DeepSeek · Fast / Budget · 1M context window

DeepSeek Flash pricing for categorization

$0.000210 per call at 800 input / 150 output tokens.

Per call

$0.000210

10K calls/mo

$2.1

Cache savings

98% off input

Batch savings

0% off all

Calculate your DeepSeek Flash costs

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

Configure your usage

800
100100K
150
5050K
10,000
1001M

Estimated cost

Monthly cost
$2
10,000 calls/month
Cost per call$0.000210
Daily cost$0.07
Input rate$0.15/MTok
Output rate$0.60/MTok
Analyze your real spend

Quick start

Call DeepSeek Flash 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-flash",
    max_tokens=150,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.000210 per call at standard rates
# Input:  $0.15/MTok
# Output: $0.60/MTok

How DeepSeek Flash compares on cost

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

Highest-quality affordable option: GPT 5.6 Luna at $0.000340/call (1.6x the cost, 91/100 quality). DeepSeek Flash is already the cheapest choice for categorization.

What drives categorization cost

Classification into a fixed taxonomy is token-efficient by construction: the taxonomy is the same on every call and the output is one label. Put the taxonomy in the cached prefix and the marginal cost per item approaches the cost of the item text alone. Model tier matters less here than in any other use case tracked.

For DeepSeek Flash specifically, that means output tokens cost 4.0x more than input, at $0.60 vs $0.15 per MTok. At this use case’s 800/150 token split, output accounts for 43% of the $0.000210 per-call cost.

Complete DeepSeek Flash pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.15800
Output$0.60150

Prompt caching: 98% off input tokens

Caching drops input cost from $0.15 to $0.00/MTok. For repeated system prompts, that saves $0.000118 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$0.000210$2.1$0.9240$1.18
50,000 calls$0.000210$10.5$4.62$5.88
100,000 calls$0.000210$21$9.24$11.76
500,000 calls$0.000210$105$46.2$58.8
1,000,000 calls$0.000210$210$92.4$117.6

DeepSeek Flash quality benchmarks for categorization

Benchmark data for categorization is pending for DeepSeek Flash. Test against your own evaluation suite before moving to production.

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

Alternative models for categorization

12 models score 80+ on categorization benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (62% more, 91/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs DeepSeek
GPT 5.6 LunaGPT$0.20$1.2091/100$0.00034062% more
Gemini 3.5 Flash-LiteGemini$0.30$2.5085/100$0.000615193% more
Gemini 3 FlashGemini$0.50$3.0088/100$0.000850305% more
Claude Haiku 4.5Claude$1.00$5.0090/100$0.001550638% more
Gemini 3.5 FlashGemini$1.50$9.0092/100$0.0025501114% more
Claude Sonnet 5Claude$2.00$10.0086/100$0.0031001376% more
GPT 5.6 TerraGPT$2.00$12.0089/100$0.0034001519% more
Gemini 3.1 ProGemini$2.00$12.0086/100$0.0034001519% more
GPT 5.4GPT$2.50$15.0088/100$0.0042501924% more
Claude Sonnet 4.6Claude$3.00$15.0084/100$0.0046502114% more
GPT 5.6 SolGPT$4.00$20.0086/100$0.0062002852% more
GPT 5.5GPT$5.00$30.0085/100$0.0085003948% more

About DeepSeek Flash

Provider

DeepSeek

Tier

Fast / Budget

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: $0.003/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 V4 ProFlagship$0.66$1.981M

You can compare DeepSeek Flash 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 Flash cost for categorization per API call?

A typical categorization call using DeepSeek Flash costs about $0.000210 per call. This estimate uses 800 input tokens and 150 output tokens at standard rates. Standard rates are $0.15 per million input tokens and $0.60 per million output tokens.

Is DeepSeek Flash the best model for categorization?

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

What is the cheapest model for categorization with good quality?

The most affordable model for categorization 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. GPT 5.6 Luna costs more per call than DeepSeek Flash but scores higher on quality benchmarks for this task type.

How can I reduce my DeepSeek Flash costs for categorization?

Three strategies lower DeepSeek Flash costs for this task type effectively. Prompt caching gives a 98% 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 $0.000210 to about $0.000004 per call.

How does DeepSeek Flash pricing compare to other DeepSeek models?

DeepSeek has 3 other models alongside DeepSeek Flash 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 V4 Pro at $0.66/$1.98 per million tokens (flagship). The right choice depends on whether your categorization workload prioritizes quality, cost, or speed.

What context window does DeepSeek Flash support?

DeepSeek Flash supports a context window of 1M tokens per API call. This sets the maximum combined length of your input prompt and generated response. For categorization, typical calls use 800 input and 150 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.