DeepSeek V4 Pro vs GPT-5.4 for 500K-Token Legal Document Review

DeepSeek V4 Pro vs GPT-5.4
Complete Comparison: 500,000 input tokens × 2,000 output tokens
Comparison Mode
⚡ 60% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 60% Cached.

⚡ Caching Optimized (up to 98% savings) 📊 Batch API
Comparison Criteria DeepSeek V4 Pro
DeepSeek
GPT-5.4
OpenAI
Calculation Results (Current Inputs) (60% cached)
Input Tokens 500,000 500,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.330000Best $1.250000Worst
Output Cost $0.003960Best $0.022500 (rounded ~ $0.02)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.139920 Best Value $0.597500 (rounded ~ $0.60) Most Expensive
Processing Time 28 minutes, 10.25 seconds Slowest 20 minutes, 7.37 seconds Fastest
Tokens per Second 300Slowest 420Fastest
Time to First Token 180ms Best 210ms Worst
Cost per 1K tokens $0.000279Best $0.001190Worst
Tokens per Dollar 3,587,764Best Value 840,167Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.660000Best $2.500000Worst
Output Cost / 1M (Base) $1.980000Best $11.250000Worst
Input Cost / 1M (Optimized) $0.660000Best
Optimizations: No optimizations applied
$1.250000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.980000Best
Optimizations: No optimizations applied
$5.625000 (rounded ~ $5.63)Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Caching Support
60
✓ Supported ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

DeepSeek V4 Pro

DeepSeekMax Context: 1,000,000 tokens
$0.66 / $1.98 per 1M tokens
60%
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

$0.132000 Input Cost
$0.003960 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
502,000Total Tokens
$0.000279Cost per 1K
3,587,764Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

28m 10s Processing Time
300 Tokens/Second
180ms Time to First Token
297 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


📚 Research & Citations

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

$0.139920
Total Cost
⚡ 60% 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
98% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.333960 (rounded ~ $0.33) Input: $0.330000
Output: $0.003960
Optimized Cost $0.139920 Input: $0.330000
Output: $0.003960
Unit: $0.000000
Fees: $0.000000
Total Savings $0.194040 (rounded ~ $0.19) 58.1% discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.330000
  • Output Cost: $0.003960
  • Total Cost: $0.139920
  • Cost per 1K tokens: $0.000279
  • Tokens per dollar: 3,587,764 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: 28 minutes, 10.25 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 297 tokens/second (temperature-adjusted)

Best Use Cases

High-accuracy legal and regulatory document analysis requiring complex synthesis or structured extraction.

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.

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

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GPT-5.4 OpenAI 1024000 🏔️ Context Cliff

$0.597500 (rounded ~ $0.60)
Total Cost
⚡ 60% Cached 📊 Batch API
👁️
Vision/Images
✓ 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) $1.272500 (rounded ~ $1.27) Input: $1.250000
Output: $0.022500 (rounded ~ $0.02)
Optimized Cost $0.597500 (rounded ~ $0.60) Input: $1.250000
Output: $0.022500 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.675000 (rounded ~ $0.68) 53.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
🏔️ Context Cliff
Premium Tier
>272,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 2,000 output tokens:

  • Input Cost: $1.250000
  • Output Cost: $0.022500 (rounded ~ $0.02)
  • Total Cost: $0.597500 (rounded ~ $0.60)
  • Cost per 1K tokens: $0.001190
  • Tokens per dollar: 840,167 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 420 tokens per second and 210ms time to first token:

  • Processing Time: 20 minutes, 7.37 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 416 tokens/second (temperature-adjusted)

