DeepSeek · Fast / Budget · 1M context window

DeepSeek Flash pricing for rag pipeline

$0.001800 per call at 6,000 input / 1,500 output tokens.

Per call

$0.001800

10K calls/mo

$18

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 rag pipeline spend. Prices verified daily against provider pricing pages.

Configure your usage

6,000
100100K
1,500
5050K
10,000
1001M

Estimated cost

Monthly cost
$18
10,000 calls/month
Cost per call$0.001800
Daily cost$0.60
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=1500,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.001800 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 rag pipeline benchmarks. Hover for details.

Highest-quality affordable option: GPT 5.6 Luna at $0.003000/call (1.7x the cost, 85/100 quality). DeepSeek Flash is already the cheapest choice for rag pipeline.

What drives rag pipeline cost

Retrieval-augmented calls are dominated by the retrieved passages, not the question. Retrieving eight chunks instead of three roughly triples input cost for an answer that is often no better, so retrieval tuning is cost tuning. The system prompt and instructions are identical on every call, which makes cache reads the first thing to enable.

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 6,000/1,500 token split, output accounts for 50% of the $0.001800 per-call cost.

Complete DeepSeek Flash pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.156,000
Output$0.601,500

Prompt caching: 98% off input tokens

Caching drops input cost from $0.15 to $0.00/MTok. For repeated system prompts, that saves $0.000882 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$0.001800$18$9.18$8.82
50,000 calls$0.001800$90$45.9$44.1
100,000 calls$0.001800$180$91.8$88.2
500,000 calls$0.001800$900$459$441
1,000,000 calls$0.001800$1,800$918$882

DeepSeek Flash quality benchmarks for rag pipeline

Benchmark data for rag pipeline 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 rag pipeline

12 models score 80+ on rag pipeline benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (67% more, 85/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs DeepSeek
GPT 5.6 LunaGPT$0.20$1.2085/100$0.00300067% more
Claude Haiku 4.5Claude$1.00$5.0086/100$0.0135650% more
Gemini 3.5 FlashGemini$1.50$9.0084/100$0.02251150% more
Claude Sonnet 5Claude$2.00$10.0089/100$0.02701400% more
GPT 5.6 TerraGPT$2.00$12.0092/100$0.03001567% more
Gemini 3.1 ProGemini$2.00$12.0087/100$0.03001567% more
GPT 5.4GPT$2.50$15.0091/100$0.03751983% more
Claude Sonnet 4.6Claude$3.00$15.0088/100$0.04052150% more
GPT 5.6 SolGPT$4.00$20.0091/100$0.05402900% more
Claude Opus 4.8Claude$5.00$25.0085/100$0.06753650% more
GPT 5.5GPT$5.00$30.0090/100$0.07504067% more
Claude Fable 5Claude$10.00$50.0088/100$0.13507400% 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 rag pipeline per API call?

A typical rag pipeline call using DeepSeek Flash costs about $0.001800 per call. This estimate uses 6,000 input tokens and 1,500 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 rag pipeline?

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

What is the cheapest model for rag pipeline with good quality?

The most affordable model for rag pipeline 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 85/100. 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 rag pipeline?

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 $0.001800 to about $0.000036 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 rag pipeline 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 rag pipeline, typical calls use 6,000 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.