DeepSeek V4 Flash: Efficient Text Processing for 200,000 Tokens

Complete Analysis: 205,000 tokens for DeepSeek V4 Flash
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for DeepSeek's DeepSeek V4 Flash model with 50% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.016800 (rounded ~ $0.02) Total Cost
205,000 Total Tokens
5 minutes, 37.64 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
$0.14 / $0.28 per 1M tokens
▼
▼
Use Batch API (50% discount)
50%
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

$0.016800 Total Cost
$0.014000 Input Cost
$0.001400 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
205,000Total Tokens
$0.000082Cost per 1K
12,202,381Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

5m 37s 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
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing

DeepSeek V4 Flash DeepSeek 1000000

$0.016800 (rounded ~ $0.02)
Total Cost
⚡ 50% 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
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.029400 Input: $0.028000 (rounded ~ $0.03)
Output: $0.001400
Optimized Cost $0.016800 (rounded ~ $0.02) Input: $0.028000 (rounded ~ $0.03)
Output: $0.001400
Unit: $0.000000
Fees: $0.000000
Total Savings $0.012600 (rounded ~ $0.01) 42.9% discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.028000 (rounded ~ $0.03)
  • Output Cost: $0.001400
  • Total Cost: $0.016800 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.000082
  • Tokens per dollar: 12,202,381 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: 5 minutes, 37.64 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 650 tokens/second
  • Effective Throughput: 607 tokens/second (temperature-adjusted)

Best Use Cases

An economical choice for processing large volumes of text extracted from digitized archivesideal for summarizationanalysisand knowledge extraction tasks where cost-efficiency is key.

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✨ Market Recommendations AI Model Registry

← Back to DeepSeek V4 Flash
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Rank AI Model & Provider Total Cost vs DeepSeek V4 Flash
🏆 Devstral Small 2
Mistral AI
 $0.003125 Best Value ↓ 81.4% cheaper
🥈 Grok 4.1 Fast
xAI
 $0.006125 (rounded ~ $0.01) ↓ 63.5% cheaper
🥉 Grok Code Fast 1
xAI
 $0.007375 (rounded ~ $0.01) ↓ 56.1% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.008750 (rounded ~ $0.01) ↓ 47.9% cheaper
#5 Nemotron 3 Super
Mistral AI
 $0.009275 ↓ 44.8% cheaper
#6 Gemini 2.5 Flash
Google
 $0.011375 (rounded ~ $0.01) ↓ 32.3% cheaper
#7 Devstral 2
Mistral AI
 $0.012125 (rounded ~ $0.01) ↓ 27.8% cheaper
#8 Mistral Large 3
Mistral AI
 $0.015625 (rounded ~ $0.02) ↓ 7% cheaper
#9 GPT-5.4 mini
OpenAI
 $0.026250 (rounded ~ $0.03) ↑ 56.3% more
#10 Claude Haiku 4.5
Anthropic
 $0.033750 (rounded ~ $0.03) ↑ 100.9% more
#11 Grok 4.20 Beta
xAI
 $0.062500 (rounded ~ $0.06) ↑ 272% more
#12 GPT-5.2
OpenAI
 $0.065625 (rounded ~ $0.07) ↑ 290.6% more
#13 Gemini 3.1 Flash
Google
 $0.070000 ↑ 316.7% more
#14 Claude Sonnet 4.6
Anthropic
 $0.101250 (rounded ~ $0.10) ↑ 502.7% more
#15 Grok 4
xAI
 $0.101250 (rounded ~ $0.10) ↑ 502.7% more
#16 Grok 4.1
xAI
 $0.101250 (rounded ~ $0.10) ↑ 502.7% more
#17 Claude Opus 4.7
Anthropic
 $0.168750 (rounded ~ $0.17) ↑ 904.5% more
#18 Claude Opus 4.6
Anthropic
 $0.168750 (rounded ~ $0.17) ↑ 904.5% more
#19 GPT-5.4
OpenAI
 $0.175000 (rounded ~ $0.18) ↑ 941.7% more
#20 GPT-5.4 Thinking
OpenAI
 $0.175000 (rounded ~ $0.18) ↑ 941.7% more
#21 Gemini 2.5 Pro
Google
 $0.175000 (rounded ~ $0.18) ↑ 941.7% more
#22 GPT-5.5 Instant
OpenAI
 $0.175000 (rounded ~ $0.18) ↑ 941.7% more
#23 Gemini 3.1 Pro
Google
 $0.265000 (rounded ~ $0.27) ↑ 1477.4% more
#24 GPT-5.5
OpenAI
 $0.662500 (rounded ~ $0.66) ↑ 3843.5% more
#25 GPT-5.5
OpenAI
 $0.662500 (rounded ~ $0.66) ↑ 3843.5% more
🏆