Best Use Cases

High-accuracy legal and regulatory document analysis requiring complex synthesis or structured extraction.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4. 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: 500,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 60%
Rank AI Model & Provider Total Cost vs DeepSeek V4 Pro vs GPT-5.4
🏆 GPT-5.6 Luna
OpenAI
$0.012100 (rounded ~ $0.01) Best Value ↓ 91.4% cheaper ↓ 98% cheaper
🥈 Gemini 3.1 Flash Lite
Google
$0.015125 (rounded ~ $0.02) ↓ 89.2% cheaper ↓ 97.5% cheaper
🥉 Nemotron 3 Super
NVIDIA
$0.017660 (rounded ~ $0.02) ↓ 87.4% cheaper ↓ 97% cheaper
#4 Gemini 3.5 Flash-Lite
Google
$0.018500 (rounded ~ $0.02) ↓ 86.8% cheaper ↓ 96.9% cheaper
#5 Gemini 2.5 Flash
Google
$0.018500 (rounded ~ $0.02) ↓ 86.8% cheaper ↓ 96.9% cheaper
#6 GPT-6 Luna
OpenAI
$0.023750 (rounded ~ $0.02) ↓ 83% cheaper ↓ 96% cheaper
#7 Gemini 3.8 Flash
Google
$0.045000 (rounded ~ $0.05) ↓ 67.8% cheaper ↓ 92.5% cheaper
#8 Gemini 3.6 Flash
Google
$0.045000 (rounded ~ $0.05) ↓ 67.8% cheaper ↓ 92.5% cheaper
#9 Claude Haiku 5.5
Anthropic
$0.060000 ↓ 57.1% cheaper ↓ 90% cheaper
#10 Mistral Large 4
Mistral AI
$0.080290 ↓ 42.6% cheaper ↓ 86.6% cheaper
#11 Claude Sonnet 5.5
Anthropic
$0.112500 (rounded ~ $0.11) ↓ 19.6% cheaper ↓ 81.2% cheaper
#12 Claude Sonnet 5
Anthropic
$0.120000 ↓ 14.2% cheaper ↓ 79.9% cheaper
#13 Gemini 4 Argon
Google
$0.120000 ↓ 14.2% cheaper ↓ 79.9% cheaper
#14 Gemini 3.1 Flash
Google
$0.121000 (rounded ~ $0.12) ↓ 13.5% cheaper ↓ 79.7% cheaper
#15 GPT-5.6 Terra
OpenAI
$0.121000 (rounded ~ $0.12) ↓ 13.5% cheaper ↓ 79.7% cheaper
#16 Claude Sonnet 4.6
Anthropic
$0.180000 ↑ 28.6% more ↓ 69.9% cheaper
#17 Claude Opus 5.5
Anthropic
$0.225000 (rounded ~ $0.23) ↑ 60.8% more ↓ 62.3% cheaper
#18 GPT-5.6 Sol
OpenAI
$0.240000 ↑ 71.5% more ↓ 59.8% cheaper
#19 Claude Opus 4.7
Anthropic
$0.300000 ↑ 114.4% more ↓ 49.8% cheaper
#20 Claude Opus 5
Anthropic
$0.300000 ↑ 114.4% more ↓ 49.8% cheaper
#21 Claude Opus 4.8
Anthropic
$0.300000 ↑ 114.4% more ↓ 49.8% cheaper
#22 Claude Opus 4.6
Anthropic
$0.300000 ↑ 114.4% more ↓ 49.8% cheaper
#23 Gemini 2.5 Pro
Google
$0.302500 (rounded ~ $0.30) ↑ 116.2% more ↓ 49.4% cheaper
#24 Grok 4.3
xAI
$0.468000 (rounded ~ $0.47) ↑ 234.5% more ↓ 21.7% cheaper
#25 Grok 4.20 Beta
xAI
$0.468000 (rounded ~ $0.47) ↑ 234.5% more ↓ 21.7% cheaper
#26 GPT-6.1 Sol
OpenAI
$0.475000 (rounded ~ $0.48) ↑ 239.5% more ↓ 20.5% cheaper
#27 GPT-6 Sol
OpenAI
$0.475000 (rounded ~ $0.48) ↑ 239.5% more ↓ 20.5% cheaper
#28 Gemini 3.1 Pro
Google
$0.478000 (rounded ~ $0.48) ↑ 241.6% more ↓ 20% cheaper
#29 Claude Fable 5.1
Anthropic
$0.543750 (rounded ~ $0.54) ↑ 288.6% more ↓ 9% cheaper
#30 Claude Mythos 5.1
Anthropic
$0.543750 (rounded ~ $0.54) ↑ 288.6% more ↓ 9% cheaper
#31 GPT-5.4
OpenAI
$0.597500 (rounded ~ $0.60) ↑ 327% more Same price
#32 GPT-5.4 Thinking
OpenAI
$0.597500 (rounded ~ $0.60) ↑ 327% more Same price
#33 Claude Fable 5
Anthropic
$0.600000 ↑ 328.8% more ↑ 0.4% more
#34 Claude Mythos 5
Anthropic
$0.600000 ↑ 328.8% more ↑ 0.4% more
#35 GPT-5.5
OpenAI
$1.195000 (rounded ~ $1.20) ↑ 754.1% more ↑ 100% more
#36 GPT-6 Astra
OpenAI
$2.400000 ↑ 1615.3% more ↑ 301.7% more
#37 GPT-6 Astra
OpenAI
$2.400000 ↑ 1615.3% more ↑ 301.7% more
🏆

