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HomeAI Cost per TaskSummarize a 400-page book

Documents

What it costs to summarize a 400-page book

A 400-page trade paperback read in one pass, answered with a chapter-by-chapter summary.

Pricing verified: August 2026

The short answer

Between $0.0043 and $0.338 per run, depending on the model. That is a 79× spread for the same job.

Cheapest that fits
OpenAI: GPT-5 Nano
$0.0043
$0.086 at 20 books a month
Best value
OpenAI: GPT-5 Nano
$0.0043
$0.086 at 20 books a month
Highest quality
Gemini 3.1 Pro
$0.338
$6.76 at 20 books a month

How this is calculated

400 book pages at ~300 words per page = ~120,000 words ≈ 160,000 input tokens. A chapter-by-chapter summary of ~1,100 words ≈ 1,500 output tokens.

160,000 input tokens1,500 output tokens162k tokens context needed

Cost = (input tokens ÷ 1M × input price) + (output tokens ÷ 1M × output price). Prices come from our daily-verified model data. Batch and cached-input discounts are not applied — they only ever make these numbers smaller.

Every model, cheapest first

ModelProviderPer runAt 20 books a monthContext
Mistral: Mistral Nemoneeds chunkingMistral$0.0032$0.065131k tokens
OpenAI: GPT-5 NanoOpenAI$0.0043$0.086400k tokens
Meta: Llama 3.2 1B Instructneeds chunkingMeta$0.0046$0.09260k tokens
Google: Gemma 2 9Bneeds chunkingGoogle$0.0049$0.0998k tokens
Meta: Llama 3.1 8B Instructneeds chunkingMeta$0.0081$0.16216k tokens
OpenAI: GPT-4.1 NanoOpenAI$0.0083$0.1661.0M tokens
Mistral: Mistral Small 3.2 24Bneeds chunkingMistral$0.012$0.246128k tokens
GPT-4oneeds chunkingOpenAI$0.012$0.249128k tokens
Google: Gemini 2.0 Flash LiteGoogle$0.012$0.2491.0M tokens
OpenAI: gpt-oss-safeguard-20bneeds chunkingOpenAI$0.012$0.249131k tokens
Mistral: Ministral 3 3B 2512needs chunkingMistral$0.016$0.323131k tokens
Llama 4 ScoutMeta$0.016$0.329512k tokens
Mistral: Devstral Small 1.1needs chunkingMistral$0.016$0.329131k tokens
Mistral: Mistral Small Creativeneeds chunkingMistral$0.016$0.32933k tokens
Mistral: Voxtral Small 24B 2507needs chunkingMistral$0.016$0.32932k tokens
Google: Gemini 2.0 FlashGoogle$0.017$0.3321.0M tokens
Google: Gemini 2.5 Flash LiteGoogle$0.017$0.3321.0M tokens
Google: Gemini 2.5 Flash Lite Preview 09-2025Google$0.017$0.3321.0M tokens
GPT-5.6 LunaOpenAI$0.017$0.3381.1M tokens
Mistral: Mistral 7B Instruct v0.1needs chunkingMistral$0.018$0.3583k tokens
Gemma 4 26B A4BGoogle$0.021$0.428262k tokens
Meta: Llama 3 8B Instructneeds chunkingMeta$0.023$0.4528k tokens
DeepSeek V4-FlashDeepSeek$0.023$0.4561M tokens
Gemma 4 31BGoogle$0.023$0.460262k tokens
Mistral: Ministral 3 8B 2512Mistral$0.024$0.484262k tokens
GPT-4o Minineeds chunkingOpenAI$0.025$0.498128k tokens
Mistral: Mistral Small 4Mistral$0.025$0.498262k tokens
Google: Gemini 2.5 FlashGoogle$0.026$0.5181.0M tokens
Meta: Llama Guard 4 12BMeta$0.029$0.581164k tokens
Mistral: Ministral 3 14B 2512Mistral$0.032$0.646262k tokens
Mistral: Sabaneeds chunkingMistral$0.033$0.65833k tokens
Llama 4 MaverickMeta$0.033$0.664256k tokens
OpenAI: GPT-4.1 MiniOpenAI$0.033$0.6641.0M tokens
xAI: Grok Code Fast 1xAI$0.034$0.685256k tokens
OpenAI: GPT-3.5 Turboneeds chunkingOpenAI$0.041$0.82316k tokens
Anthropic: Claude 3 HaikuAnthropic$0.042$0.838200k tokens
Google: Gemini 3 Flash PreviewGoogle$0.042$0.8451.0M tokens
OpenAI: GPT-5 MiniOpenAI$0.043$0.860400k tokens
OpenAI: GPT-5.1-Codex-MiniOpenAI$0.043$0.860400k tokens
DeepSeek V3needs chunkingDeepSeek$0.045$0.897128k tokens
xAI: Grok 3 Minineeds chunkingxAI$0.049$0.975131k tokens
xAI: Grok 3 Mini Betaneeds chunkingxAI$0.049$0.975131k tokens
Mistral: Codestral 2508Mistral$0.049$0.987256k tokens
Gemini 3.5 Flash-LiteGoogle$0.052$1.041.0M tokens
Google: Nano Banana (Gemini 2.5 Flash Image)needs chunkingGoogle$0.052$1.0433k tokens
Meta: Llama 3.2 11B Vision Instructneeds chunkingMeta$0.056$1.11131k tokens
Mistral Small 3.1needs chunkingMistral$0.057$1.14128k tokens
Mistral: Mistral Small 3needs chunkingMistral$0.057$1.1433k tokens
Gemini 3.6 FlashGoogle$0.063$1.261.0M tokens
Meta: Llama 3.1 70B Instructneeds chunkingMeta$0.065$1.29131k tokens
Mistral: Devstral 2 2512Mistral$0.067$1.34262k tokens
Mistral: Devstral Mediumneeds chunkingMistral$0.067$1.34131k tokens
Mistral: Mistral Medium 3needs chunkingMistral$0.067$1.34131k tokens
Mistral: Mistral Medium 3.1needs chunkingMistral$0.067$1.34131k tokens
DeepSeek V4-ProDeepSeek$0.071$1.421M tokens
Llama Guard 3 8Bneeds chunkingMeta$0.077$1.54131k tokens
