Mistral Large 3 Cost for 100K-Token Legal Contract Analysis

Complete Analysis: 101,500 tokens for Mistral Large 3
⚡ 40% Cached

Complete analysis of pricing, performance, and use cases for Mistral AI's Mistral Large 3 model with 40% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.008563 (rounded ~ $0.01) Total Cost
101,500 Total Tokens
3 minutes, 29.27 seconds Processing Time
485 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Mistral Large 3
Mistral AIMax Context: 256,000 tokens
$0.5 / $1.5 per 1M tokens
▼
▼
Use Batch API (50% discount)
40%
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

$0.008563 Total Cost
$0.007500 Input Cost
$0.000563 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
101,500Total Tokens
$0.000084Cost per 1K
11,854,015Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 29s Processing Time
500 Tokens/Second
160ms Time to First Token
485 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

Mistral Large 3 Mistral AI

$0.008563 (rounded ~ $0.01)
Total Cost
⚡ 40% Cached 📊 Batch API 🔧 Tools
👁️
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) $0.013063 (rounded ~ $0.01) Input: $0.012500 (rounded ~ $0.01)
Output: $0.000563
Optimized Cost $0.008563 (rounded ~ $0.01) Input: $0.012500 (rounded ~ $0.01)
Output: $0.000563
Unit: $0.000000
Fees: $0.000000
Total Savings $0.004500 34.4% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 1,500 output tokens:

  • Input Cost: $0.012500 (rounded ~ $0.01)
  • Output Cost: $0.000563
  • Total Cost: $0.008563 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000084
  • Tokens per dollar: 11,854,015 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: 3 minutes, 29.27 seconds
  • Latency: 160 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 485 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for cost-effectiveroutine legal contract clause extraction and document summarization in small-to-mid-sized development teams.

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✨ Market Recommendations AI Model Registry

← Back to Mistral Large 3
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 1,500
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Mistral Large 3
🏆 Mistral Small 3
Mistral AI
 $0.001713 Best Value ↓ 80% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.004563 ↓ 46.7% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.005738 (rounded ~ $0.01) ↓ 33% cheaper
#4 Gemini 2.5 Flash
Google
 $0.005738 (rounded ~ $0.01) ↓ 33% cheaper
#5 GPT-5.4 mini
OpenAI
 $0.013688 (rounded ~ $0.01) ↑ 59.9% more
#6 o4-mini Deep Research
OpenAI
 $0.017500 (rounded ~ $0.02) ↑ 104.4% more
#7 Claude Haiku 4.5
Anthropic
 $0.017875 (rounded ~ $0.02) ↑ 108.8% more
#8 Gemini 3.1 Flash
Google
 $0.018250 (rounded ~ $0.02) ↑ 113.1% more
#9 GPT-5.6 Luna
OpenAI
 $0.018250 (rounded ~ $0.02) ↑ 113.1% more
#10 o4-mini
OpenAI
 $0.019250 ↑ 124.8% more
#11 Gemini 3.6 Flash
Google
 $0.026813 (rounded ~ $0.03) ↑ 213.1% more
#12 Gemini 3.5 Flash
Google
 $0.027375 (rounded ~ $0.03) ↑ 219.7% more
#13 GPT-5.3 Codex Spark
OpenAI
 $0.033250 (rounded ~ $0.03) ↑ 288.3% more
#14 GPT-5.3 Instant
OpenAI
 $0.033250 (rounded ~ $0.03) ↑ 288.3% more
#15 Claude Sonnet 5
Anthropic
 $0.035750 (rounded ~ $0.04) ↑ 317.5% more
#16 GPT-5.6 Terra
OpenAI
 $0.045625 (rounded ~ $0.05) ↑ 432.8% more
#17 Gemini 2.5 Pro
Google
 $0.047500 (rounded ~ $0.05) ↑ 454.7% more
#18 Claude Sonnet 4.6
Anthropic
 $0.053625 (rounded ~ $0.05) ↑ 526.3% more
#19 Grok 4.3
xAI
 $0.067000 (rounded ~ $0.07) ↑ 682.5% more
#20 Grok 4.20 Beta
xAI
 $0.067000 (rounded ~ $0.07) ↑ 682.5% more
#21 Gemini 3.1 Pro
Google
 $0.073000 (rounded ~ $0.07) ↑ 752.6% more
#22 Claude Opus 4.7
Anthropic
 $0.089375 ↑ 943.8% more
#23 Claude Opus 5
Anthropic
 $0.089375 ↑ 943.8% more
#24 Claude Opus 4.8
Anthropic
 $0.089375 ↑ 943.8% more
#25 Claude Opus 4.6
Anthropic
 $0.089375 ↑ 943.8% more
#26 GPT-5.4
OpenAI
 $0.091250 (rounded ~ $0.09) ↑ 965.7% more
#27 GPT-5.4 Thinking
OpenAI
 $0.091250 (rounded ~ $0.09) ↑ 965.7% more
#28 GPT-5.5 Instant
OpenAI
 $0.091250 (rounded ~ $0.09) ↑ 965.7% more
#29 GPT-5.6 Sol
OpenAI
 $0.091250 (rounded ~ $0.09) ↑ 965.7% more
#30 o3 Deep Research
OpenAI
 $0.175000 (rounded ~ $0.18) ↑ 1943.8% more
#31 Claude Fable 5
Anthropic
 $0.178750 (rounded ~ $0.18) ↑ 1987.6% more
#32 Claude Mythos 5
Anthropic
 $0.178750 (rounded ~ $0.18) ↑ 1987.6% more
#33 GPT-5.5
OpenAI
 $0.182500 (rounded ~ $0.18) ↑ 2031.4% more
#34 o3 Pro
OpenAI
 $0.350000 ↑ 3987.6% more
#35 GPT-5.2 Pro
OpenAI
 $0.399000 (rounded ~ $0.40) ↑ 4559.9% more
#36 GPT-5.2 Pro
OpenAI
 $0.399000 (rounded ~ $0.40) ↑ 4559.9% more
🏆

