Source-tracked model comparison

How do GPT-4o Mini and DeepSeek V4 Flash API costs compare for structured extraction?

Compare verified pricing and model limits for low-cost structured extraction. The cost example uses a structured data extraction workload and does not assume equal model quality.

Direct cost answer: GPT-4o mini is estimated at $82.50 per month and DeepSeek V4 Flash non-thinking at $56.28 for 4,000 input tokens, 500 output tokens, and 100,000 monthly requests. DeepSeek V4 Flash non-thinking is $26.22 lower under these assumptions. This does not identify a quality winner.
medium priorityactiveSources checked 2026-07-13 / 2026-07-12
Tracked facts

Pricing and model limits

Prices are USD per 1M tokens under each model's verified default profile.

FieldGPT-4o miniDeepSeek V4 Flash non-thinking
ProviderOpenAIDeepSeek
API model IDgpt-4o-minideepseek-v4-flash
Input / 1M$0.15$0.14
Cached input / 1M$0.075$0.0028
Output / 1M$0.60$0.28
Context window128,000 tokens1,000,000 tokens
Maximum output16,384 tokens384,000 tokens
Accepted inputtext, imagetext
Example workload

Structured data extraction cost scenario

4,000 input and 500 output tokens per request, 100,000 monthly requests, and 25% cached input.

OpenAI

GPT-4o mini

$82.50 / month
Input cost
$52.50
Output cost
$30.00
Per 1,000 calls
$0.825
Pricing profile
standard
View model details
DeepSeek

DeepSeek V4 Flash non-thinking

$56.28 / month
Input cost
$42.28
Output cost
$14.00
Per 1,000 calls
$0.5628
Pricing profile
standard / cache miss
View model details

Cost result: DeepSeek V4 Flash non-thinking is $26.22 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.

StackLens assessment

Questions to answer before choosing

  • Is provider availability acceptable for the target regions?
  • Does the extraction schema work reliably on representative records?
  • How many repair calls are needed after invalid output?
Workload caveat

What this estimate leaves out

Document parsing, OCR, validation infrastructure, and failed-record handling are outside this token estimate.

Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.