Mistral Large 3 Pricing for 100K-Token Legal Due Diligence

Mistral Large 3 has been replaced by Mistral Large 4

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Mistral Large 4 pricing →  ·  All recent pricing changes

Complete Analysis: 102,000 tokens for Mistral Large 3
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Mistral AI's Mistral Large 3 model with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.007625 (rounded ~ $0.01) Total Cost
102,000 Total Tokens
3 minutes, 28.26 seconds Processing Time
490 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
50%
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

$0.007625 Total Cost
$0.006250 Input Cost
$0.000750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
102,000Total Tokens
$0.000075Cost per 1K
13,377,049Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

3m 28s Processing Time
500 Tokens/Second
160ms Time to First Token
490 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

📚 Research & Citations

Fee per source cited

🎤 Realtime Audio & Video

Session length for billing

Mistral Large 3 Mistral AI

$0.007625 (rounded ~ $0.01)
Total Cost
⚡ 50% 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) $0.013250 (rounded ~ $0.01) Input: $0.012500 (rounded ~ $0.01)
Output: $0.000750
Optimized Cost $0.007625 (rounded ~ $0.01) Input: $0.012500 (rounded ~ $0.01)
Output: $0.000750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.005625 (rounded ~ $0.01) 42.5% 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 2,000 output tokens:

  • Input Cost: $0.012500 (rounded ~ $0.01)
  • Output Cost: $0.000750
  • Total Cost: $0.007625 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000075
  • Tokens per dollar: 13,377,049 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, 28.26 seconds
  • Latency: 160 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 490 tokens/second (temperature-adjusted)

Best Use Cases

Legal due diligence and contract analysis where high-fidelity reasoning and data privacy are top priorities.

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.

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✨ Market Recommendations AI Model Registry

← Back to Mistral Large 3
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Mistral Large 3
🏆 Claude Haiku 5.5
Anthropic
 $0.003250 Best Value ↓ 57.4% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.003250 ↓ 57.4% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.003350 ↓ 56.1% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.004188 ↓ 45.1% cheaper
#5 Gemini 3.5 Flash-Lite
Google
 $0.005375 (rounded ~ $0.01) ↓ 29.5% cheaper
#6 Gemini 2.5 Flash
Google
 $0.005375 (rounded ~ $0.01) ↓ 29.5% cheaper
#7 Gemini 3.8 Flash
Google
 $0.012188 (rounded ~ $0.01) ↑ 59.8% more
#8 Gemini 3.6 Flash
Google
 $0.012188 (rounded ~ $0.01) ↑ 59.8% more
#9 GPT-5.4 mini
OpenAI
 $0.012563 (rounded ~ $0.01) ↑ 64.8% more
#10 Claude Haiku 4.5
Anthropic
 $0.016250 (rounded ~ $0.02) ↑ 113.1% more
#11 Gemini 3.1 Flash
Google
 $0.016750 (rounded ~ $0.02) ↑ 119.7% more
#12 Mistral Large 4
Mistral AI
 $0.020790 ↑ 172.7% more
#13 GPT-5.3 Codex Spark
OpenAI
 $0.031063 (rounded ~ $0.03) ↑ 307.4% more
#14 GPT-5.3 Instant
OpenAI
 $0.031063 (rounded ~ $0.03) ↑ 307.4% more
#15 Claude Sonnet 5.5
Anthropic
 $0.031250 (rounded ~ $0.03) ↑ 309.8% more
#16 Claude Sonnet 5
Anthropic
 $0.032500 (rounded ~ $0.03) ↑ 326.2% more
#17 Gemini 4 Argon
Google
 $0.032500 (rounded ~ $0.03) ↑ 326.2% more
#18 GPT-5.6 Terra
OpenAI
 $0.033500 (rounded ~ $0.03) ↑ 339.3% more
#19 Gemini 2.5 Pro
Google
 $0.044375 (rounded ~ $0.04) ↑ 482% more
#20 Claude Sonnet 4.6
Anthropic
 $0.048750 (rounded ~ $0.05) ↑ 539.3% more
#21 Grok 4.3
xAI
 $0.059000 (rounded ~ $0.06) ↑ 673.8% more
#22 Grok 4.20 Beta
xAI
 $0.059000 (rounded ~ $0.06) ↑ 673.8% more
#23 Claude Opus 5.5
Anthropic
 $0.062500 (rounded ~ $0.06) ↑ 719.7% more
#24 GPT-6.1 Sol
OpenAI
 $0.065000 (rounded ~ $0.07) ↑ 752.5% more
#25 GPT-6 Sol
OpenAI
 $0.065000 (rounded ~ $0.07) ↑ 752.5% more
#26 GPT-5.6 Sol
OpenAI
 $0.065000 (rounded ~ $0.07) ↑ 752.5% more
#27 Gemini 3.1 Pro
Google
 $0.067000 (rounded ~ $0.07) ↑ 778.7% more
#28 Claude Opus 4.7
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 965.6% more
#29 Claude Opus 5
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 965.6% more
#30 Claude Opus 4.8
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 965.6% more
#31 Claude Opus 4.6
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 965.6% more
#32 GPT-5.4
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 998.4% more
#33 GPT-5.4 Thinking
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 998.4% more
#34 GPT-5.5 Instant
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 998.4% more
#35 Claude Fable 5.1
Anthropic
 $0.153125 (rounded ~ $0.15) ↑ 1908.2% more
#36 Claude Mythos 5.1
Anthropic
 $0.153125 (rounded ~ $0.15) ↑ 1908.2% more
#37 Claude Fable 5
Anthropic
 $0.162500 (rounded ~ $0.16) ↑ 2031.1% more
#38 Claude Mythos 5
Anthropic
 $0.162500 (rounded ~ $0.16) ↑ 2031.1% more
#39 GPT-5.5
OpenAI
 $0.167500 (rounded ~ $0.17) ↑ 2096.7% more
#40 GPT-6 Astra
OpenAI
 $0.325000 (rounded ~ $0.33) ↑ 4162.3% more
#41 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 4788.5% more
#42 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 4788.5% more
🏆

