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 90% savings) 📊 Batch API
$0.020438 Total Cost
120,000 Total Tokens
3 minutes, 34.00 seconds Processing Time
561 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

DeepSeek V4 (Engram)
DeepSeekMax Context: 1,000,000 tokens
$0.27 / $1.1 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

$0.020438 Total Cost
$0.009261 Input Cost
$0.010780 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
$0.000170Cost per 1K
5,871,445Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 34s Processing Time
600 Tokens/Second
95ms Time to First Token
561 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
Apply 1.5x multiplier to output tokens (GPT-5.4, Claude 4.6)
Manual thinking tokens (billed at output rate)
🔧 Special Modes
Enable 4x Tunnel Multiplier (applied after markup)
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

$0.020438
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
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.024010 (rounded ~ 0.02) Input: $0.013230 (rounded ~ 0.01)
Output: $0.010780
Optimized Cost $0.020438 Input: $0.013230 (rounded ~ 0.01)
Output: $0.010780
Unit: $0.000000
Fees: $0.000000
Total Savings $0.003572 (rounded ~ 0.00) 14.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
30.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.013230 (rounded ~ 0.01)
  • Output Cost: $0.010780
  • Total Cost: $0.020438
  • Cost per 1K tokens: $0.000170
  • Tokens per dollar: 5,871,445 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 600 tokens per second and 95ms time to first token:

  • Processing Time: 3 minutes, 34.00 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 561 tokens/second (temperature-adjusted)

Best Use Cases

Processing billions of transaction rows for anomaly detection.

✨ 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 (rounded ~ 0.00) Best Value ↓ 83.7% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.007650 (rounded ~ 0.01) ↓ 62.6% cheaper
🥉 o4-mini Deep Research
OpenAI
 $0.038250 (rounded ~ 0.04) ↑ 87.2% more
#4 o4-mini
OpenAI
 $0.042075 (rounded ~ 0.04) ↑ 105.9% more
#5 Mistral Large 3
Mistral AI
 $0.066500 (rounded ~ 0.07) ↑ 225.4% more
#6 GPT-5.3 Codex Spark
OpenAI
 $0.101938 (rounded ~ 0.10) ↑ 398.8% more
#7 Grok 5
xAI
 $0.129750 ↑ 534.8% more
#8 Gemini 3.1 Pro
Google
 $0.193000 (rounded ~ 0.19) ↑ 844.3% more
#9 GPT-5.4 Thinking
OpenAI
 $0.241250 (rounded ~ 0.24) ↑ 1080.4% more
#10 Claude Sonnet 4.6
Anthropic
 $0.257250 (rounded ~ 0.26) ↑ 1158.7% more
#11 o3 Deep Research
OpenAI
 $0.382500 (rounded ~ 0.38) ↑ 1771.5% more
#12 Claude Opus 4.6
Anthropic
 $0.428750 (rounded ~ 0.43) ↑ 1997.8% more
#13 o3 Pro
OpenAI
 $0.765000 (rounded ~ 0.77) ↑ 3643% more
#14 GPT-5.2 Pro
OpenAI
 $1.223250 (rounded ~ 1.22) ↑ 5885.2% more
#15 GPT-5.2 Pro
OpenAI
 $1.223250 (rounded ~ 1.22) ↑ 5885.2% more
🏆

Mistral Small 3
Mistral AI

$0.003325 (rounded ~ 0.00)
vs DeepSeek V4 (Engram): ↓ 83.7%
🥈

Gemini 3.1 Flash Lite
Google

$0.007650 (rounded ~ 0.01)
vs DeepSeek V4 (Engram): ↓ 62.6%
🥉

o4-mini Deep Research
OpenAI

$0.038250 (rounded ~ 0.04)
vs DeepSeek V4 (Engram): ↑ 87.2%
#4

o4-mini
OpenAI

$0.042075 (rounded ~ 0.04)
vs DeepSeek V4 (Engram): ↑ 105.9%
#5

Mistral Large 3
Mistral AI

$0.066500 (rounded ~ 0.07)
vs DeepSeek V4 (Engram): ↑ 225.4%
#6

GPT-5.3 Codex Spark
OpenAI

$0.101938 (rounded ~ 0.10)
vs DeepSeek V4 (Engram): ↑ 398.8%
#7

Grok 5
xAI

$0.129750
vs DeepSeek V4 (Engram): ↑ 534.8%
#8

Gemini 3.1 Pro
Google

$0.193000 (rounded ~ 0.19)
vs DeepSeek V4 (Engram): ↑ 844.3%
#9

GPT-5.4 Thinking
OpenAI

$0.241250 (rounded ~ 0.24)
vs DeepSeek V4 (Engram): ↑ 1080.4%
#10

Claude Sonnet 4.6
Anthropic

$0.257250 (rounded ~ 0.26)
vs DeepSeek V4 (Engram): ↑ 1158.7%
#11

o3 Deep Research
OpenAI

$0.382500 (rounded ~ 0.38)
vs DeepSeek V4 (Engram): ↑ 1771.5%
#12

Claude Opus 4.6
Anthropic

$0.428750 (rounded ~ 0.43)
vs DeepSeek V4 (Engram): ↑ 1997.8%
#13

o3 Pro
OpenAI

$0.765000 (rounded ~ 0.77)
vs DeepSeek V4 (Engram): ↑ 3643%
#14

GPT-5.2 Pro
OpenAI

$1.223250 (rounded ~ 1.22)
vs DeepSeek V4 (Engram): ↑ 5885.2%
#15

GPT-5.2 Pro
OpenAI

$1.223250 (rounded ~ 1.22)
vs DeepSeek V4 (Engram): ↑ 5885.2%
✨ 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.