Devstral Small 2
Mistral AI

$0.003125
vs DeepSeek V4 Flash: ↓ 81.4%
🥈

Grok 4.1 Fast
xAI

$0.006125 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 63.5%
🥉

Grok Code Fast 1
xAI

$0.007375 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 56.1%
#4

Gemini 3.1 Flash Lite
Google

$0.008750 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 47.9%
#5

Nemotron 3 Super
Mistral AI

$0.009275
vs DeepSeek V4 Flash: ↓ 44.8%
#6

Gemini 2.5 Flash
Google

$0.011375 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 32.3%
#7

Devstral 2
Mistral AI

$0.012125 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 27.8%
#8

Mistral Large 3
Mistral AI

$0.015625 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↓ 7%
#9

GPT-5.4 mini
OpenAI

$0.026250 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 56.3%
#10

Claude Haiku 4.5
Anthropic

$0.033750 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 100.9%
#11

Grok 4.20 Beta
xAI

$0.062500 (rounded ~ $0.06)
vs DeepSeek V4 Flash: ↑ 272%
#12

GPT-5.2
OpenAI

$0.065625 (rounded ~ $0.07)
vs DeepSeek V4 Flash: ↑ 290.6%
#13

Gemini 3.1 Flash
Google

$0.070000
vs DeepSeek V4 Flash: ↑ 316.7%
#14

Claude Sonnet 4.6
Anthropic

$0.101250 (rounded ~ $0.10)
vs DeepSeek V4 Flash: ↑ 502.7%
#15

Grok 4
xAI

$0.101250 (rounded ~ $0.10)
vs DeepSeek V4 Flash: ↑ 502.7%
#16

Grok 4.1
xAI

$0.101250 (rounded ~ $0.10)
vs DeepSeek V4 Flash: ↑ 502.7%
#17

Claude Opus 4.7
Anthropic

$0.168750 (rounded ~ $0.17)
vs DeepSeek V4 Flash: ↑ 904.5%
#18

Claude Opus 4.6
Anthropic

$0.168750 (rounded ~ $0.17)
vs DeepSeek V4 Flash: ↑ 904.5%
#19

GPT-5.4
OpenAI

$0.175000 (rounded ~ $0.18)
vs DeepSeek V4 Flash: ↑ 941.7%
#20

GPT-5.4 Thinking
OpenAI

$0.175000 (rounded ~ $0.18)
vs DeepSeek V4 Flash: ↑ 941.7%
#21

Gemini 2.5 Pro
Google

$0.175000 (rounded ~ $0.18)
vs DeepSeek V4 Flash: ↑ 941.7%
#22

GPT-5.5 Instant
OpenAI

$0.175000 (rounded ~ $0.18)
vs DeepSeek V4 Flash: ↑ 941.7%
#23

Gemini 3.1 Pro
Google

$0.265000 (rounded ~ $0.27)
vs DeepSeek V4 Flash: ↑ 1477.4%
#24

GPT-5.5
OpenAI

$0.662500 (rounded ~ $0.66)
vs DeepSeek V4 Flash: ↑ 3843.5%
#25

GPT-5.5
OpenAI

$0.662500 (rounded ~ $0.66)
vs DeepSeek V4 Flash: ↑ 3843.5%
✨ 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.

For academic researchers who have already digitized their legacy archives and now need to process vast amounts of text, DeepSeek V4 Flash presents an economical and highly efficient option. While not an OCR model itself, its strength lies in its ability to handle large volumes of text data rapidly and affordably, making it ideal for tasks such as summarizing extracted content, performing keyword analysis, or feeding into knowledge graphs. Its architecture is optimized for long contexts and reduced computational cost, allowing researchers to analyze substantial datasets derived from archives without incurring prohibitive expenses. When dealing with text derived from thousands of pages, the cost-effectiveness of models like DeepSeek V4 Flash becomes a critical factor in enabling scalable research and analysis of historical documents.

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.