GPT-5.6 Luna
OpenAI

$0.012100 (rounded ~ $0.01)
vs DeepSeek V4 Pro: ↓ 91.4%
vs GPT-5.4: ↓ 98%
🥈

Gemini 3.1 Flash Lite
Google

$0.015125 (rounded ~ $0.02)
vs DeepSeek V4 Pro: ↓ 89.2%
vs GPT-5.4: ↓ 97.5%
🥉

Nemotron 3 Super
NVIDIA

$0.017660 (rounded ~ $0.02)
vs DeepSeek V4 Pro: ↓ 87.4%
vs GPT-5.4: ↓ 97%
#4

Gemini 3.5 Flash-Lite
Google

$0.018500 (rounded ~ $0.02)
vs DeepSeek V4 Pro: ↓ 86.8%
vs GPT-5.4: ↓ 96.9%
#5

Gemini 2.5 Flash
Google

$0.018500 (rounded ~ $0.02)
vs DeepSeek V4 Pro: ↓ 86.8%
vs GPT-5.4: ↓ 96.9%
#6

GPT-6 Luna
OpenAI

$0.023750 (rounded ~ $0.02)
vs DeepSeek V4 Pro: ↓ 83%
vs GPT-5.4: ↓ 96%
#7

Gemini 3.8 Flash
Google

$0.045000 (rounded ~ $0.05)
vs DeepSeek V4 Pro: ↓ 67.8%
vs GPT-5.4: ↓ 92.5%
#8

Gemini 3.6 Flash
Google

$0.045000 (rounded ~ $0.05)
vs DeepSeek V4 Pro: ↓ 67.8%
vs GPT-5.4: ↓ 92.5%
#9

Claude Haiku 5.5
Anthropic

$0.060000
vs DeepSeek V4 Pro: ↓ 57.1%
vs GPT-5.4: ↓ 90%
#10

Mistral Large 4
Mistral AI

$0.080290
vs DeepSeek V4 Pro: ↓ 42.6%
vs GPT-5.4: ↓ 86.6%
#11

Claude Sonnet 5.5
Anthropic

$0.112500 (rounded ~ $0.11)
vs DeepSeek V4 Pro: ↓ 19.6%
vs GPT-5.4: ↓ 81.2%
#12

Claude Sonnet 5
Anthropic

$0.120000
vs DeepSeek V4 Pro: ↓ 14.2%
vs GPT-5.4: ↓ 79.9%
#13

Gemini 4 Argon
Google

$0.120000
vs DeepSeek V4 Pro: ↓ 14.2%
vs GPT-5.4: ↓ 79.9%
#14

Gemini 3.1 Flash
Google

$0.121000 (rounded ~ $0.12)
vs DeepSeek V4 Pro: ↓ 13.5%
vs GPT-5.4: ↓ 79.7%
#15

GPT-5.6 Terra
OpenAI

$0.121000 (rounded ~ $0.12)
vs DeepSeek V4 Pro: ↓ 13.5%
vs GPT-5.4: ↓ 79.7%
#16

Claude Sonnet 4.6
Anthropic

$0.180000
vs DeepSeek V4 Pro: ↑ 28.6%
vs GPT-5.4: ↓ 69.9%
#17

Claude Opus 5.5
Anthropic

$0.225000 (rounded ~ $0.23)
vs DeepSeek V4 Pro: ↑ 60.8%
vs GPT-5.4: ↓ 62.3%
#18

GPT-5.6 Sol
OpenAI

$0.240000
vs DeepSeek V4 Pro: ↑ 71.5%
vs GPT-5.4: ↓ 59.8%
#19

Claude Opus 4.7
Anthropic

$0.300000
vs DeepSeek V4 Pro: ↑ 114.4%
vs GPT-5.4: ↓ 49.8%
#20

Claude Opus 5
Anthropic

$0.300000
vs DeepSeek V4 Pro: ↑ 114.4%
vs GPT-5.4: ↓ 49.8%
#21

Claude Opus 4.8
Anthropic

$0.300000
vs DeepSeek V4 Pro: ↑ 114.4%
vs GPT-5.4: ↓ 49.8%
#22

Claude Opus 4.6
Anthropic

$0.300000
vs DeepSeek V4 Pro: ↑ 114.4%
vs GPT-5.4: ↓ 49.8%
#23

Gemini 2.5 Pro
Google

$0.302500 (rounded ~ $0.30)
vs DeepSeek V4 Pro: ↑ 116.2%
vs GPT-5.4: ↓ 49.4%
#24

Grok 4.3
xAI

$0.468000 (rounded ~ $0.47)
vs DeepSeek V4 Pro: ↑ 234.5%
vs GPT-5.4: ↓ 21.7%
#25

Grok 4.20 Beta
xAI

$0.468000 (rounded ~ $0.47)
vs DeepSeek V4 Pro: ↑ 234.5%
vs GPT-5.4: ↓ 21.7%
#26

GPT-6.1 Sol
OpenAI

$0.475000 (rounded ~ $0.48)
vs DeepSeek V4 Pro: ↑ 239.5%
vs GPT-5.4: ↓ 20.5%
#27

GPT-6 Sol
OpenAI

$0.475000 (rounded ~ $0.48)
vs DeepSeek V4 Pro: ↑ 239.5%
vs GPT-5.4: ↓ 20.5%
#28

Gemini 3.1 Pro
Google

$0.478000 (rounded ~ $0.48)