Mistral Small 3
Mistral AI

$0.001713
vs Mistral Large 3: ↓ 80%
🥈

Gemini 3.1 Flash Lite
Google

$0.004563
vs Mistral Large 3: ↓ 46.7%
🥉

Gemini 3.5 Flash-Lite
Google

$0.005738 (rounded ~ $0.01)
vs Mistral Large 3: ↓ 33%
#4

Gemini 2.5 Flash
Google

$0.005738 (rounded ~ $0.01)
vs Mistral Large 3: ↓ 33%
#5

GPT-5.4 mini
OpenAI

$0.013688 (rounded ~ $0.01)
vs Mistral Large 3: ↑ 59.9%
#6

o4-mini Deep Research
OpenAI

$0.017500 (rounded ~ $0.02)
vs Mistral Large 3: ↑ 104.4%
#7

Claude Haiku 4.5
Anthropic

$0.017875 (rounded ~ $0.02)
vs Mistral Large 3: ↑ 108.8%
#8

Gemini 3.1 Flash
Google

$0.018250 (rounded ~ $0.02)
vs Mistral Large 3: ↑ 113.1%
#9

GPT-5.6 Luna
OpenAI

$0.018250 (rounded ~ $0.02)
vs Mistral Large 3: ↑ 113.1%
#10

o4-mini
OpenAI

$0.019250
vs Mistral Large 3: ↑ 124.8%
#11

Gemini 3.6 Flash
Google

$0.026813 (rounded ~ $0.03)
vs Mistral Large 3: ↑ 213.1%
#12

Gemini 3.5 Flash
Google

$0.027375 (rounded ~ $0.03)
vs Mistral Large 3: ↑ 219.7%
#13

GPT-5.3 Codex Spark
OpenAI

$0.033250 (rounded ~ $0.03)
vs Mistral Large 3: ↑ 288.3%
#14

GPT-5.3 Instant
OpenAI

$0.033250 (rounded ~ $0.03)
vs Mistral Large 3: ↑ 288.3%
#15

Claude Sonnet 5
Anthropic

$0.035750 (rounded ~ $0.04)
vs Mistral Large 3: ↑ 317.5%
#16

GPT-5.6 Terra
OpenAI

$0.045625 (rounded ~ $0.05)
vs Mistral Large 3: ↑ 432.8%
#17

Gemini 2.5 Pro
Google

$0.047500 (rounded ~ $0.05)
vs Mistral Large 3: ↑ 454.7%
#18

Claude Sonnet 4.6
Anthropic

$0.053625 (rounded ~ $0.05)
vs Mistral Large 3: ↑ 526.3%
#19

Grok 4.3
xAI

$0.067000 (rounded ~ $0.07)
vs Mistral Large 3: ↑ 682.5%
#20

Grok 4.20 Beta
xAI

$0.067000 (rounded ~ $0.07)
vs Mistral Large 3: ↑ 682.5%
#21

Gemini 3.1 Pro
Google

$0.073000 (rounded ~ $0.07)
vs Mistral Large 3: ↑ 752.6%
#22

Claude Opus 4.7
Anthropic

$0.089375
vs Mistral Large 3: ↑ 943.8%
#23

Claude Opus 5
Anthropic

$0.089375
vs Mistral Large 3: ↑ 943.8%
#24

Claude Opus 4.8
Anthropic

$0.089375
vs Mistral Large 3: ↑ 943.8%
#25

Claude Opus 4.6
Anthropic

$0.089375
vs Mistral Large 3: ↑ 943.8%
#26

GPT-5.4
OpenAI

$0.091250 (rounded ~ $0.09)
vs Mistral Large 3: ↑ 965.7%
#27

GPT-5.4 Thinking
OpenAI

$0.091250 (rounded ~ $0.09)
vs Mistral Large 3: ↑ 965.7%
#28

GPT-5.5 Instant
OpenAI

$0.091250 (rounded ~ $0.09)
vs Mistral Large 3: ↑ 965.7%
#29

GPT-5.6 Sol
OpenAI

$0.091250 (rounded ~ $0.09)
vs Mistral Large 3: ↑ 965.7%
#30

o3 Deep Research
OpenAI

