Mistral Large 3 vs Llama 3.3 70B: Mid-Tier Value

Mistral Large 3 vs Llama 3.3 70B
Complete Comparison: 128,000 input tokens × 50,000 output tokens
Comparison Mode
🖼️ 1 Image

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1 Image.

🖼️ Multimodal Input 📊 Batch API
Comparison Criteria Mistral Large 3
Mistral AI
Llama 3.3 70B
Meta AI
Calculation Results (Current Inputs) (1 images)
Input Tokens 128,000 128,000
Output Tokens 50,000 50,000
Cost Breakdown
Input Cost $0.016032 (rounded ~ $0.02)Best $0.076800 (rounded ~ $0.08)Worst
Output Cost $0.018750 (rounded ~ $0.02)Best $0.060000Worst
Unit Cost (Audio/OCR) $0.000250 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.035032 (rounded ~ $0.04) Best Value $0.136800 (rounded ~ $0.14) Most Expensive
Processing Time 6 minutes, 14.52 seconds Slowest 6 minutes, 13.98 seconds Fastest
Tokens per Second 500 500
Time to First Token 160ms Best 200ms Worst
Cost per 1K tokens $0.000197Best $0.000769Worst
Tokens per Dollar 5,088,397Best Value 1,301,170Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.125000 (rounded ~ $0.13)Best $0.600000Worst
Output Cost / 1M (Base) $0.375000 (rounded ~ $0.38)Best $1.200000Worst
Input Cost / 1M (Optimized) $0.062500 (rounded ~ $0.06)Best
Optimizations: 50.0% batch
$0.600000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $0.187500 (rounded ~ $0.19)Best
Optimizations: 50.0% batch
$1.200000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support
1
✓ Supported ✗ Not Supported requested
Caching Support ✓ Supported ✗ Not Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✗ Not Supported
Scroll horizontally to see all data

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Select AI Model

Mistral Large 3
Mistral AIMax Context: 256,000 tokens
$0.5 / $1.5 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.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$0.035032 Total Cost
$0.016032 Input Cost
$0.018750 Output Cost
$0.000250 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
178,258Total Tokens
$0.000197Cost per 1K
5,088,397Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

6m 14s Processing Time
500 Tokens/Second
160ms Time to First Token
476 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

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.

Mistral Large 3 Mistral AI

$0.035032 (rounded ~ $0.04)
Total Cost
🖼️ 1 Image (1080p) 📊 Batch API
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.035032 (rounded ~ $0.04) Input: $0.016032 (rounded ~ $0.02)
Output: $0.018750 (rounded ~ $0.02)
Optimized Cost $0.035032 (rounded ~ $0.04) Input: $0.016032 (rounded ~ $0.02)
Output: $0.018750 (rounded ~ $0.02)
Unit: $0.000250
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

👁️ Vision Prefill
$0.000250
2,000 tokens
🖼️ Multimodal Input
$0.000000
258 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 1
Resolution: 1080p
Tokens: 258
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 128,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.016032 (rounded ~ $0.02)
  • Output Cost: $0.018750 (rounded ~ $0.02)
  • Unit Cost: $0.000250
  • Total Cost: $0.035032 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.000197
  • Tokens per dollar: 5,088,397 tokens
  • Context Window: 256000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 160ms time to first token:

  • Processing Time: 6 minutes, 14.52 seconds
  • Latency: 160 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 476 tokens/second (temperature-adjusted)

Best Use Cases

Enterprise Fine-TuningMultilingual Chat

Want this applied to YOUR actual stack?

This calculator shows the math for Mistral Large 3. 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.

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Llama 3.3 70B Meta AI

$0.136800 (rounded ~ $0.14)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 131,000 tokens. Budgeting mode active.
🖼️ 1 Image (1080p) 📊 Batch API
👁️
Vision/Images
✗ Not Available requested
🎧
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) $0.136800 (rounded ~ $0.14) Input: $0.076800 (rounded ~ $0.08)
Output: $0.060000
Optimized Cost $0.136800 (rounded ~ $0.14) Input: $0.076800 (rounded ~ $0.08)
Output: $0.060000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 128,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.076800 (rounded ~ $0.08)
  • Output Cost: $0.060000
  • Total Cost: $0.136800 (rounded ~ $0.14)
  • Cost per 1K tokens: $0.000769
  • Tokens per dollar: 1,301,170 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: 6 minutes, 13.98 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 476 tokens/second (temperature-adjusted)

Best Use Cases

Enterprise Fine-TuningMultilingual Chat

Want this applied to YOUR actual stack?

