DeepSeek · Mid-tier · 164K context window

DeepSeek V3 pricing for data extraction

$0.002180 per call at 4,000 input / 1,000 output tokens.

Per call

$0.002180

10K calls/mo

$21.8

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 data extraction spend. Prices verified daily against provider pricing pages.

Configure your usage

4,000
100100K
1,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$22
10,000 calls/month
Cost per call$0.002180
Daily cost$0.7267
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=1000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.002180 per call at standard rates
# Input:  $0.27/MTok
# Output: $1.10/MTok

What drives data extraction cost

Extraction is input-heavy and output-light (the raw document goes in, structured fields come out), which makes it one of the cheapest tasks per unit of value on this list. Output is small enough that output pricing is nearly irrelevant. Cost tracks document size, so the lever is sending only the pages that contain the fields you want.

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 4,000/1,000 token split, output accounts for 50% of the $0.002180 per-call cost.

Complete DeepSeek V3 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.274,000
Output$1.101,000

Prompt caching: 74% off input tokens

Caching drops input cost from $0.27 to $0.07/MTok. For repeated system prompts, that saves $0.000800 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$0.002180$21.8$13.8$8
50,000 calls$0.002180$109$68.99$40.01
100,000 calls$0.002180$218$137.97$80.03
500,000 calls$0.002180$1,090$689.86$400.14
1,000,000 calls$0.002180$2,180$1,379.72$800.28

DeepSeek V3 quality benchmarks for data extraction

Benchmark data for data extraction 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 data extraction

2 models score 80+ on data extraction benchmarks, sorted by input rate. Cheapest: Gemini 3 Flash (129% more, 86/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs DeepSeek
Gemini 3 FlashGemini$0.50$3.0086/100$0.005000129% more
Claude Haiku 4.5Claude$1.00$5.0088/100$0.009000313% 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 data extraction per API call?

A typical data extraction call using DeepSeek V3 costs about $0.002180 per call. This estimate uses 4,000 input tokens and 1,000 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 data extraction?

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

What is the cheapest model for data extraction with good quality?

The most affordable model for data extraction 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 86/100. 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 data extraction?

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 $0.002180 to about $0.000565 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 data extraction 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 data extraction, typical calls use 4,000 input and 1,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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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.