DeepSeek · Mid-tier · 128K context window

DeepSeek R1 pricing for sql generation

$0.003015 per call at 1,500 input / 1,000 output tokens.

Per call

$0.003015

10K calls/mo

$30.15

Cache savings

75% off input

Batch savings

0% off all

Calculate your DeepSeek R1 costs

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

Configure your usage

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

Estimated cost

Monthly cost
$30
10,000 calls/month
Cost per call$0.003015
Daily cost$1
Input rate$0.55/MTok
Output rate$2.19/MTok
Analyze your real spend

Quick start

Call DeepSeek R1 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-r1",
    max_tokens=1000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.003015 per call at standard rates
# Input:  $0.55/MTok
# Output: $2.19/MTok

What drives sql generation cost

The cheapest code use case on this list. A natural-language question plus a schema fits in 1.5K tokens, and the query that comes back is under 1K. That makes SQL generation a genuine candidate for a fast-tier model: the task is well-bounded, the output is short, and the quality gap between tiers narrows when there is little room to go wrong. Schema caching cuts the input side to near zero.

For DeepSeek R1 specifically, that means output tokens cost 4.0x more than input, at $2.19 vs $0.55 per MTok. At this use case’s 1,500/1,000 token split, output accounts for 73% of the $0.003015 per-call cost.

Complete DeepSeek R1 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.551,500
Output$2.191,000

Prompt caching: 75% off input tokens

Caching drops input cost from $0.55 to $0.14/MTok. For repeated system prompts, that saves $0.000615 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$0.003015$30.15$24$6.15
50,000 calls$0.003015$150.75$120.02$30.73
100,000 calls$0.003015$301.5$240.04$61.46
500,000 calls$0.003015$1,507.5$1,200.19$307.31
1,000,000 calls$0.003015$3,015$2,400.38$614.63

DeepSeek R1 quality benchmarks for sql generation

Benchmark data for sql generation is pending for DeepSeek R1. Test against your own evaluation suite before moving to production.

Benchmark data is not yet available for DeepSeek R1. We recommend testing against your own evaluation criteria.

Alternative models for sql generation

5 models score 80+ on sql generation benchmarks, sorted by input rate. Cheapest: Claude Haiku 4.5 (116% more, 72/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs DeepSeek
Claude Haiku 4.5Claude$1.00$5.0072/100$0.006500116% more
Claude Opus 5.5Claude$4.00$20.0079/100$0.0260762% more
Claude Opus 5Claude$5.00$25.0072/100$0.0325978% more
Claude Fable 5.1Claude$10.00$50.0074/100$0.06502056% more
Claude Fable 5Claude$10.00$50.0072/100$0.06502056% more

About DeepSeek R1

Provider

DeepSeek

Tier

Mid-tier

Context

128K tokens

Released

Jan 2025

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: $0.14/MTok input. No batch discount published. Reasoning model: output includes chain-of-thought tokens. Not yet benchmarked, so never recommended.

Other models from DeepSeek

ModelTierInput $/MTokOutput $/MTokContext
DeepSeek V3Mid-tier$0.27$1.10164K
DeepSeek FlashFast / Budget$0.15$0.601M
DeepSeek V4 ProFlagship$0.66$1.981M

You can compare DeepSeek R1 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 R1 cost for sql generation per API call?

A typical sql generation call using DeepSeek R1 costs about $0.003015 per call. This estimate uses 1,500 input tokens and 1,000 output tokens at standard rates. Standard rates are $0.55 per million input tokens and $2.19 per million output tokens.

Is DeepSeek R1 the best model for sql generation?

Our benchmark data does not yet include a sql generation ranking for DeepSeek R1. We recommend testing it against your own evaluation criteria before production usage.

What is the cheapest model for sql generation with good quality?

The most affordable model for sql generation above 80/100 quality is Claude Haiku 4.5. It comes from Claude at $1.00 per million input tokens. Output costs $5.00 per million tokens with a quality score of 72/100. Claude Haiku 4.5 costs more per call than DeepSeek R1 but scores higher on quality benchmarks for this task type.

How can I reduce my DeepSeek R1 costs for sql generation?

Three strategies lower DeepSeek R1 costs for this task type effectively. Prompt caching gives a 75% 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 $0.003015 to about $0.000769 per call.

How does DeepSeek R1 pricing compare to other DeepSeek models?

DeepSeek has 3 other models alongside DeepSeek R1 today: DeepSeek V3 at $0.27/$1.10 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 sql generation workload prioritizes quality, cost, or speed.

What context window does DeepSeek R1 support?

DeepSeek R1 supports a context window of 128K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For sql generation, typical calls use 1,500 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.