This calculator shows the math for Llama 3.3 70B. 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 Mistral Large 3
📋 Active Input Parameters
Input Tokens: 128,000
Output Tokens: 50,000
Batch API: Enabled (50% discount)
Images: 1 (1080p Resolution)
Rank AI Model & Provider Total Cost vs Mistral Large 3 vs Llama 3.3 70B
🏆 Gemini 3.1 Flash Lite
Google
 $0.026766 (rounded ~ $0.03) Best Value ↓ 23.6% cheaper ↓ 80.4% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.040869 ↑ 16.7% more ↓ 70.1% cheaper
🥉 Llama 4 Maverick (400B)
Meta AI
 $0.049442 ↑ 41.1% more ↓ 63.9% cheaper
#4 Grok 4.3
xAI
 $0.071331 (rounded ~ $0.07) ↑ 103.6% more ↓ 47.9% cheaper
#5 GPT-5.4 mini
OpenAI
 $0.080298 ↑ 129.2% more ↓ 41.3% cheaper
#6 o4-mini
OpenAI
 $0.090271 ↑ 157.7% more ↓ 34% cheaper
#7 Claude Haiku 4.5
Anthropic
 $0.094565 (rounded ~ $0.09) ↑ 169.9% more ↓ 30.9% cheaper
#8 Gemini 3.1 Flash
Google
 $0.107065 (rounded ~ $0.11) ↑ 205.6% more ↓ 21.7% cheaper
#9 Gemini 3.5 Flash
Google
 $0.160597 ↑ 358.4% more ↑ 17.4% more
#10 GPT-5.3 Codex Spark
OpenAI
 $0.231113 (rounded ~ $0.23) ↑ 559.7% more ↑ 68.9% more
#11 Claude Sonnet 4.6
Anthropic
 $0.283694 (rounded ~ $0.28) ↑ 709.8% more ↑ 107.4% more
#12 Gemini 2.5 Pro
Google
 $0.330161 ↑ 842.4% more ↑ 141.3% more
#13 Gemini 3.1 Pro
Google
 $0.428258 (rounded ~ $0.43) ↑ 1122.5% more ↑ 213.1% more
#14 Claude Opus 4.7
Anthropic
 $0.472823 (rounded ~ $0.47) ↑ 1249.7% more ↑ 245.6% more
#15 Claude Opus 4.8
Anthropic
 $0.472823 (rounded ~ $0.47) ↑ 1249.7% more ↑ 245.6% more
#16 Claude Opus 4.6
Anthropic
 $0.472823 (rounded ~ $0.47) ↑ 1249.7% more ↑ 245.6% more
#17 GPT-5.4
OpenAI
 $0.535323 (rounded ~ $0.54) ↑ 1428.1% more ↑ 291.3% more
#18 GPT-5.4 Thinking
OpenAI
 $0.535323 (rounded ~ $0.54) ↑ 1428.1% more ↑ 291.3% more
#19 GPT-5.5 Instant
OpenAI
 $0.535323 (rounded ~ $0.54) ↑ 1428.1% more ↑ 291.3% more
#20 o3 Deep Research
OpenAI
 $0.820645 ↑ 2242.5% more ↑ 499.9% more
#21 GPT-5.5
OpenAI
 $1.070645 ↑ 2956.2% more ↑ 682.6% more
#22 o3 Pro
OpenAI
 $1.641290 (rounded ~ $1.64) ↑ 4585.1% more ↑ 1099.8% more
#23 GPT-5.5 Pro
OpenAI
 $3.211935 (rounded ~ $3.21) ↑ 9068.5% more ↑ 2247.9% more
#24 GPT-5.5 Pro
OpenAI
 $3.211935 (rounded ~ $3.21) ↑ 9068.5% more ↑ 2247.9% more
🏆

Gemini 3.1 Flash Lite
Google

$0.026766 (rounded ~ $0.03)
vs Mistral Large 3: ↓ 23.6%
vs Llama 3.3 70B: ↓ 80.4%
🥈

Gemini 2.5 Flash
Google

$0.040869
vs Mistral Large 3: ↑ 16.7%
vs Llama 3.3 70B: ↓ 70.1%
🥉

Llama 4 Maverick (400B)
Meta AI

$0.049442
vs Mistral Large 3: ↑ 41.1%
vs Llama 3.3 70B: ↓ 63.9%
#4

Grok 4.3
xAI

$0.071331 (rounded ~ $0.07)
vs Mistral Large 3: ↑ 103.6%
vs Llama 3.3 70B: ↓ 47.9%
#5

