DeepSeek V4 Flash Cost for 5,000-Item Ecommerce Product Catalogs

DeepSeek V4 Flash is no longer available

This model is deprecated. It may still respond for existing integrations, but it is no longer recommended for new work, and the figures below are retained as a historical record.

See current model pricing →

Complete Analysis: 1,300 tokens for DeepSeek V4 Flash
⚡ 10% Cached

Complete analysis of pricing, performance, and use cases for DeepSeek's DeepSeek V4 Flash model with 10% Cached.

⚡ Caching Optimized (up to 98% savings)
$0.000548 Total Cost
1,300 Total Tokens
2.32 seconds Processing Time
607 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

DeepSeek V4 Flash

DeepSeekMax Context: 1,000,000 tokens
$0.15 / $0.6 per 1M tokens
10%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.

Calculate Token Costs

$0.000548 Total Cost
$0.000068 Input Cost
$0.000480 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,300Total Tokens
$0.000421Cost per 1K
2,373,779Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

2.32s Processing Time
650 Tokens/Second
95ms Time to First Token
607 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization

Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after

🧠 Reasoning & Thinking

Manual thinking tokens (billed at output rate)

🔧 Special Modes

📚 Research & Citations

Fee per source cited

🎤 Realtime Audio & Video

Session length for billing

DeepSeek V4 Flash DeepSeek 1000000

$0.000548
Total Cost
⚡ 10% Cached 📊 Batch API
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✓ Available
98% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.000555 Input: $0.000075
Output: $0.000480
Optimized Cost $0.000548 Input: $0.000075
Output: $0.000480
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000007 1.3% discount

Detailed Cost Analysis (from Plugin)

For 500 input tokens and 800 output tokens:

  • Input Cost: $0.000075
  • Output Cost: $0.000480
  • Total Cost: $0.000548
  • Cost per 1K tokens: $0.000421
  • Tokens per dollar: 2,373,779 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 650 tokens per second and 95ms time to first token:

  • Processing Time: 2.32 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 650 tokens/second
  • Effective Throughput: 607 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volumecost-sensitive product description generation where consistent quality and low cost are prioritized.

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✨ Market Recommendations AI Model Registry

← Back to DeepSeek V4 Flash
📋 Active Input Parameters
Input Tokens: 500
Output Tokens: 800
Batch API: Enabled (50% discount)
Cached Tokens: 10%
Rank AI Model & Provider Total Cost vs DeepSeek V4 Flash
