Cost to summarise documents with an LLM

What it costs to summarise reports, articles and transcripts with GPT, Claude and Gemini.

Estimated monthly cost — Document summaries

Calculated live from current TokenRex prices.

ModelInput / 1MOutput / 1MPer month
GPT-6 Luna$0.10$0.50$6.50
Claude Haiku 4.5$1.00$5.00$65.00
Gemini 3.8 Flash$0.75$3.75$48.75
Gemini 3.1 Flash Lite$0.25$1.50$17.00
Gemini 4 Argon$2.00$10.00$130.00

The workload we priced

5,000 requests a month, each with about 10,000 input tokens and 600 output tokens. One token is roughly three quarters of an English word.

What drives the bill

Summaries are input-heavy, so choose a model with a low input price.

Ask for a fixed length to keep output predictable.

Get API keyCost calculatorDocs

Questions

Are these exact monthly bills?
They are estimates from live TokenRex prices and the token counts shown. Real bills depend on your actual prompt and reply lengths, which every API response reports in its usage field.
How do I lower the cost?
Shorten system prompts, cap reply length, cache repeated input where the model supports it, and send simple requests to a smaller model.
Which currency am I billed in?
Wallet top-ups and billing are in Indian rupees. Prices display in US dollars by default, and signed-in users can choose another display currency.

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