Budget for Real-time Financial Analysis using DeepSeek V4 Pro

DeepSeek V4 Pro vs Nemotron 3 Super
Complete Comparison: 480,000 input tokens × 128,000 output tokens
Comparison Mode
⚡ 40% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 40% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria DeepSeek V4 Pro
DeepSeek
Nemotron 3 Super
Mistral AI
Calculation Results (Current Inputs) (40% cached)
Input Tokens 480,000 480,000
Output Tokens 128,000 128,000
Cost Breakdown
Input Cost $0.208800 (rounded ~ $0.21)Worst $0.036000 (rounded ~ $0.04)Best
Output Cost $0.111360 (rounded ~ $0.11)Worst $0.026240 (rounded ~ $0.03)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.244992 (rounded ~ $0.24) Most Expensive $0.049280 Best Value
Processing Time 36 minutes, 8.71 seconds Slowest 15 minutes, 29.55 seconds Fastest
Tokens per Second 300Slowest 700Fastest
Time to First Token 180ms Worst 120ms Best
Cost per 1K tokens $0.000403Worst $0.000081Best
Tokens per Dollar 2,481,714Worst Value 12,337,662Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.435000 (rounded ~ $0.44)Worst $0.075000 (rounded ~ $0.08)Best
Output Cost / 1M (Base) $0.870000Worst $0.205000 (rounded ~ $0.21)Best
Input Cost / 1M (Optimized) $0.435000 (rounded ~ $0.44)Worst
Optimizations: No optimizations applied
$0.037500 (rounded ~ $0.04)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.870000Worst
Optimizations: No optimizations applied
$0.102500 (rounded ~ $0.10)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Caching Support
40
✓ Supported ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✓ Supported ✗ Not Supported
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Select AI Model

DeepSeek V4 Pro
DeepSeekMax Context: 1,000,000 tokens
$0.435 / $0.87 per 1M tokens
▼
▼
Use Batch API (50% discount)
40%
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

$0.244992 Total Cost
$0.125280 Input Cost
$0.111360 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
608,000Total Tokens
$0.000403Cost per 1K
2,481,714Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

36m 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

DeepSeek V4 Pro DeepSeek 1000000

$0.244992 (rounded ~ $0.24)
Total Cost
⚡ 40% 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
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.320160 Input: $0.208800 (rounded ~ $0.21)
Output: $0.111360 (rounded ~ $0.11)
Optimized Cost $0.244992 (rounded ~ $0.24) Input: $0.208800 (rounded ~ $0.21)
Output: $0.111360 (rounded ~ $0.11)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.075168 (rounded ~ $0.08) 23.5% discount

Detailed Cost Analysis (from Plugin)

For 480,000 input tokens and 128,000 output tokens:

  • Input Cost: $0.208800 (rounded ~ $0.21)
  • Output Cost: $0.111360 (rounded ~ $0.11)
  • Total Cost: $0.244992 (rounded ~ $0.24)
  • Cost per 1K tokens: $0.000403
  • Tokens per dollar: 2,481,714 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: 36 minutes, 8.71 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 280 tokens/second (temperature-adjusted)

Best Use Cases

Wall Street Data ProcessingFraud Logic

Want this applied to YOUR actual stack?

This calculator shows the math for DeepSeek V4 Pro. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

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Nemotron 3 Super Mistral AI 1000000

$0.049280
Total Cost
⚡ 40% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available requested
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.062240 (rounded ~ $0.06) Input: $0.036000 (rounded ~ $0.04)
Output: $0.026240 (rounded ~ $0.03)
Optimized Cost $0.049280 Input: $0.036000 (rounded ~ $0.04)
Output: $0.026240 (rounded ~ $0.03)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.012960 (rounded ~ $0.01) 20.8% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 480,000 input tokens and 128,000 output tokens:

  • Input Cost: $0.036000 (rounded ~ $0.04)
  • Output Cost: $0.026240 (rounded ~ $0.03)
  • Total Cost: $0.049280
  • Cost per 1K tokens: $0.000081
  • Tokens per dollar: 12,337,662 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 700 tokens per second and 120ms time to first token:

  • Processing Time: 15 minutes, 29.55 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 700 tokens/second
  • Effective Throughput: 654 tokens/second (temperature-adjusted)

Best Use Cases

Wall Street Data ProcessingFraud Logic

Want this applied to YOUR actual stack?