🏆 Ministral 3 (14B)
Mistral AI
 $0.000063 Best Value ↓ 88.5% cheaper
🥈 Voxtral Small 24B
Mistral AI
 $0.000071 ↓ 87% cheaper
🥉 Nemotron 3 Super
NVIDIA
 $0.000198 ↓ 63.8% cheaper
#4 Claude Haiku 5.5
Anthropic
 $0.000223 ↓ 59.3% cheaper
#5 GPT-6 Luna
OpenAI
 $0.000223 ↓ 59.3% cheaper
#6 GPT-5.6 Luna
OpenAI
 $0.000263 ↓ 52% cheaper
#7 Gemini 3.1 Flash Lite
Google
 $0.000328 ↓ 40% cheaper
#8 Mistral Large 3
Mistral AI
 $0.000357 ↓ 34.8% cheaper
#9 Gemini 3.5 Flash-Lite
Google
 $0.000534 ↓ 2.5% cheaper
#10 Gemini 2.5 Flash
Google
 $0.000534 ↓ 2.5% cheaper
#11 Gemini 3.8 Flash
Google
 $0.000835 ↑ 52.5% more
#12 Gemini 3.6 Flash
Google
 $0.000835 ↑ 52.5% more
#13 GPT-5.4 mini
OpenAI
 $0.000985 ↑ 79.9% more
#14 Mistral Large 4
Mistral AI
 $0.000991 ↑ 80.9% more
#15 Claude Haiku 4.5
Anthropic
 $0.001114 ↑ 103.4% more
#16 Gemini 3.1 Flash
Google
 $0.001314 ↑ 139.9% more
#17 Grok 4.3
xAI
 $0.002055 ↑ 275.2% more
#18 Grok 4.20 Beta
xAI
 $0.002055 ↑ 275.2% more
#19 Claude Sonnet 5.5
Anthropic
 $0.002226 ↑ 306.5% more
#20 Claude Sonnet 5
Anthropic
 $0.002228 ↑ 306.7% more
#21 Gemini 4 Argon
Google
 $0.002228 ↑ 306.7% more
#22 GPT-5.6 Terra
OpenAI
 $0.002628 ↑ 379.8% more
#23 GPT-5.3 Codex Spark
OpenAI
 $0.002999 ↑ 447.6% more
#24 GPT-5.3 Instant
OpenAI
 $0.002999 ↑ 447.6% more
#25 Claude Sonnet 4.6
Anthropic
 $0.003341 ↑ 510.1% more
#26 Gemini 2.5 Pro
Google
 $0.004284 ↑ 682.3% more
#27 Claude Opus 5.5
Anthropic
 $0.004453 ↑ 713% more
#28 GPT-6.1 Sol
OpenAI
 $0.004455 ↑ 713.5% more
#29 GPT-6 Sol
OpenAI
 $0.004455 ↑ 713.5% more
#30 GPT-5.6 Sol
OpenAI
 $0.004455 ↑ 713.5% more
#31 Gemini 3.1 Pro
Google
 $0.005255 (rounded ~ $0.01) ↑ 859.6% more
#32 Claude Opus 4.7
Anthropic
 $0.005569 (rounded ~ $0.01) ↑ 916.8% more
#33 Claude Opus 5
Anthropic
 $0.005569 (rounded ~ $0.01) ↑ 916.8% more
#34 Claude Opus 4.8
Anthropic
 $0.005569 (rounded ~ $0.01) ↑ 916.8% more
#35 Claude Opus 4.6
Anthropic
 $0.005569 (rounded ~ $0.01) ↑ 916.8% more
#36 GPT-5.4
OpenAI
 $0.006569 (rounded ~ $0.01) ↑ 1099.4% more
#37 GPT-5.4 Thinking
OpenAI
 $0.006569 (rounded ~ $0.01) ↑ 1099.4% more
#38 GPT-5.5 Instant
OpenAI
 $0.006569 (rounded ~ $0.01) ↑ 1099.4% more
#39 Claude Fable 5.1
Anthropic
 $0.011128 (rounded ~ $0.01) ↑ 1932% more
#40 Claude Mythos 5.1
Anthropic
 $0.011128 (rounded ~ $0.01) ↑ 1932% more
#41 Claude Fable 5
Anthropic
 $0.011138 (rounded ~ $0.01) ↑ 1933.7% more
#42 Claude Mythos 5
Anthropic
 $0.011138 (rounded ~ $0.01) ↑ 1933.7% more
#43 GPT-5.5
OpenAI
 $0.013138 (rounded ~ $0.01) ↑ 2298.9% more
#44 GPT-6 Astra
OpenAI
 $0.022275 (rounded ~ $0.02) ↑ 3967.4% more
#45 GPT-5.2 Pro
OpenAI
 $0.035989 (rounded ~ $0.04) ↑ 6471.5% more
#46 GPT-5.2 Pro
OpenAI
 $0.035989 (rounded ~ $0.04) ↑ 6471.5% more
🏆