Mistral: Mistral Large 3 2512Mistral$0.082$1.65262k tokens
Meta: Llama 3 70B Instructneeds chunkingMeta$0.083$1.658k tokens
Anthropic: Claude Haiku 4.5Anthropic$0.084$1.68200k tokens
Gemini 3.1 FlashGoogle$0.085$1.691M tokens
Mistral: Mixtral 8x7B Instructneeds chunkingMistral$0.087$1.7433k tokens
DeepSeek R1needs chunkingDeepSeek$0.091$1.83128k tokens
OpenAI: o3 MiniOpenAI$0.091$1.83200k tokens
OpenAI: o3 Mini HighOpenAI$0.091$1.83200k tokens
OpenAI: o4 MiniOpenAI$0.091$1.83200k tokens
OpenAI: o4 Mini HighOpenAI$0.091$1.83200k tokens
OpenAI: GPT Audio Minineeds chunkingOpenAI$0.100$1.99128k tokens
Google: Gemma 2 27Bneeds chunkingGoogle$0.105$2.108k tokens
Google: Gemini 2.5 ProGoogle$0.108$2.151.0M tokens
OpenAI: GPT-5 CodexOpenAI$0.108$2.15400k tokens
Gemini 3.5 FlashGoogle$0.127$2.541.0M tokens
Anthropic: Claude 3.5 HaikuAnthropic$0.134$2.68200k tokens
Claude 4 HaikuAnthropic$0.134$2.68200k tokens
Codestral 25.01Mistral$0.148$2.96256k tokens
Kimi K2.7 CodeMoonshot$0.158$3.16256k tokens
OpenAI: GPT-3.5 Turbo (older v0613)needs chunkingOpenAI$0.163$3.264k tokens
OpenAI: GPT-4.1OpenAI$0.166$3.321.0M tokens
OpenAI: o3OpenAI$0.166$3.32200k tokens
Claude Sonnet 5Anthropic$0.168$3.351M tokens
GPT-5.6 SolOpenAI$0.168$3.351.1M tokens
GPT-5.6 TerraOpenAI$0.169$3.381.1M tokens
OpenAI: GPT-5OpenAI$0.169$3.38400k tokens
GPT-5.2 Minineeds chunkingOpenAI$0.199$3.98128k tokens
Muse SparkMeta$0.206$4.131.0M tokens
Google: Gemini 2.5 Pro Preview 05-06Google$0.215$4.301.0M tokens
Google: Gemini 2.5 Pro Preview 06-05Google$0.215$4.301.0M tokens
OpenAI: GPT-5 Chatneeds chunkingOpenAI$0.215$4.30128k tokens
OpenAI: GPT-5.1OpenAI$0.215$4.30400k tokens
OpenAI: GPT-5.1 Chatneeds chunkingOpenAI$0.215$4.30128k tokens
OpenAI: GPT-5.1-CodexOpenAI$0.215$4.30400k tokens
OpenAI: GPT-5.1-Codex-MaxOpenAI$0.215$4.30400k tokens
GLM-5.2Z.ai$0.231$4.611M tokens
OpenAI: GPT-3.5 Turbo Instructneeds chunkingOpenAI$0.243$4.864k tokens
Anthropic: Claude Sonnet 4.5Anthropic$0.251$5.021M tokens
Claude Sonnet 4.6Anthropic$0.251$5.021M tokens
Mistral Medium 3.5Mistral$0.251$5.02256k tokens
OpenAI: GPT-5.3 Chatneeds chunkingOpenAI$0.301$6.02128k tokens
OpenAI: GPT-5.3-CodexOpenAI$0.301$6.02400k tokens
Grok 4xAI$0.329$6.582M tokens
Grok 4.5xAI$0.329$6.58500k tokens
Mistral Large 2needs chunkingMistral$0.329$6.58128k tokens
Mistral: Mixtral 8x22B Instructneeds chunkingMistral$0.329$6.5866k tokens
Mistral: Pixtral Large 2411needs chunkingMistral$0.329$6.58131k tokens
Qwen 3.8 MaxAlibaba$0.329$6.581M tokens
OpenAI: o4 Mini Deep ResearchOpenAI$0.332$6.64200k tokens
Gemini 3.1 ProGoogle$0.338$6.762M tokens
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)needs chunkingGoogle$0.338$6.7666k tokens
OpenAI: GPT-5 Image MiniOpenAI$0.403$8.06400k tokens
Qwen 3.7 MaxAlibaba$0.411$8.221M tokens
OpenAI: GPT Audioneeds chunkingOpenAI$0.415$8.30128k tokens
Claude Opus 5Anthropic$0.419$8.381M tokens
GPT-5.4OpenAI$0.423$8.45272k tokens
OpenAI: GPT-3.5 Turbo 16kneeds chunkingOpenAI$0.486$9.7216k tokens
Anthropic: Claude 3.7 Sonnet (thinking)Anthropic$0.502$10.05200k tokens
Anthropic: Claude Sonnet 4Anthropic$0.502$10.05200k tokens
Kimi K3Moonshot$0.502$10.051M tokens
xAI: Grok 3needs chunkingxAI$0.502$10.05131k tokens
xAI: Grok 3 Betaneeds chunkingxAI$0.502$10.05131k tokens
OpenAI: GPT-4 Turboneeds chunkingOpenAI$0.823$16.45128k tokens
Anthropic: Claude Opus 4.5Anthropic$0.838$16.75200k tokens
Claude Fable 5Anthropic$0.838$16.751M tokens
Claude Opus 4.7Anthropic$0.838$16.751M tokens
Claude Opus 4.8Anthropic$0.838$16.751M tokens
GPT-5.5OpenAI$0.845$16.901M tokens
Anthropic: Claude 3.5 SonnetAnthropic$1.00$20.10200k tokens
OpenAI: o1OpenAI$1.24$24.90200k tokens
OpenAI: GPT-5 ProOpenAI$1.29$25.80400k tokens
OpenAI: GPT-5 ImageOpenAI$1.61$32.30400k tokens
OpenAI: GPT-4 Turbo (older v1106)needs chunkingOpenAI$1.65$32.90128k tokens
OpenAI: GPT-4 Turbo Previewneeds chunkingOpenAI$1.65$32.90128k tokens
OpenAI: o3 Deep ResearchOpenAI$1.66$33.20200k tokens
OpenAI: o3 ProOpenAI$1.66$33.20200k tokens
Claude Mythos 5Anthropic$1.68$33.501M tokens
GPT-5.2OpenAI$1.98$39.54200k tokens
Anthropic: Claude Opus 4Anthropic$2.51$50.25200k tokens
Anthropic: Claude Opus 4.1Anthropic$2.51$50.25200k tokens
Claude Opus 4.6Anthropic$2.51$50.251M tokens
OpenAI: GPT-4needs chunkingOpenAI$4.89$97.808k tokens
OpenAI: GPT-4 (older v0314)needs chunkingOpenAI$4.89$97.808k tokens
OpenAI: o1-proOpenAI$12.45$249200k tokens

