Financial Fraud Log Analysis: DeepSeek V4 (Tier 1)

Complete Analysis: 120,000 tokens for DeepSeek V4 (Engram)
⚡ 30% Cached

Complete analysis of pricing, performance, and use cases for DeepSeek's DeepSeek V4 (Engram) model with 30% Cached.

⚡ Caching Optimized (up to 98% savings)
$0.048111 (rounded ~ $0.05) Total Cost
120,000 Total Tokens
7 minutes, 8.18 seconds Processing Time
280 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Deepseek V4
DeepSeekMax Context: 1,000,000 tokens
$0.435 / $0.87 per 1M tokens
▼
▼
Use Batch API (50% discount)
30%
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

$0.048111 Total Cost
$0.030450 Input Cost
$0.017400 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
120,000Total Tokens
$0.000401Cost per 1K
2,494,232Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

7m 8s Processing Time
300 Tokens/Second
180ms Time to First Token
280 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 (Engram) DeepSeek 1000000

$0.048111 (rounded ~ $0.05)
Total Cost
⚡ 30% Cached 📊 Batch API 🔧 Tools
👁️
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) $0.060900 Input: $0.043500 (rounded ~ $0.04)
Output: $0.017400 (rounded ~ $0.02)
Optimized Cost $0.048111 (rounded ~ $0.05) Input: $0.043500 (rounded ~ $0.04)
Output: $0.017400 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.012789 (rounded ~ $0.01) 21.0% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.043500 (rounded ~ $0.04)
  • Output Cost: $0.017400 (rounded ~ $0.02)
  • Total Cost: $0.048111 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000401
  • Tokens per dollar: 2,494,232 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 300 tokens per second and 180ms time to first token:

  • Processing Time: 7 minutes, 8.18 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 280 tokens/second (temperature-adjusted)

Best Use Cases

Processing billions of transaction rows for anomaly detection.

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✨ Market Recommendations AI Model Registry

← Back to DeepSeek V4 (Engram)
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 20,000
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Tools: Enabled
Rank AI Model & Provider Total Cost vs DeepSeek V4 (Engram)
🏆 Mistral Small 3
Mistral AI
 $0.003325 Best Value ↓ 93.1% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.012063 (rounded ~ $0.01) ↓ 74.9% cheaper
🥉 Mistral Large 3
Mistral AI
 $0.016625 (rounded ~ $0.02) ↓ 65.4% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.017975 (rounded ~ $0.02) ↓ 62.6% cheaper
