 $77.28
Gpt 5 Mini $75.00 $40.00 −$13.50 $102
Gemini 2.5 Flash $90.00 $50.00 −$16.20 $124
Claude Haiku 4 5 $300 $100 −$54.00 $346

💡 Switching from Claude Haiku 4 5 to Deepseek Chat saves $269/month (78% reduction).

Why these models

Summarization is input-heavy and quality-tolerant — small mid-tier models beat frontier models on cost/quality ratio. Claude Haiku 4.5 leads on prompt caching efficiency. Gemini 2.5 Flash handles longer articles (1M context). DeepSeek is the absolute cheapest if compliance allows.

Key insights

Cost at different scales

Scale Deepseek ChatGpt 5 MiniGemini 2.5 FlashClaude Haiku 4 5
Small site (10k articles) $7.73$10.15$12.38$34.60
Baseline (100k articles) $77.28$102$124$346
Major publisher (1M articles) $773$1015$1238$3460
Index-scale (10M articles) $7728$10.2k$12.4k$34.6k

Try your own scenario

The numbers above use our best-guess assumptions. For your actual workflow, use the interactive calculator to plug in your real token volumes and quality requirements.

All cost figures are estimates based on publicly-listed pricing as of the data refresh date. Verify with the provider's official pricing page before making business decisions. Embedding costs, vector database costs, and infrastructure costs are not included unless explicitly noted.