DeepSeek · Flagship · 1M context window

DeepSeek V4 Pro pricing for content moderation

$0.000528 per call at 500 input / 100 output tokens.

Per call

$0.000528

10K calls/mo

$5.28

Cache savings

97% off input

Batch savings

0% off all

Calculate your DeepSeek V4 Pro costs

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

Configure your usage

500
100100K
100
5050K
10,000
1001M

Estimated cost

Monthly cost
$5
10,000 calls/month
Cost per call$0.000528
Daily cost$0.176
Input rate$0.66/MTok
Output rate$1.98/MTok
Analyze your real spend

Quick start

Call DeepSeek V4 Pro 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-v4-pro",
    max_tokens=100,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.000528 per call at standard rates
# Input:  $0.66/MTok
# Output: $1.98/MTok

How DeepSeek V4 Pro compares on cost

Per-call cost for all models scoring 50+ on content moderation benchmarks. Hover for details.

Cheapest viable option: GPT 5.6 Luna at $0.000220/call (58% less, 91/100 quality).

What drives content moderation cost

The highest-volume, lowest-per-call task on this list: short input, a label out. Per-call cost is nearly negligible, which means total cost is a function of throughput alone. At moderation volume the difference between tiers is the entire budget, and a fast-tier model handling the clear cases with escalation for the ambiguous ones beats one model handling everything.

For DeepSeek V4 Pro specifically, that means output tokens cost 3.0x more than input, at $1.98 vs $0.66 per MTok. At this use case’s 500/100 token split, output accounts for 38% of the $0.000528 per-call cost.

Complete DeepSeek V4 Pro pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.66500
Output$1.98100

Prompt caching: 97% off input tokens

Caching drops input cost from $0.66 to $0.02/MTok. For repeated system prompts, that saves $0.000319 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$0.000528$5.28$2.09$3.19
50,000 calls$0.000528$26.4$10.44$15.96
100,000 calls$0.000528$52.8$20.89$31.91
500,000 calls$0.000528$264$104.45$159.56
1,000,000 calls$0.000528$528$208.89$319.11

DeepSeek V4 Pro quality benchmarks for content moderation

Benchmark data for content moderation is pending for DeepSeek V4 Pro. Test against your own evaluation suite before moving to production.

Benchmark data is not yet available for DeepSeek V4 Pro. We recommend testing against your own evaluation criteria.

Alternative models for content moderation

12 models score 80+ on content moderation benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (58% less, 91/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs DeepSeek
GPT 5.6 LunaGPT$0.20$1.2091/100$0.00022058% cheaper
Gemini 3.5 Flash-LiteGemini$0.30$2.5085/100$0.00040024% cheaper
Gemini 3 FlashGemini$0.50$3.0088/100$0.0005504% more
Claude Haiku 4.5Claude$1.00$5.0090/100$0.00100089% more
Gemini 3.5 FlashGemini$1.50$9.0092/100$0.001650212% more
Claude Sonnet 5Claude$2.00$10.0086/100$0.002000279% more
GPT 5.6 TerraGPT$2.00$12.0089/100$0.002200317% more
Gemini 3.1 ProGemini$2.00$12.0086/100$0.002200317% more
GPT 5.4GPT$2.50$15.0088/100$0.002750421% more
Claude Sonnet 4.6Claude$3.00$15.0084/100$0.003000468% more
GPT 5.6 SolGPT$4.00$20.0086/100$0.004000658% more
GPT 5.5GPT$5.00$30.0085/100$0.005500942% more

About DeepSeek V4 Pro

Provider

DeepSeek

Tier

Flagship

Context

1M tokens

Released

Not published

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: $0.022/MTok input. No batch discount published. Not yet benchmarked, so never recommended.

Other models from DeepSeek

ModelTierInput $/MTokOutput $/MTokContext
DeepSeek V3Mid-tier$0.27$1.10164K
DeepSeek R1Mid-tier$0.55$2.19128K
DeepSeek FlashFast / Budget$0.15$0.601M

You can compare DeepSeek V4 Pro 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 V4 Pro cost for content moderation per API call?

A typical content moderation call using DeepSeek V4 Pro costs about $0.000528 per call. This estimate uses 500 input tokens and 100 output tokens at standard rates. Standard rates are $0.66 per million input tokens and $1.98 per million output tokens.

Is DeepSeek V4 Pro the best model for content moderation?

Our benchmark data does not yet include a content moderation ranking for DeepSeek V4 Pro. We recommend testing it against your own evaluation criteria before production usage.

What is the cheapest model for content moderation with good quality?

The most affordable model for content moderation above 80/100 quality is GPT 5.6 Luna. It comes from GPT at $0.20 per million input tokens. Output costs $1.20 per million tokens with a quality score of 91/100. Switching from DeepSeek V4 Pro to GPT 5.6 Luna saves about 58% per API call.

How can I reduce my DeepSeek V4 Pro costs for content moderation?

Three strategies lower DeepSeek V4 Pro costs for this task type effectively. Prompt caching gives a 97% 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 $0.000528 to about $0.000017 per call.

How does DeepSeek V4 Pro pricing compare to other DeepSeek models?

DeepSeek has 3 other models alongside DeepSeek V4 Pro today: DeepSeek V3 at $0.27/$1.10 per million tokens (mid-tier), DeepSeek R1 at $0.55/$2.19 per million tokens (mid-tier), DeepSeek Flash at $0.15/$0.60 per million tokens (fast / budget). The right choice depends on whether your content moderation workload prioritizes quality, cost, or speed.

What context window does DeepSeek V4 Pro support?

DeepSeek V4 Pro supports a context window of 1M tokens per API call. This sets the maximum combined length of your input prompt and generated response. For content moderation, typical calls use 500 input and 100 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.