#5 Gemini 2.5 Flash
Google
 $0.017975 (rounded ~ $0.02) ↓ 62.6% cheaper
#6 Gemini 3.8 Flash
Google
 $0.032438 (rounded ~ $0.03) ↓ 32.6% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.036188 (rounded ~ $0.04) ↓ 24.8% cheaper
#8 o4-mini Deep Research
OpenAI
 $0.038250 (rounded ~ $0.04) ↓ 20.5% cheaper
#9 o4-mini
OpenAI
 $0.042075 (rounded ~ $0.04) ↓ 12.5% cheaper
#10 Claude Haiku 4.5
Anthropic
 $0.043250 (rounded ~ $0.04) ↓ 10.1% cheaper
#11 Gemini 3.1 Flash
Google
 $0.048250 (rounded ~ $0.05) ↑ 0.3% more
#12 GPT-5.6 Luna
OpenAI
 $0.048250 (rounded ~ $0.05) ↑ 0.3% more
#13 Gemini 3.6 Flash
Google
 $0.064875 (rounded ~ $0.06) ↑ 34.8% more
#14 Gemini 3.5 Flash
Google
 $0.072375 (rounded ~ $0.07) ↑ 50.4% more
#15 Claude Sonnet 5
Anthropic
 $0.086500 (rounded ~ $0.09) ↑ 79.8% more
#16 GPT-5.3 Codex Spark
OpenAI
 $0.101938 (rounded ~ $0.10) ↑ 111.9% more
#17 GPT-5.3 Instant
OpenAI
 $0.101938 (rounded ~ $0.10) ↑ 111.9% more
#18 Grok 4.3
xAI
 $0.113000 (rounded ~ $0.11) ↑ 134.9% more
#19 Grok 4.20 Beta
xAI
 $0.113000 (rounded ~ $0.11) ↑ 134.9% more
#20 GPT-5.6 Terra
OpenAI
 $0.120625 ↑ 150.7% more
#21 Claude Sonnet 4.6
Anthropic
 $0.129750 ↑ 169.7% more
#22 Gemini 2.5 Pro
Google
 $0.145625 (rounded ~ $0.15) ↑ 202.7% more
#23 Gemini 3.1 Pro
Google
 $0.193000 (rounded ~ $0.19) ↑ 301.2% more
#24 Claude Opus 4.7
Anthropic
 $0.216250 (rounded ~ $0.22) ↑ 349.5% more
#25 Claude Opus 5
Anthropic
 $0.216250 (rounded ~ $0.22) ↑ 349.5% more
#26 Claude Opus 4.8
Anthropic
 $0.216250 (rounded ~ $0.22) ↑ 349.5% more
#27 Claude Opus 4.6
Anthropic
 $0.216250 (rounded ~ $0.22) ↑ 349.5% more
#28 GPT-5.4
OpenAI
 $0.241250 (rounded ~ $0.24) ↑ 401.4% more
#29 GPT-5.4 Thinking
OpenAI
 $0.241250 (rounded ~ $0.24) ↑ 401.4% more
#30 GPT-5.5 Instant
OpenAI
 $0.241250 (rounded ~ $0.24) ↑ 401.4% more
#31 GPT-5.6 Sol
OpenAI
 $0.241250 (rounded ~ $0.24) ↑ 401.4% more
#32 o3 Deep Research
OpenAI
 $0.382500 (rounded ~ $0.38) ↑ 695% more
#33 Claude Fable 5.1
Anthropic
 $0.426875 (rounded ~ $0.43) ↑ 787.3% more
#34 Claude Mythos 5.1
Anthropic
 $0.426875 (rounded ~ $0.43) ↑ 787.3% more
#35 Claude Fable 5
Anthropic
 $0.432500 (rounded ~ $0.43) ↑ 799% more
#36 Claude Mythos 5
Anthropic
 $0.432500 (rounded ~ $0.43) ↑ 799% more
#37 GPT-5.5
OpenAI
 $0.482500 (rounded ~ $0.48) ↑ 902.9% more
#38 o3 Pro
OpenAI
 $0.765000 (rounded ~ $0.77) ↑ 1490.1% more
#39 GPT-6 Astra
OpenAI
 $0.865000 (rounded ~ $0.87) ↑ 1697.9% more
#40 GPT-5.2 Pro
OpenAI
 $1.223250 (rounded ~ $1.22) ↑ 2442.6% more
#41 GPT-5.2 Pro
OpenAI
 $1.223250 (rounded ~ $1.22) ↑ 2442.6% more
🏆