This calculator shows the math for Nemotron 3 Super. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to DeepSeek V4 Pro
📋 Active Input Parameters
Input Tokens: 480,000
Output Tokens: 128,000
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs DeepSeek V4 Pro vs Nemotron 3 Super
🏆 Gemini 3.1 Flash Lite
Google
 $0.067200 (rounded ~ $0.07) Best Value ↓ 72.6% cheaper ↑ 36.4% more
🥈 Gemini 2.5 Flash
Google
 $0.103040 (rounded ~ $0.10) ↓ 57.9% cheaper ↑ 109.1% more
🥉 Grok 4.3
xAI
 $0.176000 (rounded ~ $0.18) ↓ 28.2% cheaper ↑ 257.1% more
#4 Grok 4.20 Beta
xAI
 $0.345600 (rounded ~ $0.35) ↑ 41.1% more ↑ 601.3% more
#5 Gemini 3.5 Flash
Google
 $0.403200 (rounded ~ $0.40) ↑ 64.6% more ↑ 718.2% more
#6 Gemini 3.1 Flash
Google
 $0.537600 (rounded ~ $0.54) ↑ 119.4% more ↑ 990.9% more
#7 Claude Sonnet 4.6
Anthropic
 $0.710400 ↑ 190% more ↑ 1341.6% more
#8 Claude Opus 4.7
Anthropic
 $1.184000 (rounded ~ $1.18) ↑ 383.3% more ↑ 2302.6% more
#9 Claude Opus 4.8
Anthropic
 $1.184000 (rounded ~ $1.18) ↑ 383.3% more ↑ 2302.6% more
#10 Claude Opus 4.6
Anthropic
 $1.184000 (rounded ~ $1.18) ↑ 383.3% more ↑ 2302.6% more
#11 Gemini 2.5 Pro
Google
 $1.344000 (rounded ~ $1.34) ↑ 448.6% more ↑ 2627.3% more
#12 Gemini 3.1 Pro
Google
 $1.766400 (rounded ~ $1.77) ↑ 621% more ↑ 3484.4% more
#13 GPT-5.4
OpenAI
 $2.208000 (rounded ~ $2.21) ↑ 801.3% more ↑ 4380.5% more
#14 GPT-5.4 Thinking
OpenAI
 $2.208000 (rounded ~ $2.21) ↑ 801.3% more ↑ 4380.5% more
#15 GPT-5.5
OpenAI
 $4.416000 (rounded ~ $4.42) ↑ 1702.5% more ↑ 8861% more
#16 GPT-5.5
OpenAI
 $4.416000 (rounded ~ $4.42) ↑ 1702.5% more ↑ 8861% more
🏆

Gemini 3.1 Flash Lite
Google

$0.067200 (rounded ~ $0.07)
vs DeepSeek V4 Pro: ↓ 72.6%
vs Nemotron 3 Super: ↑ 36.4%
🥈

Gemini 2.5 Flash
Google

$0.103040 (rounded ~ $0.10)
vs DeepSeek V4 Pro: ↓ 57.9%
vs Nemotron 3 Super: ↑ 109.1%
🥉

Grok 4.3
xAI

$0.176000 (rounded ~ $0.18)
vs DeepSeek V4 Pro: ↓ 28.2%
vs Nemotron 3 Super: ↑ 257.1%
#4

Grok 4.20 Beta
xAI

$0.345600 (rounded ~ $0.35)
vs DeepSeek V4 Pro: ↑ 41.1%
vs Nemotron 3 Super: ↑ 601.3%
#5

Gemini 3.5 Flash
Google

$0.403200 (rounded ~ $0.40)
vs DeepSeek V4 Pro: ↑ 64.6%
vs Nemotron 3 Super: ↑ 718.2%
#6

Gemini 3.1 Flash
Google

$0.537600 (rounded ~ $0.54)
vs DeepSeek V4 Pro: ↑ 119.4%
vs Nemotron 3 Super: ↑ 990.9%
#7

Claude Sonnet 4.6
Anthropic

$0.710400
vs DeepSeek V4 Pro: ↑ 190%
vs Nemotron 3 Super: ↑ 1341.6%
#8

Claude Opus 4.7
Anthropic

$1.184000 (rounded ~ $1.18)
vs DeepSeek V4 Pro: ↑ 383.3%
vs Nemotron 3 Super: ↑ 2302.6%
#9

Claude Opus 4.8
Anthropic

$1.184000 (rounded ~ $1.18)
vs DeepSeek V4 Pro: ↑ 383.3%
vs Nemotron 3 Super: ↑ 2302.6%
#10

Claude Opus 4.6
Anthropic

$1.184000 (rounded ~ $1.18)
vs DeepSeek V4 Pro: ↑ 383.3%
vs Nemotron 3 Super: ↑ 2302.6%
#11

Gemini 2.5 Pro
Google

$1.344000 (rounded ~ $1.34)
vs DeepSeek V4 Pro: ↑ 448.6%
vs Nemotron 3 Super: ↑ 2627.3%
#12

Gemini 3.1 Pro
Google

$1.766400 (rounded ~ $1.77)
vs DeepSeek V4 Pro: ↑ 621%
vs Nemotron 3 Super: ↑ 3484.4%
#13

GPT-5.4
OpenAI

$2.208000 (rounded ~ $2.21)
vs DeepSeek V4 Pro: ↑ 801.3%
vs Nemotron 3 Super: ↑ 4380.5%
#14

GPT-5.4 Thinking
OpenAI

$2.208000 (rounded ~ $2.21)
vs DeepSeek V4 Pro: ↑ 801.3%
vs Nemotron 3 Super: ↑ 4380.5%
#15

GPT-5.5
OpenAI

$4.416000 (rounded ~ $4.42)
vs DeepSeek V4 Pro: ↑ 1702.5%
vs Nemotron 3 Super: ↑ 8861%
#16

GPT-5.5
OpenAI

$4.416000 (rounded ~ $4.42)
vs DeepSeek V4 Pro: ↑ 1702.5%
vs Nemotron 3 Super: ↑ 8861%
✨ 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.

2026 SOTA Cost-Performance Analysis

Detailed ROI and operational expense planning for ‘Budget for Real-time Financial Analysis using DeepSeek V4 Pro’. Based on the latest April 2026 frontier model pricing updates.

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.