DeepSeek V4 (Engram) for Visual Financial Analysis Price

Complete Analysis: 11,000 tokens for DeepSeek V4 (Engram)

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

$0.005220 (rounded ~ $0.01) Total Cost
11,000 Total Tokens
37.58 seconds Processing Time
294 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)
0%
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

$0.004350 Input Cost
$0.000870 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
11,000Total Tokens
$0.000475Cost per 1K
2,107,280Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

37.58s Processing Time
300 Tokens/Second
180ms Time to First Token
294 Effective Speed

Model Comparison

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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

$0.005220 (rounded ~ $0.01)
Total Cost
📊 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
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.005220 (rounded ~ $0.01) Input: $0.004350
Output: $0.000870
Optimized Cost $0.005220 (rounded ~ $0.01) Input: $0.004350
Output: $0.000870
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.004350
  • Output Cost: $0.000870
  • Total Cost: $0.005220 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000475
  • Tokens per dollar: 2,107,280 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: 37.58 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 294 tokens/second (temperature-adjusted)

Best Use Cases

Technical AnalysisQuant ResearchChart Pattern Recognition

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✨ Market Recommendations AI Model Registry

← Back to DeepSeek V4 (Engram)
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Tools: Enabled
Rank AI Model & Provider Total Cost vs DeepSeek V4 (Engram)
🏆 Mistral Small 3
Mistral AI
$0.000325 Best Value ↓ 93.8% cheaper
🥈 Grok Code Fast 1
xAI
$0.000875 ↓ 83.2% cheaper
🥉 Gemini 3.1 Flash Lite
Google
$0.001000 ↓ 80.8% cheaper
#4 Gemini 2.5 Flash
Google
$0.001375 ↓ 73.7% cheaper
#5 Mistral Large 3
Mistral AI
$0.001625 ↓ 68.9% cheaper
#6 Llama 4 Maverick (400B)
Meta AI
$0.002100 ↓ 59.8% cheaper
#7 GPT-5.4 mini
OpenAI
$0.003000 ↓ 42.5% cheaper
#8 o4-mini Deep Research
OpenAI
$0.003500 ↓ 33% cheaper
#9 Claude Haiku 4.5
Anthropic
$0.003750 ↓ 28.2% cheaper
#10 Grok 4.3
xAI
$0.003750 ↓ 28.2% cheaper
#11 o4-mini
OpenAI
$0.003850 ↓ 26.2% cheaper
#12 Gemini 3.1 Flash
Google
$0.004000 ↓ 23.4% cheaper
#13 Gemini 3.5 Flash
Google
$0.006000 (rounded ~ $0.01) ↑ 14.9% more
#14 Grok 4.20 Beta
xAI
$0.006500 (rounded ~ $0.01) ↑ 24.5% more
#15 GPT-5.3 Codex Spark
OpenAI
$0.007875 (rounded ~ $0.01) ↑ 50.9% more
#16 GPT-5.3 Instant
OpenAI
$0.007875 (rounded ~ $0.01) ↑ 50.9% more
#17 Claude Sonnet 4.6
Anthropic
$0.011250 (rounded ~ $0.01) ↑ 115.5% more
#18 Gemini 2.5 Pro
Google
$0.011250 (rounded ~ $0.01) ↑ 115.5% more
#19 Gemini 3.1 Pro
Google
$0.016000 (rounded ~ $0.02) ↑ 206.5% more
#20 Claude Opus 4.7
Anthropic
$0.018750 (rounded ~ $0.02) ↑ 259.2% more
#21 Claude Opus 4.8
Anthropic
$0.018750 (rounded ~ $0.02) ↑ 259.2% more
#22 Claude Opus 4.6
Anthropic
$0.018750 (rounded ~ $0.02) ↑ 259.2% more
#23 GPT-5.4
OpenAI
$0.020000 ↑ 283.1% more
#24 GPT-5.4 Thinking
OpenAI
$0.020000 ↑ 283.1% more
#25 GPT-5.5 Instant
OpenAI
$0.020000 ↑ 283.1% more
#26 o3 Deep Research
OpenAI
$0.035000 (rounded ~ $0.04) ↑ 570.5% more
#27 GPT-5.5
OpenAI
$0.040000 ↑ 666.3% more
#28 o3 Pro
OpenAI
$0.070000 ↑ 1241% more
#29 GPT-5.2 Pro
OpenAI
$0.094500 (rounded ~ $0.09) ↑ 1710.3% more
#30 GPT-5.5 Pro
OpenAI
$0.120000 ↑ 2198.9% more
#31 GPT-5.5 Pro
OpenAI
$0.120000 ↑ 2198.9% more
🏆