Mistral Small 3
Mistral AI

$0.003325
vs DeepSeek V4 (Engram): ↓ 93.1%
🥈

Gemini 3.1 Flash Lite
Google

$0.012063 (rounded ~ $0.01)
vs DeepSeek V4 (Engram): ↓ 74.9%
🥉

Mistral Large 3
Mistral AI

$0.016625 (rounded ~ $0.02)
vs DeepSeek V4 (Engram): ↓ 65.4%
#4

Gemini 3.5 Flash-Lite
Google

$0.017975 (rounded ~ $0.02)
vs DeepSeek V4 (Engram): ↓ 62.6%
#5

Gemini 2.5 Flash
Google

$0.017975 (rounded ~ $0.02)
vs DeepSeek V4 (Engram): ↓ 62.6%
#6

Gemini 3.8 Flash
Google

$0.032438 (rounded ~ $0.03)
vs DeepSeek V4 (Engram): ↓ 32.6%
#7

GPT-5.4 mini
OpenAI

$0.036188 (rounded ~ $0.04)
vs DeepSeek V4 (Engram): ↓ 24.8%
#8

o4-mini Deep Research
OpenAI

$0.038250 (rounded ~ $0.04)
vs DeepSeek V4 (Engram): ↓ 20.5%
#9

o4-mini
OpenAI

$0.042075 (rounded ~ $0.04)
vs DeepSeek V4 (Engram): ↓ 12.5%
#10

Claude Haiku 4.5
Anthropic

$0.043250 (rounded ~ $0.04)
vs DeepSeek V4 (Engram): ↓ 10.1%
#11

Gemini 3.1 Flash
Google

$0.048250 (rounded ~ $0.05)
vs DeepSeek V4 (Engram): ↑ 0.3%
#12

GPT-5.6 Luna
OpenAI

$0.048250 (rounded ~ $0.05)
vs DeepSeek V4 (Engram): ↑ 0.3%
#13

Gemini 3.6 Flash
Google

$0.064875 (rounded ~ $0.06)
vs DeepSeek V4 (Engram): ↑ 34.8%
#14

Gemini 3.5 Flash
Google

$0.072375 (rounded ~ $0.07)
vs DeepSeek V4 (Engram): ↑ 50.4%
#15

Claude Sonnet 5
Anthropic

$0.086500 (rounded ~ $0.09)
vs DeepSeek V4 (Engram): ↑ 79.8%
#16

GPT-5.3 Codex Spark
OpenAI

$0.101938 (rounded ~ $0.10)
vs DeepSeek V4 (Engram): ↑ 111.9%
#17

GPT-5.3 Instant
OpenAI

$0.101938 (rounded ~ $0.10)
vs DeepSeek V4 (Engram): ↑ 111.9%
#18

Grok 4.3
xAI

$0.113000 (rounded ~ $0.11)
vs DeepSeek V4 (Engram): ↑ 134.9%
#19

Grok 4.20 Beta
xAI

$0.113000 (rounded ~ $0.11)
vs DeepSeek V4 (Engram): ↑ 134.9%
#20

GPT-5.6 Terra
OpenAI

$0.120625
vs DeepSeek V4 (Engram): ↑ 150.7%
#21

Claude Sonnet 4.6
Anthropic

$0.129750
vs DeepSeek V4 (Engram): ↑ 169.7%
#22

Gemini 2.5 Pro
Google

$0.145625 (rounded ~ $0.15)
vs DeepSeek V4 (Engram): ↑ 202.7%
#23

Gemini 3.1 Pro
Google

$0.193000 (rounded ~ $0.19)
vs DeepSeek V4 (Engram): ↑ 301.2%
#24

Claude Opus 4.7
Anthropic

$0.216250 (rounded ~ $0.22)
vs DeepSeek V4 (Engram): ↑ 349.5%
#25

Claude Opus 5
Anthropic

$0.216250 (rounded ~ $0.22)
vs DeepSeek V4 (Engram): ↑ 349.5%
#26

Claude Opus 4.8
Anthropic

$0.216250 (rounded ~ $0.22)
vs DeepSeek V4 (Engram): ↑ 349.5%
#27

Claude Opus 4.6
Anthropic

$0.216250 (rounded ~ $0.22)
vs DeepSeek V4 (Engram): ↑ 349.5%
#28

GPT-5.4
OpenAI

$0.241250 (rounded ~ $0.24)
vs DeepSeek V4 (Engram): ↑ 401.4%
#29

GPT-5.4 Thinking
OpenAI

$0.241250 (rounded ~ $0.24)
vs DeepSeek V4 (Engram): ↑ 401.4%
#30

GPT-5.5 Instant
OpenAI

$0.241250 (rounded ~ $0.24)
vs DeepSeek V4 (Engram): ↑ 401.4%
#31

GPT-5.6 Sol
OpenAI

$0.241250 (rounded ~ $0.24)
vs DeepSeek V4 (Engram): ↑ 401.4%
#32

o3 Deep Research
OpenAI

$0.382500 (rounded ~ $0.38)
vs DeepSeek V4 (Engram): ↑ 695%
#33

Claude Fable 5.1
Anthropic

$0.426875 (rounded ~ $0.43)
vs DeepSeek V4 (Engram): ↑ 787.3%
#34

Claude Mythos 5.1
Anthropic

$0.426875 (rounded ~ $0.43)
vs DeepSeek V4 (Engram): ↑ 787.3%
#35

Claude Fable 5
Anthropic

$0.432500 (rounded ~ $0.43)
vs DeepSeek V4 (Engram): ↑ 799%
#36

Claude Mythos 5
Anthropic

$0.432500 (rounded ~ $0.43)
vs DeepSeek V4 (Engram): ↑ 799%
#37

GPT-5.5
OpenAI

$0.482500 (rounded ~ $0.48)
vs DeepSeek V4 (Engram): ↑ 902.9%
#38

o3 Pro
OpenAI

$0.765000 (rounded ~ $0.77)
vs DeepSeek V4 (Engram): ↑ 1490.1%
#39

GPT-6 Astra
OpenAI

$0.865000 (rounded ~ $0.87)
vs DeepSeek V4 (Engram): ↑ 1697.9%
#40

GPT-5.2 Pro
OpenAI

$1.223250 (rounded ~ $1.22)
vs DeepSeek V4 (Engram): ↑ 2442.6%
#41

GPT-5.2 Pro
OpenAI

$1.223250 (rounded ~ $1.22)
vs DeepSeek V4 (Engram): ↑ 2442.6%
✨ 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.

Processing billions of transaction rows for anomaly detection.

Estimate the operational costs for 2026 enterprise AI deployments using latest tokenomics.

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.