Ministral 3 (14B)
Mistral AI

$0.000063
vs DeepSeek V4 Flash: ↓ 88.5%
🥈

Voxtral Small 24B
Mistral AI

$0.000071
vs DeepSeek V4 Flash: ↓ 87%
🥉

Nemotron 3 Super
NVIDIA

$0.000198
vs DeepSeek V4 Flash: ↓ 63.8%
#4

Claude Haiku 5.5
Anthropic

$0.000223
vs DeepSeek V4 Flash: ↓ 59.3%
#5

GPT-6 Luna
OpenAI

$0.000223
vs DeepSeek V4 Flash: ↓ 59.3%
#6

GPT-5.6 Luna
OpenAI

$0.000263
vs DeepSeek V4 Flash: ↓ 52%
#7

Gemini 3.1 Flash Lite
Google

$0.000328
vs DeepSeek V4 Flash: ↓ 40%
#8

Mistral Large 3
Mistral AI

$0.000357
vs DeepSeek V4 Flash: ↓ 34.8%
#9

Gemini 3.5 Flash-Lite
Google

$0.000534
vs DeepSeek V4 Flash: ↓ 2.5%
#10

Gemini 2.5 Flash
Google

$0.000534
vs DeepSeek V4 Flash: ↓ 2.5%
#11

Gemini 3.8 Flash
Google

$0.000835
vs DeepSeek V4 Flash: ↑ 52.5%
#12

Gemini 3.6 Flash
Google

$0.000835
vs DeepSeek V4 Flash: ↑ 52.5%
#13

GPT-5.4 mini
OpenAI

$0.000985
vs DeepSeek V4 Flash: ↑ 79.9%
#14

Mistral Large 4
Mistral AI

$0.000991
vs DeepSeek V4 Flash: ↑ 80.9%
#15

Claude Haiku 4.5
Anthropic

$0.001114
vs DeepSeek V4 Flash: ↑ 103.4%
#16

Gemini 3.1 Flash
Google

$0.001314
vs DeepSeek V4 Flash: ↑ 139.9%
#17

Grok 4.3
xAI

$0.002055
vs DeepSeek V4 Flash: ↑ 275.2%
#18

Grok 4.20 Beta
xAI

$0.002055
vs DeepSeek V4 Flash: ↑ 275.2%
#19

Claude Sonnet 5.5
Anthropic

$0.002226
vs DeepSeek V4 Flash: ↑ 306.5%
#20

Claude Sonnet 5
Anthropic

$0.002228
vs DeepSeek V4 Flash: ↑ 306.7%
#21

Gemini 4 Argon
Google

$0.002228
vs DeepSeek V4 Flash: ↑ 306.7%
#22

GPT-5.6 Terra
OpenAI

$0.002628
vs DeepSeek V4 Flash: ↑ 379.8%
#23

GPT-5.3 Codex Spark
OpenAI

$0.002999
vs DeepSeek V4 Flash: ↑ 447.6%
#24

GPT-5.3 Instant
OpenAI

$0.002999
vs DeepSeek V4 Flash: ↑ 447.6%
#25

Claude Sonnet 4.6
Anthropic

$0.003341
vs DeepSeek V4 Flash: ↑ 510.1%
#26

Gemini 2.5 Pro
Google

$0.004284
vs DeepSeek V4 Flash: ↑ 682.3%
#27

Claude Opus 5.5
Anthropic

$0.004453
vs DeepSeek V4 Flash: ↑ 713%
#28

GPT-6.1 Sol
OpenAI

$0.004455
vs DeepSeek V4 Flash: ↑ 713.5%
#29

GPT-6 Sol
OpenAI

$0.004455
vs DeepSeek V4 Flash: ↑ 713.5%
#30

GPT-5.6 Sol
OpenAI

$0.004455
vs DeepSeek V4 Flash: ↑ 713.5%
#31

Gemini 3.1 Pro
Google

$0.005255 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 859.6%
#32

Claude Opus 4.7
Anthropic

$0.005569 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 916.8%
#33

Claude Opus 5
Anthropic

$0.005569 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 916.8%
#34

Claude Opus 4.8
Anthropic

$0.005569 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 916.8%
#35

Claude Opus 4.6
Anthropic

$0.005569 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 916.8%
#36

GPT-5.4
OpenAI

$0.006569 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1099.4%
#37

GPT-5.4 Thinking
OpenAI

$0.006569 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1099.4%
#38

GPT-5.5 Instant
OpenAI

$0.006569 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1099.4%
#39

Claude Fable 5.1
Anthropic

$0.011128 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1932%
#40

Claude Mythos 5.1
Anthropic

$0.011128 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1932%
#41

Claude Fable 5
Anthropic

$0.011138 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1933.7%
#42

Claude Mythos 5
Anthropic

$0.011138 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1933.7%
#43

GPT-5.5
OpenAI

$0.013138 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 2298.9%
#44

GPT-6 Astra
OpenAI

$0.022275 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 3967.4%
#45

GPT-5.2 Pro
OpenAI

$0.035989 (rounded ~ $0.04)
vs DeepSeek V4 Flash: ↑ 6471.5%
#46

GPT-5.2 Pro
OpenAI

$0.035989 (rounded ~ $0.04)
vs DeepSeek V4 Flash: ↑ 6471.5%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

When scaling a SaaS product, managing costs for repetitive tasks like product description generation is critical for maintaining healthy margins. For a solo founder, the goal is to balance output quality with operational overhead. DeepSeek V4 Flash offers a highly optimized path for high-volume text generation, particularly when tasks are well-defined and follow a consistent structure. Its architecture is specifically tuned to handle massive throughput without the premium price tag often associated with larger, more generalized models.

For 5,000-item catalogs, batch processing efficiency becomes the primary lever for cost reduction. DeepSeek V4 Flash allows for structured, predictable token consumption, which is ideal when you have a defined template for your product descriptions. Unlike larger, more reasoning-heavy models that might add latency and unnecessary cost for straightforward descriptive tasks, this model provides a streamlined performance profile that keeps infrastructure spend predictable.

Choosing this model is particularly effective when your product descriptions follow a consistent pattern or require minimal creative variance. By leveraging the model’s efficient token usage, you can maintain profitability even as your catalog expands, ensuring that your AI infrastructure supports growth rather than hindering it. It is a strategic choice for founders who need to move quickly with an MVP and prioritize cost-efficiency from day one without sacrificing the ability to scale up later. This approach ensures your budget remains focused on product development rather than consumption overhead.

Frequently Asked Questions

How accurate are these AI model cost calculations?
Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, Perplexity, DeepSeek, Mistral) and are updated regularly. We account for all factors including multimodal inputs, caching discounts, batch API pricing, tool usage multipliers, OCR processing, audio minutes, silence fees, and research mode pricing. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider pricing.
How does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
How do Market Recommendations work (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider pricing.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.

Related model pricing

DeepSeek V4 Flash currently costs $0.15 / $0.60 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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