vs DeepSeek V4 Pro: ↑ 241.6%
vs GPT-5.4: ↓ 20%
#29

Claude Fable 5.1
Anthropic

$0.543750 (rounded ~ $0.54)
vs DeepSeek V4 Pro: ↑ 288.6%
vs GPT-5.4: ↓ 9%
#30

Claude Mythos 5.1
Anthropic

$0.543750 (rounded ~ $0.54)
vs DeepSeek V4 Pro: ↑ 288.6%
vs GPT-5.4: ↓ 9%
#31

GPT-5.4
OpenAI

$0.597500 (rounded ~ $0.60)
vs DeepSeek V4 Pro: ↑ 327%
vs GPT-5.4: Same
#32

GPT-5.4 Thinking
OpenAI

$0.597500 (rounded ~ $0.60)
vs DeepSeek V4 Pro: ↑ 327%
vs GPT-5.4: Same
#33

Claude Fable 5
Anthropic

$0.600000
vs DeepSeek V4 Pro: ↑ 328.8%
vs GPT-5.4: ↑ 0.4%
#34

Claude Mythos 5
Anthropic

$0.600000
vs DeepSeek V4 Pro: ↑ 328.8%
vs GPT-5.4: ↑ 0.4%
#35

GPT-5.5
OpenAI

$1.195000 (rounded ~ $1.20)
vs DeepSeek V4 Pro: ↑ 754.1%
vs GPT-5.4: ↑ 100%
#36

GPT-6 Astra
OpenAI

$2.400000
vs DeepSeek V4 Pro: ↑ 1615.3%
vs GPT-5.4: ↑ 301.7%
#37

GPT-6 Astra
OpenAI

$2.400000
vs DeepSeek V4 Pro: ↑ 1615.3%
vs GPT-5.4: ↑ 301.7%
✨ 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.

Legal document review involving 500K-token inputs presents a unique challenge: the model must be precise, handle dense legalese, and maintain strict logical consistency throughout the review process. The comparison between DeepSeek V4 Pro and GPT-5.4 highlights two distinct philosophies in model engineering.

DeepSeek V4 Pro is built on an efficient architecture designed for sustained performance over long contexts. Its mixture-of-experts design makes it particularly efficient for tasks that require parsing long, structured documents like contracts or regulatory filings. In legal use cases, where the goal is often to identify specific clauses or anomalies across hundreds of pages, this model’s ability to maintain focus on the internal consistency of the document is a significant asset.

GPT-5.4, by contrast, brings a robust, general-purpose reasoning foundation that excels in nuanced interpretation. When legal review tasks shift from simple extraction to higher-level synthesis—such as assessing risk or identifying subtle contradictions in multi-party agreements—GPT-5.4 often provides more comprehensive, context-aware reasoning. Its ability to navigate complex instructions with minimal prompt engineering is ideal for legal teams that need to deploy tools quickly without deep model tuning.

The decision ultimately rests on the nature of your legal workflows. If your primary task is structured extraction and large-scale document processing, DeepSeek V4 Pro offers strong technical efficiency. If your requirements lean toward advanced synthesis, risk assessment, and interpretive tasks, GPT-5.4 is the more versatile partner for your legal team’s automation needs.

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.