Llama 3.3 70B 1M input/output tokens price and performance

Complete Analysis: 2,000,000 tokens for Llama 3.3 70B

Complete analysis of pricing, performance, and use cases for Meta AI's Llama 3.3 70B model .

$1.800000 Total Cost
2,000,000 Total Tokens
1 hour, 11 minutes, 20.18 seconds Processing Time
467 Effective Tokens/Sec

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 131,000 tokens. Budgeting mode active.

Select AI Model

Llama 3.3 70B
Meta AIMax Context: 131,000 tokens
$0.6 / $1.2 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

$0.600000 Input Cost
$1.200000 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
$0.000900Cost per 1K
1,111,111Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

71m 20s Processing Time
500 Tokens/Second
200ms Time to First Token
467 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

Llama 3.3 70B Meta AI

$1.800000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 131,000 tokens. Budgeting mode active.
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $1.800000 Input: $0.600000
Output: $1.200000
Optimized Cost $1.800000 Input: $0.600000
Output: $1.200000
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: $0.600000
  • Output Cost: $1.200000
  • Total Cost: $1.800000
  • Cost per 1K tokens: $0.000900
  • Tokens per dollar: 1,111,111 tokens
  • Context Window: 131000 tokens

Speed & Performance Analysis

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

  • Processing Time: 1 hour, 11 minutes, 20.18 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second (temperature-adjusted)

Best Use Cases

Private Fine-tuningNiche Domain Logic

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✨ Market Recommendations AI Model Registry

← Back to Llama 3.3 70B
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 1,000,000
Rank AI Model & Provider Total Cost vs Llama 3.3 70B
🏆 Llama 4 Scout
Meta AI
$0.380000 Best Value ↓ 78.9% cheaper
🥈 Grok 4.20 Beta
xAI
$8.000000 ↑ 344.4% more
🥉 Gemini 2.5 Pro
Google
$17.500000 ↑ 872.2% more
#4 Gemini 2.5 Pro
Google
$17.500000 ↑ 872.2% more
🏆

Llama 4 Scout
Meta AI

$0.380000
vs Llama 3.3 70B: ↓ 78.9%
🥈

Grok 4.20 Beta
xAI

$8.000000
vs Llama 3.3 70B: ↑ 344.4%
🥉

Gemini 2.5 Pro
Google

$17.500000
vs Llama 3.3 70B: ↑ 872.2%
#4

Gemini 2.5 Pro
Google

$17.500000
vs Llama 3.3 70B: ↑ 872.2%
✨ 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.

Next-Generation Llama 3.3 70B Intelligence

Llama 3.3 70B is a frontier model from Meta AI optimized for the 2026 AI landscape.

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.