DeepSeek V3 vs Llama 4: Open Source AI Cost Comparison 2026

deepseek-v3.1 vs llama-4-scout-17b
Complete Comparison: 1,000,000 input tokens × 500,000 output tokens
Comparison Mode (Custom field comparison)

Complete comparison of pricing, performance, and capabilities for 2 leading AI models .

Comparison Criteria deepseek-v3.1
DeepSeek
llama-4-scout-17b
Meta AI
Input Parameters Applied
Input Tokens 1,000,000 1,000,000
Output Tokens 500,000 500,000
Calculation Results
Input Cost $0.150000 Best $1.000000 Worst
Output Cost $0.300000 Best $2.500000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $0.500000 Best Value $3.550000 Most Expensive
Processing Time 52 minutes, 30.00 seconds Slowest 43 minutes, 45.00 seconds Fastest
Tokens per Second 500 Slowest 600 Fastest
Time to First Token 200ms Worst 120ms Best
Cost per 1K tokens $0.000333 Best $0.002367 (rounded ~ 0.00) Worst
Tokens per Dollar 3,000,000 Best Value 422,535 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $0.150000 Best $1.000000 Worst
Output Cost / 1M (Base) $0.600000 Best $5.000000 Worst
Input Cost / 1M (Optimized) $0.150000 Best
Optimizations: No optimizations applied
$1.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $0.600000 Best
Optimizations: No optimizations applied
$5.000000 Worst
Optimizations: No optimizations applied
Capabilities
Caching Support ✗ Not Supported ✗ Not Supported
Batch API Support ✗ Not Supported ✗ Not Supported
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

ℹ️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 1,000,000 tokens.

Select AI Model

Deepseek V3.1
DeepSeekMax Context: 1,000,000 tokens
Input: $0.150000 / 1M
Output: $0.600000 / 1M

Calculate Token Costs

▼
▼
Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$0.500000Total Cost
$0.150000Input Cost
$0.300000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
1,500,000Total Tokens
$0.000333Cost per 1K
3,000,000Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
52m 30sProcessing Time
500Tokens/Second
200msTime to First Token
476Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
0%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

deepseek-v3.1 DeepSeek 1000000

$0.500000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 1,000,000 tokens.
📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.500000 Input: $0.150000
Output: $0.300000
Optimized Cost $0.500000 Input: $0.150000
Output: $0.300000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 1,000,000 input tokens and 500,000 output tokens:

  • Input Cost: $0.150000
  • Output Cost: $0.300000
  • Service Fees: $0.050000
  • Total Cost: $0.500000
  • Cost per 1K tokens: $0.000333
  • Tokens per dollar: 3,000,000 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 52 minutes, 30.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 476 tokens/second (temperature-adjusted)

Best Use Cases

Open sourceSelf-hostingCost optimization

llama-4-scout-17b Meta AI 10000000

$3.550000
Total Cost
📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $3.550000 Input: $1.000000
Output: $2.500000
Optimized Cost $3.550000 Input: $1.000000
Output: $2.500000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 1,000,000 input tokens and 500,000 output tokens:

  • Input Cost: $1.000000
  • Output Cost: $2.500000
  • Service Fees: $0.050000
  • Total Cost: $3.550000
  • Cost per 1K tokens: $0.002367 (rounded ~ 0.00)
  • Tokens per dollar: 422,535 tokens
  • Context Window: 10000000 tokens

Speed & Performance Analysis

With a processing speed of 600 tokens per second and 120ms time to first token:

  • Processing Time: 43 minutes, 45.00 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 571 tokens/second (temperature-adjusted)

Best Use Cases

Open sourceSelf-hostingCost optimization

Open Source AI Economics

Comparing leading open-source models for self-hosting vs API usage. DeepSeek offers competitive pricing while Llama provides Meta’s ecosystem.

Open Source Analysis

  • DeepSeek V3: $0.21/1M input, $0.79/1M output
  • Llama 4 Scout: $0.08/1M input, $0.30/1M output
  • Both support batch processing
  • DeepSeek offers 70% batch discount

Self-Hosting Considerations

Llama for on-premise deployment. DeepSeek for API-based cost efficiency with open-source flexibility.

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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 44+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), and provides optimization recommendations.