Mistral Small 3
Mistral AI

$0.000325
vs DeepSeek V4 (Engram): ↓ 93.8%
🥈

Grok Code Fast 1
xAI

$0.000875
vs DeepSeek V4 (Engram): ↓ 83.2%
🥉

Gemini 3.1 Flash Lite
Google

$0.001000
vs DeepSeek V4 (Engram): ↓ 80.8%
#4

Gemini 2.5 Flash
Google

$0.001375
vs DeepSeek V4 (Engram): ↓ 73.7%
#5

Mistral Large 3
Mistral AI

$0.001625
vs DeepSeek V4 (Engram): ↓ 68.9%
#6

Llama 4 Maverick (400B)
Meta AI

$0.002100
vs DeepSeek V4 (Engram): ↓ 59.8%
#7

GPT-5.4 mini
OpenAI

$0.003000
vs DeepSeek V4 (Engram): ↓ 42.5%
#8

o4-mini Deep Research
OpenAI

$0.003500
vs DeepSeek V4 (Engram): ↓ 33%
#9

Claude Haiku 4.5
Anthropic

$0.003750
vs DeepSeek V4 (Engram): ↓ 28.2%
#10

Grok 4.3
xAI

$0.003750
vs DeepSeek V4 (Engram): ↓ 28.2%
#11

o4-mini
OpenAI

$0.003850
vs DeepSeek V4 (Engram): ↓ 26.2%
#12

Gemini 3.1 Flash
Google

$0.004000
vs DeepSeek V4 (Engram): ↓ 23.4%
#13

Gemini 3.5 Flash
Google

$0.006000 (rounded ~ $0.01)
vs DeepSeek V4 (Engram): ↑ 14.9%
#14

Grok 4.20 Beta
xAI

$0.006500 (rounded ~ $0.01)
vs DeepSeek V4 (Engram): ↑ 24.5%
#15

GPT-5.3 Codex Spark
OpenAI

$0.007875 (rounded ~ $0.01)
vs DeepSeek V4 (Engram): ↑ 50.9%
#16

GPT-5.3 Instant
OpenAI

$0.007875 (rounded ~ $0.01)
vs DeepSeek V4 (Engram): ↑ 50.9%
#17

Claude Sonnet 4.6
Anthropic

$0.011250 (rounded ~ $0.01)
vs DeepSeek V4 (Engram): ↑ 115.5%
#18

Gemini 2.5 Pro
Google

$0.011250 (rounded ~ $0.01)
vs DeepSeek V4 (Engram): ↑ 115.5%
#19

Gemini 3.1 Pro
Google

$0.016000 (rounded ~ $0.02)
vs DeepSeek V4 (Engram): ↑ 206.5%
#20

Claude Opus 4.7
Anthropic

$0.018750 (rounded ~ $0.02)
vs DeepSeek V4 (Engram): ↑ 259.2%
#21

Claude Opus 4.8
Anthropic

$0.018750 (rounded ~ $0.02)
vs DeepSeek V4 (Engram): ↑ 259.2%
#22

Claude Opus 4.6
Anthropic

$0.018750 (rounded ~ $0.02)
vs DeepSeek V4 (Engram): ↑ 259.2%
#23

GPT-5.4
OpenAI

$0.020000
vs DeepSeek V4 (Engram): ↑ 283.1%
#24

GPT-5.4 Thinking
OpenAI

$0.020000
vs DeepSeek V4 (Engram): ↑ 283.1%
#25

GPT-5.5 Instant
OpenAI

$0.020000
vs DeepSeek V4 (Engram): ↑ 283.1%
#26

o3 Deep Research
OpenAI

$0.035000 (rounded ~ $0.04)
vs DeepSeek V4 (Engram): ↑ 570.5%
#27

GPT-5.5
OpenAI

$0.040000
vs DeepSeek V4 (Engram): ↑ 666.3%
#28

o3 Pro
OpenAI

$0.070000
vs DeepSeek V4 (Engram): ↑ 1241%
#29

GPT-5.2 Pro
OpenAI

$0.094500 (rounded ~ $0.09)
vs DeepSeek V4 (Engram): ↑ 1710.3%
#30

GPT-5.5 Pro
OpenAI

$0.120000
vs DeepSeek V4 (Engram): ↑ 2198.9%
#31

GPT-5.5 Pro
OpenAI

$0.120000
vs DeepSeek V4 (Engram): ↑ 2198.9%
✨ 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.

Vision-Grounded Quant Research

Analyze thousands of stock charts simultaneously. DeepSeek V4’s Engram memory allows it to maintain visual patterns across massive datasets at ultra-low cost.

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 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.