DeepSeek · Fast / Budget · 1M context window

DeepSeek Flash pricing for legal analysis

$0.003900 per call at 10,000 input / 4,000 output tokens.

Per call

$0.003900

10K calls/mo

$39

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 legal analysis spend. Prices verified daily against provider pricing pages.

Configure your usage

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

Estimated cost

Monthly cost
$39
10,000 calls/month
Cost per call$0.003900
Daily cost$1
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=4000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.003900 per call at standard rates
# Input:  $0.15/MTok
# Output: $0.60/MTok

What drives legal analysis cost

Legal work is heavy on both sides: long source documents in, detailed analysis out. It is also the case where accuracy is worth the most, so the cheapest-viable-model logic that works for classification does not apply. Long contracts frequently cross long-context pricing thresholds, which can re-rate the entire request rather than just the excess.

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 10,000/4,000 token split, output accounts for 62% of the $0.003900 per-call cost.

Complete DeepSeek Flash pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.1510,000
Output$0.604,000

Prompt caching: 98% off input tokens

Caching drops input cost from $0.15 to $0.00/MTok. For repeated system prompts, that saves $0.001470 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$0.003900$39$24.3$14.7
50,000 calls$0.003900$195$121.5$73.5
100,000 calls$0.003900$390$243$147
500,000 calls$0.003900$1,950$1,215$735
1,000,000 calls$0.003900$3,900$2,430$1,470

DeepSeek Flash quality benchmarks for legal analysis

Benchmark data for legal analysis 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 legal analysis

22 models score 80+ on legal analysis benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (74% more, 86/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs DeepSeek
GPT 5.6 LunaGPT$0.20$1.2086/100$0.00680074% more
Gemini 3.6 FlashGemini$0.75$3.7585/100$0.0225477% more
Gemini 3.7 FlashGemini$0.75$3.7588/100$0.0225477% more
Gemini 3.8 FlashGemini$0.75$3.7589/100$0.0225477% more
Claude Sonnet 5Claude$2.00$10.0089/100$0.06001438% more
GPT 5.6 TerraGPT$2.00$12.0091/100$0.06801644% more
GPT 6 SolGPT$2.00$10.0089/100$0.06001438% more
Gemini 3.1 ProGemini$2.00$12.0084/100$0.06801644% more
Grok 4.6Grok$2.00$6.0091/100$0.04401028% more
Grok 4.5Grok$2.00$6.0087/100$0.04401028% more
GPT 5.4GPT$2.50$15.0088/100$0.08502079% more
Claude Sonnet 4.6Claude$3.00$15.0085/100$0.09002208% more
Claude Opus 5.5Claude$4.00$20.0092/100$0.12002977% more
GPT 5.6 SolGPT$4.00$20.0092/100$0.12002977% more
Claude Opus 4.8Claude$5.00$25.0089/100$0.15003746% more
Claude Opus 5Claude$5.00$25.0091/100$0.15003746% more
Claude Opus 4.7Claude$5.00$25.0087/100$0.15003746% more
Claude Opus 4.6Claude$5.00$25.0089/100$0.15003746% more
GPT 5.5GPT$5.00$30.0090/100$0.17004259% more
Claude Fable 5.1Claude$10.00$50.0092/100$0.30007592% more
Claude Fable 5Claude$10.00$50.0090/100$0.30007592% more
GPT 6 AstraGPT$10.00$50.0093/100$0.30007592% 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 legal analysis per API call?

A typical legal analysis call using DeepSeek Flash costs about $0.003900 per call. This estimate uses 10,000 input tokens and 4,000 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 legal analysis?

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

What is the cheapest model for legal analysis with good quality?

The most affordable model for legal analysis 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 86/100. 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 legal analysis?

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 $0.003900 to about $0.000078 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 legal analysis 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 legal analysis, typical calls use 10,000 input and 4,000 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.