“Needs chunking” means the model's context window can't hold this job in a single pass, so the real cost is higher than the figure shown and quality usually suffers.

Should you just pick the cheapest?

160,000 tokens rules out most models in a single pass — this is the job that justifies a 200K or 1M context window. Below that you are chunking, and chunked summaries lose the through-line between chapters, which is the entire reason to summarise a book.

Price your own token counts →best long context ai →best ai for long documents →ai context window comparison →best ai for summarizing →

Frequently asked

How much does it cost to summarize a book with AI?

$0.0043 on OpenAI: GPT-5 Nano, the cheapest capable option, rising to $0.338 on Gemini 3.1 Pro at the top end. OpenAI: GPT-5 Nano is the value pick at $0.0043 per run. The job is priced at 160,000 input and 1,500 output tokens — see the working below.

How did you work out the token count for this task?

400 book pages at ~300 words per page = ~120,000 words ≈ 160,000 input tokens. A chapter-by-chapter summary of ~1,100 words ≈ 1,500 output tokens.

What does this cost at 20 books a month?

$0.086 a month on OpenAI: GPT-5 Nano, $0.086 on OpenAI: GPT-5 Nano, and $6.76 on Gemini 3.1 Pro. Batch APIs typically halve these figures for work that can wait, and prompt caching cuts the input side further when the same context is reused.

Is the cheapest model the right choice for this task?

160,000 tokens rules out most models in a single pass — this is the job that justifies a 200K or 1M context window. Below that you are chunking, and chunked summaries lose the through-line between chapters, which is the entire reason to summarise a book.

Are these prices current?

Yes. Every figure on this page is computed from our model pricing data, which is checked daily against each provider's official pricing page. When a provider changes a price, these numbers change with it.

What other AI tasks cost

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