GPT-5.4 mini
OpenAI

$0.080298
vs Mistral Large 3: ↑ 129.2%
vs Llama 3.3 70B: ↓ 41.3%
#6

o4-mini
OpenAI

$0.090271
vs Mistral Large 3: ↑ 157.7%
vs Llama 3.3 70B: ↓ 34%
#7

Claude Haiku 4.5
Anthropic

$0.094565 (rounded ~ $0.09)
vs Mistral Large 3: ↑ 169.9%
vs Llama 3.3 70B: ↓ 30.9%
#8

Gemini 3.1 Flash
Google

$0.107065 (rounded ~ $0.11)
vs Mistral Large 3: ↑ 205.6%
vs Llama 3.3 70B: ↓ 21.7%
#9

Gemini 3.5 Flash
Google

$0.160597
vs Mistral Large 3: ↑ 358.4%
vs Llama 3.3 70B: ↑ 17.4%
#10

GPT-5.3 Codex Spark
OpenAI

$0.231113 (rounded ~ $0.23)
vs Mistral Large 3: ↑ 559.7%
vs Llama 3.3 70B: ↑ 68.9%
#11

Claude Sonnet 4.6
Anthropic

$0.283694 (rounded ~ $0.28)
vs Mistral Large 3: ↑ 709.8%
vs Llama 3.3 70B: ↑ 107.4%
#12

Gemini 2.5 Pro
Google

$0.330161
vs Mistral Large 3: ↑ 842.4%
vs Llama 3.3 70B: ↑ 141.3%
#13

Gemini 3.1 Pro
Google

$0.428258 (rounded ~ $0.43)
vs Mistral Large 3: ↑ 1122.5%
vs Llama 3.3 70B: ↑ 213.1%
#14

Claude Opus 4.7
Anthropic

$0.472823 (rounded ~ $0.47)
vs Mistral Large 3: ↑ 1249.7%
vs Llama 3.3 70B: ↑ 245.6%
#15

Claude Opus 4.8
Anthropic

$0.472823 (rounded ~ $0.47)
vs Mistral Large 3: ↑ 1249.7%
vs Llama 3.3 70B: ↑ 245.6%
#16

Claude Opus 4.6
Anthropic

$0.472823 (rounded ~ $0.47)
vs Mistral Large 3: ↑ 1249.7%
vs Llama 3.3 70B: ↑ 245.6%
#17

GPT-5.4
OpenAI

$0.535323 (rounded ~ $0.54)
vs Mistral Large 3: ↑ 1428.1%
vs Llama 3.3 70B: ↑ 291.3%
#18

GPT-5.4 Thinking
OpenAI

$0.535323 (rounded ~ $0.54)
vs Mistral Large 3: ↑ 1428.1%
vs Llama 3.3 70B: ↑ 291.3%
#19

GPT-5.5 Instant
OpenAI

$0.535323 (rounded ~ $0.54)
vs Mistral Large 3: ↑ 1428.1%
vs Llama 3.3 70B: ↑ 291.3%
#20

o3 Deep Research
OpenAI

$0.820645
vs Mistral Large 3: ↑ 2242.5%
vs Llama 3.3 70B: ↑ 499.9%
#21

GPT-5.5
OpenAI

$1.070645
vs Mistral Large 3: ↑ 2956.2%
vs Llama 3.3 70B: ↑ 682.6%
#22

o3 Pro
OpenAI

$1.641290 (rounded ~ $1.64)
vs Mistral Large 3: ↑ 4585.1%
vs Llama 3.3 70B: ↑ 1099.8%
#23

GPT-5.5 Pro
OpenAI

$3.211935 (rounded ~ $3.21)
vs Mistral Large 3: ↑ 9068.5%
vs Llama 3.3 70B: ↑ 2247.9%
#24

GPT-5.5 Pro
OpenAI

$3.211935 (rounded ~ $3.21)
vs Mistral Large 3: ↑ 9068.5%
vs Llama 3.3 70B: ↑ 2247.9%
✨ 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.

The Balanced Choice

Mistral Large 3 remains a top-tier MoE model for multilingual tasks and enterprise tools. Llama 3.3 70B is the stable open-weights workhorse for fine-tuning. Mistral offers a 256k window and native vision, while Llama 3.3 70B is the preferred choice for companies building private, fine-tuned models for specific niche domains.

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 are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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.