DeepSeek V4: The New Efficiency Benchmark for LLMs

Complete Analysis: 2,000,000 tokens for DeepSeek V4 (Engram)

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

$1.305000 (rounded ~ $1.31) Total Cost
2,000,000 Total Tokens
1 hour, 58 minutes, 53.51 seconds Processing Time
280 Effective Tokens/Sec

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Deepseek V4
DeepSeekMax Context: 1,000,000 tokens
$0.435 / $0.87 per 1M tokens
▼
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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

$1.305000 Total Cost
$0.435000 Input Cost
$0.870000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,000,000Total Tokens
$0.000653Cost per 1K
1,532,567Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

118m 53s Processing Time
300 Tokens/Second
180ms Time to First Token
280 Effective Speed

Model Comparison

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Model Information

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🔄 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

$1.305000 (rounded ~ $1.31)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🔧 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) $1.305000 (rounded ~ $1.31) Input: $0.435000 (rounded ~ $0.44)
Output: $0.870000
Optimized Cost $1.305000 (rounded ~ $1.31) Input: $0.435000 (rounded ~ $0.44)
Output: $0.870000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.435000 (rounded ~ $0.44)
  • Output Cost: $0.870000
  • Total Cost: $1.305000 (rounded ~ $1.31)
  • Cost per 1K tokens: $0.000653
  • Tokens per dollar: 1,532,567 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: 1 hour, 58 minutes, 53.51 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 280 tokens/second (temperature-adjusted)

Best Use Cases

SaaS ScalingCoding AgentsLogical Reasoning

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✨ Market Recommendations AI Model Registry

← Back to DeepSeek V4 (Engram)
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Tools: Enabled
Rank AI Model & Provider Total Cost vs DeepSeek V4 (Engram)
🏆 Grok 4.20 Beta
xAI
 $8.000000 Best Value ↑ 513% more
🥈 Gemini 2.5 Pro
Google
 $17.500000 ↑ 1241% more
🥉 Gemini 2.5 Pro
Google
 $17.500000 ↑ 1241% more
🏆

Grok 4.20 Beta
xAI

$8.000000
vs DeepSeek V4 (Engram): ↑ 513%
🥈

Gemini 2.5 Pro
Google

$17.500000
vs DeepSeek V4 (Engram): ↑ 1241%
🥉

Gemini 2.5 Pro
Google

$17.500000
vs DeepSeek V4 (Engram): ↑ 1241%
✨ 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.

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Next-Generation Model Architecture

DeepSeek V4 marks a significant shift in AI efficiency for 2026. Utilizing conditional engram memory, it reduces the computational overhead of high-context tasks. At $1.00 input and $2.00 output per 1M tokens, it directly challenges Western flagships on both price and performance. It is particularly strong in coding and logical reasoning, with benchmarks rivaling models that cost 10x more.

Scaling and Production

For high-growth startups, DeepSeek V4 offers the ability to run complex reasoning tasks at a fraction of the traditional cost. Its 1M+ context window and conditional routing ensure that even massive datasets don’t slow down the inference speed. It is rapidly becoming the default backend for developers building next-generation AI agents and autonomous coding assistants.

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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.