Llama 4 Maverick vs DeepSeek V4: Open Source Value

Llama 4 Maverick vs DeepSeek V4
Complete Comparison: 1,000,000 input tokens × 1,000,000 output tokens
Comparison Mode

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

Comparison Criteria Llama 4 Maverick
Meta AI
DeepSeek V4
DeepSeek
Calculation Results (Current Inputs)
Input Tokens N/A (Special Pricing) N/A (Special Pricing)
Output Tokens N/A (Special Pricing) N/A (Special Pricing)
Cost Breakdown
Input Cost N/A (Special Pricing) N/A (Special Pricing)
Output Cost N/A (Special Pricing) N/A (Special Pricing)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.750000 Best Value $1.305000 (rounded ~ $1.31) Most Expensive
Processing Time 1 hour, 27 minutes, 30.18 seconds Fastest 1 hour, 56 minutes, 40.18 seconds Slowest
Tokens per Second N/A (Special Pricing) N/A (Special Pricing)
Time to First Token 150ms Best 180ms Worst
Cost per 1K tokens N/A (Special Pricing) N/A (Special Pricing)
Tokens per Dollar N/A (Special Pricing) N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Information not available - No token-based models in this comparison
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Caching Support ✗ Not Supported ✓ Supported
Batch API Support ✓ Supported ✗ Not Supported
Tool Usage Support ✓ Supported ✓ Supported
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2

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All other parameters will be preserved from the current comparison.

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

Select AI Model

Llama 4 Maverick
Meta AIMax Context: 1,000,000 tokens
$0.15 / $0.6 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

$0.750000 Total Cost
$0.150000 Input Cost
$0.600000 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
$0.000375Cost per 1K
2,666,667Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

87m 30s Processing Time
400 Tokens/Second
150ms Time to First Token
381 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Llama 4 Maverick Meta AI 1000000

$0.750000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.750000 Input: $0.150000
Output: $0.600000
Optimized Cost $0.750000 Input: $0.150000
Output: $0.600000
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: $0.150000
  • Output Cost: $0.600000
  • Total Cost: $0.750000
  • Cost per 1K tokens: $0.000375
  • Tokens per dollar: 2,666,667 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 150ms time to first token:

  • Processing Time: 1 hour, 27 minutes, 30.18 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 381 tokens/second (temperature-adjusted)

Best Use Cases

Local General AssistantsLocal Coding Agents

Want this applied to YOUR actual stack?

This calculator shows the math for Llama 4 Maverick. 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 →

DeepSeek V4 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, 56 minutes, 40.18 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 286 tokens/second (temperature-adjusted)

Best Use Cases

Local General AssistantsLocal Coding Agents

Want this applied to YOUR actual stack?

This calculator shows the math for DeepSeek V4. 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 Llama 4 Maverick
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Tools: Enabled
Rank AI Model & Provider Total Cost vs Llama 4 Maverick vs DeepSeek V4
🏆 Grok 4.20 Beta
xAI
 $8.000000 Best Value ↑ 966.7% more ↑ 513% more
🥈 Gemini 2.5 Pro
Google
 $17.500000 ↑ 2233.3% more ↑ 1241% more
🥉 Gemini 2.5 Pro
Google
 $17.500000 ↑ 2233.3% more ↑ 1241% more
🏆

Grok 4.20 Beta
xAI

$8.000000
vs Llama 4 Maverick: ↑ 966.7%
vs DeepSeek V4: ↑ 513%
🥈

Gemini 2.5 Pro
Google

$17.500000
vs Llama 4 Maverick: ↑ 2233.3%
vs DeepSeek V4: ↑ 1241%
🥉

Gemini 2.5 Pro
Google

$17.500000
vs Llama 4 Maverick: ↑ 2233.3%
vs DeepSeek V4: ↑ 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.

General Versatility vs Coding ROI

Llama 4 Maverick (400B) is the most versatile open-weight model, handling vision, text, and long context with ease. DeepSeek V4 (Engram) is a specialized powerhouse that focuses on the engineering ROI, outperforming Llama 4 in pure Python and Rust development tasks. For a general-purpose local assistant, Llama is the better foundation; for a developer-centric startup building a local coding agent, DeepSeek V4 provides higher performance at a lower compute 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.