$0.175000 (rounded ~ $0.18)
vs Mistral Large 3: ↑ 1943.8%
#31

Claude Fable 5
Anthropic

$0.178750 (rounded ~ $0.18)
vs Mistral Large 3: ↑ 1987.6%
#32

Claude Mythos 5
Anthropic

$0.178750 (rounded ~ $0.18)
vs Mistral Large 3: ↑ 1987.6%
#33

GPT-5.5
OpenAI

$0.182500 (rounded ~ $0.18)
vs Mistral Large 3: ↑ 2031.4%
#34

o3 Pro
OpenAI

$0.350000
vs Mistral Large 3: ↑ 3987.6%
#35

GPT-5.2 Pro
OpenAI

$0.399000 (rounded ~ $0.40)
vs Mistral Large 3: ↑ 4559.9%
#36

GPT-5.2 Pro
OpenAI

$0.399000 (rounded ~ $0.40)
vs Mistral Large 3: ↑ 4559.9%
✨ 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.

Efficiency-First Contract Processing

For indie game developers, solo founders, and smaller studios, the overhead of enterprise-grade AI tools can be prohibitive. Mistral Large 3 offers a compelling middle ground for legal tasks, utilizing a sparse Mixture-of-Experts (MoE) architecture that delivers high-performance reasoning without the massive compute cost associated with dense frontier models.

When reviewing contracts—whether it’s a standard EULA, a publishing agreement, or a vendor contract—the primary requirement is consistent, reliable extraction of key terms like termination clauses, liability caps, and payment schedules. Mistral Large 3 is highly capable of parsing these structures accurately. Because it activates only a subset of parameters per token, it provides a cost-efficient pathway for routine legal work where you don’t necessarily need the maximum-effort reasoning of larger, more expensive models.

The model’s open-weight nature and efficient architecture make it an excellent fit for teams looking to build proprietary legal workflows without total vendor lock-in. It handles the 100K-token range comfortably, allowing you to process multiple documents in a single context window for cross-referencing. For an indie team, the value lies in the balance: you get enterprise-grade performance for routine due diligence, but with a compute footprint that keeps your operational costs predictable. If your workload involves repetitive document analysis where speed and cost-effectiveness are as important as accuracy, Mistral Large 3 is an ideal engine for your internal legal automation.

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 does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
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.