DeepSeek · Mid-tier · 164K context window

DeepSeek V3 pricing for pdf summarization

$0.005700 per call at 15,000 input / 1,500 output tokens.

Per call

$0.005700

10K calls/mo

$57

Cache savings

74% off input

Batch savings

0% off all

Calculate your DeepSeek V3 costs

Adjust token counts, volume, and discount toggles to model your pdf summarization spend. Prices verified daily against provider pricing pages.

Configure your usage

15,000
100100K
1,500
5050K
10,000
1001M

Estimated cost

Monthly cost
$57
10,000 calls/month
Cost per call$0.005700
Daily cost$2
Input rate$0.27/MTok
Output rate$1.10/MTok
Analyze your real spend

Quick start

Call DeepSeek V3 with the OpenAI Python SDK pointed at api.deepseek.com:

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.deepseek.com/v1",
    api_key=os.environ["DEEPSEEK_API_KEY"],
)
response = client.chat.completions.create(
    model="deepseek-v3",
    max_tokens=1500,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.005700 per call at standard rates
# Input:  $0.27/MTok
# Output: $1.10/MTok

What drives pdf summarization cost

PDFs are the worst case for input cost: extracted text carries page furniture, headers, and footnotes that inflate token counts well past what the content warrants. Cleaning the extraction before sending it often cuts more cost than changing models. Long PDFs also routinely cross long-context pricing thresholds, so chunking is both a quality and a cost decision.

For DeepSeek V3 specifically, that means output tokens cost 4.1x more than input, at $1.10 vs $0.27 per MTok. At this use case’s 15,000/1,500 token split, output accounts for 29% of the $0.005700 per-call cost.

Complete DeepSeek V3 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.2715,000
Output$1.101,500

Prompt caching: 74% off input tokens

Caching drops input cost from $0.27 to $0.07/MTok. For repeated system prompts, that saves $0.003001 per call.

Batch API: 0% off all tokens

Submit requests asynchronously and receive 0% off all token costs. This works best for offline pipelines where latency requirements are flexible.

Monthly cost projections

Monthly volumeCost per callStandard monthlyCached monthlyYou save with caching
10,000 calls$0.005700$57$26.99$30.01
50,000 calls$0.005700$285$134.95$150.05
100,000 calls$0.005700$570$269.9$300.1
500,000 calls$0.005700$2,850$1,349.48$1,500.52
1,000,000 calls$0.005700$5,700$2,698.95$3,001.05

DeepSeek V3 quality benchmarks for pdf summarization

Benchmark data for pdf summarization is pending for DeepSeek V3. Test against your own evaluation suite before moving to production.

Benchmark data is not yet available for DeepSeek V3. We recommend testing against your own evaluation criteria.

Alternative models for pdf summarization

10 models score 80+ on pdf summarization benchmarks, sorted by input rate. Cheapest: Gemini 3 Flash (111% more, 83/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs DeepSeek
Gemini 3 FlashGemini$0.50$3.0083/100$0.0120111% more
Gemini 3.6 FlashGemini$0.75$3.7575/100$0.0169196% more
Gemini 3.7 FlashGemini$0.75$3.7579/100$0.0169196% more
Gemini 3.8 FlashGemini$0.75$3.7581/100$0.0169196% more
Claude Haiku 4.5Claude$1.00$5.0082/100$0.0225295% more
Gemini 3.5 FlashGemini$1.50$9.0076/100$0.0360532% more
Gemini 3.1 ProGemini$2.00$12.0080/100$0.0480742% more
Grok 4.7Grok$2.00$6.0075/100$0.0390584% more
Claude Fable 5Claude$10.00$50.0077/100$0.22503847% more
GPT 6 AstraGPT$10.00$50.0076/100$0.22503847% more

About DeepSeek V3

Provider

DeepSeek

Tier

Mid-tier

Context

164K tokens

Released

Dec 2024

Prices are off-peak rates from api-docs.deepseek.com (read 2026-10-11). Peak-hour prices are 2x the listed input and output rates — Tokeven does not model time-of-day tiers; off-peak is used as the base. Cache hit: $0.07/MTok input. No batch discount published. Not yet benchmarked, so never recommended.

Other models from DeepSeek

ModelTierInput $/MTokOutput $/MTokContext
DeepSeek R1Mid-tier$0.55$2.19128K
DeepSeek FlashFast / Budget$0.15$0.601M
DeepSeek V4 ProFlagship$0.66$1.981M

You can compare DeepSeek V3 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions

How much does DeepSeek V3 cost for pdf summarization per API call?

A typical pdf summarization call using DeepSeek V3 costs about $0.005700 per call. This estimate uses 15,000 input tokens and 1,500 output tokens at standard rates. Standard rates are $0.27 per million input tokens and $1.10 per million output tokens.

Is DeepSeek V3 the best model for pdf summarization?

Our benchmark data does not yet include a pdf summarization ranking for DeepSeek V3. We recommend testing it against your own evaluation criteria before production usage.

What is the cheapest model for pdf summarization with good quality?

The most affordable model for pdf summarization above 80/100 quality is Gemini 3 Flash. It comes from Gemini at $0.50 per million input tokens. Output costs $3.00 per million tokens with a quality score of 83/100. Gemini 3 Flash costs more per call than DeepSeek V3 but scores higher on quality benchmarks for this task type.

How can I reduce my DeepSeek V3 costs for pdf summarization?

Three strategies lower DeepSeek V3 costs for this task type effectively. Prompt caching gives a 74% discount on input tokens when reusing system prompts. The batch API gives 0% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.005700 to about $0.001476 per call.

How does DeepSeek V3 pricing compare to other DeepSeek models?

DeepSeek has 3 other models alongside DeepSeek V3 today: DeepSeek R1 at $0.55/$2.19 per million tokens (mid-tier), DeepSeek Flash at $0.15/$0.60 per million tokens (fast / budget), DeepSeek V4 Pro at $0.66/$1.98 per million tokens (flagship). The right choice depends on whether your pdf summarization workload prioritizes quality, cost, or speed.

What context window does DeepSeek V3 support?

DeepSeek V3 supports a context window of 164K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For pdf summarization, typical calls use 15,000 input and 1,500 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

Track what you spend on AI

This calculator estimates costs based on published rates only. Connect your API usage to see where your money goes and which models drive your spend.