Mistral Mixtral vs Llama 4: Open Source Cost Analysis

mixtral-8x22b vs llama-4-scout-17b
Complete Comparison: 20,000 input tokens × 10,000 output tokens
Comparison Mode (Custom field comparison)

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

Comparison Criteria mixtral-8x22b
Mistral AI
llama-4-scout-17b
Meta AI
Input Parameters Applied
Input Tokens 20,000 20,000
Output Tokens 10,000 10,000
Calculation Results
Input Cost $0.040000 Worst $0.020000 Best
Output Cost $0.120000 Worst $0.050000 Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.160000 Most Expensive $0.070000 Best Value
Processing Time 1 minute, 3.00 seconds Slowest 52.68 seconds Fastest
Tokens per Second 500 Slowest 600 Fastest
Time to First Token 200ms Worst 120ms Best
Cost per 1K tokens $0.005333 (rounded ~ 0.01) Worst $0.002333 (rounded ~ 0.00) Best
Tokens per Dollar 187,500 Worst Value 428,571 Best Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $2.000000 Worst $1.000000 Best
Output Cost / 1M (Base) $12.000000 Worst $5.000000 Best
Input Cost / 1M (Optimized) $2.000000 Worst
Optimizations: No optimizations applied
$1.000000 Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $12.000000 Worst
Optimizations: No optimizations applied
$5.000000 Best
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
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All other parameters will be preserved from the current comparison.

Select AI Model

Mixtral 8x22b
OtherMax Context: 32,768 tokens
Input: $2.000000 / 1M
Output: $12.000000 / 1M

Calculate Token Costs

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▼
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
$0.160000Total Cost
$0.040000Input Cost
$0.120000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
30,000Total Tokens
$0.005333Cost per 1K
187,500Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
1m 3sProcessing Time
500Tokens/Second
200msTime to First Token
476Effective Speed

Model Comparison

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Model Information

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🔄 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.

mixtral-8x22b Mistral AI

$0.160000
Total Cost
👁️
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) $0.160000 Input: $0.040000
Output: $0.120000
Optimized Cost $0.160000 Input: $0.040000
Output: $0.120000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis

For 20,000 input tokens and 10,000 output tokens:

  • Input Cost: $0.040000
  • Output Cost: $0.120000
  • Unit Cost: $0.000000
  • Service Fees: $0.000000
  • Total Cost: $0.160000
  • Cost per 1K tokens: $0.005333 (rounded ~ 0.01)
  • Tokens per dollar: 187,500 tokens
  • Context Window: 32768 tokens

Speed & Performance Analysis

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

  • Processing Time: 1 minute, 3.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 476 tokens/second

Best Use Cases

Open sourceCost-sensitive appsTesting

llama-4-scout-17b Meta AI 10000000

$0.070000
Total Cost
👁️
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) $0.070000 Input: $0.020000
Output: $0.050000
Optimized Cost $0.070000 Input: $0.020000
Output: $0.050000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis

For 20,000 input tokens and 10,000 output tokens:

  • Input Cost: $0.020000
  • Output Cost: $0.050000
  • Unit Cost: $0.000000
  • Service Fees: $0.000000
  • Total Cost: $0.070000
  • Cost per 1K tokens: $0.002333 (rounded ~ 0.00)
  • Tokens per dollar: 428,571 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: 52.00 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 571 tokens/second

Best Use Cases

Open sourceCost-sensitive appsTesting

Open Source Model Economics

Comparing two leading open-source models available via API. Cost-effective options for specific use cases.

Open Source API Costs

  • Mixtral 8x22B: $1.20/$1.20 per 1M
  • Llama 4 Scout: $0.08/$0.30 per 1M
  • Mixtral: MoE architecture, 65K context
  • Llama: 131K context, faster speed
  • Both via third-party APIs

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 38 AI models. It calculates token-based pricing, analyzes multimodal processing, and provides optimization recommendations.