Claude Haiku 5.5
Anthropic

$0.003250
vs Mistral Large 3: ↓ 57.4%
🥈

GPT-6 Luna
OpenAI

$0.003250
vs Mistral Large 3: ↓ 57.4%
🥉

GPT-5.6 Luna
OpenAI

$0.003350
vs Mistral Large 3: ↓ 56.1%
#4

Gemini 3.1 Flash Lite
Google

$0.004188
vs Mistral Large 3: ↓ 45.1%
#5

Gemini 3.5 Flash-Lite
Google

$0.005375 (rounded ~ $0.01)
vs Mistral Large 3: ↓ 29.5%
#6

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)
vs Mistral Large 3: ↓ 29.5%
#7

Gemini 3.8 Flash
Google

$0.012188 (rounded ~ $0.01)
vs Mistral Large 3: ↑ 59.8%
#8

Gemini 3.6 Flash
Google

$0.012188 (rounded ~ $0.01)
vs Mistral Large 3: ↑ 59.8%
#9

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)
vs Mistral Large 3: ↑ 64.8%
#10

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)
vs Mistral Large 3: ↑ 113.1%
#11

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)
vs Mistral Large 3: ↑ 119.7%
#12

Mistral Large 4
Mistral AI

$0.020790
vs Mistral Large 3: ↑ 172.7%
#13

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)
vs Mistral Large 3: ↑ 307.4%
#14

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)
vs Mistral Large 3: ↑ 307.4%
#15

Claude Sonnet 5.5
Anthropic

$0.031250 (rounded ~ $0.03)
vs Mistral Large 3: ↑ 309.8%
#16

Claude Sonnet 5
Anthropic

$0.032500 (rounded ~ $0.03)
vs Mistral Large 3: ↑ 326.2%
#17

Gemini 4 Argon
Google

$0.032500 (rounded ~ $0.03)
vs Mistral Large 3: ↑ 326.2%
#18

GPT-5.6 Terra
OpenAI

$0.033500 (rounded ~ $0.03)
vs Mistral Large 3: ↑ 339.3%
#19

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)
vs Mistral Large 3: ↑ 482%
#20

Claude Sonnet 4.6
Anthropic

$0.048750 (rounded ~ $0.05)
vs Mistral Large 3: ↑ 539.3%
#21

Grok 4.3
xAI

$0.059000 (rounded ~ $0.06)
vs Mistral Large 3: ↑ 673.8%
#22

Grok 4.20 Beta
xAI

$0.059000 (rounded ~ $0.06)
vs Mistral Large 3: ↑ 673.8%
#23

Claude Opus 5.5
Anthropic

$0.062500 (rounded ~ $0.06)
vs Mistral Large 3: ↑ 719.7%
#24

GPT-6.1 Sol
OpenAI

$0.065000 (rounded ~ $0.07)
vs Mistral Large 3: ↑ 752.5%
#25

GPT-6 Sol
OpenAI

$0.065000 (rounded ~ $0.07)
vs Mistral Large 3: ↑ 752.5%
#26

GPT-5.6 Sol
OpenAI

$0.065000 (rounded ~ $0.07)
vs Mistral Large 3: ↑ 752.5%
#27

Gemini 3.1 Pro
Google

$0.067000 (rounded ~ $0.07)
vs Mistral Large 3: ↑ 778.7%
#28

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)
vs Mistral Large 3: ↑ 965.6%
#29

Claude Opus 5
Anthropic

$0.081250 (rounded ~ $0.08)
vs Mistral Large 3: ↑ 965.6%
#30

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)
vs Mistral Large 3: ↑ 965.6%
#31

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)
vs Mistral Large 3: ↑ 965.6%
#32

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)
vs Mistral Large 3: ↑ 998.4%
#33

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)
vs Mistral Large 3: ↑ 998.4%
#34

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)
vs Mistral Large 3: ↑ 998.4%
#35

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Mistral Large 3: ↑ 1908.2%
#36

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Mistral Large 3: ↑ 1908.2%
#37

Claude Fable 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Mistral Large 3: ↑ 2031.1%
#38

Claude Mythos 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Mistral Large 3: ↑ 2031.1%
#39

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)
vs Mistral Large 3: ↑ 2096.7%
#40

GPT-6 Astra
OpenAI

$0.325000 (rounded ~ $0.33)
vs Mistral Large 3: ↑ 4162.3%
#41

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Mistral Large 3: ↑ 4788.5%
#42

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Mistral Large 3: ↑ 4788.5%
✨ 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.

Mistral Large 3 has established itself as a cornerstone for legal teams requiring robust, open-weights model performance for due diligence. When processing 100K-token document sets, its architecture offers a distinct advantage for teams that need to balance high-level reasoning with the flexibility of self-hosting or specific deployment environments. Unlike smaller, more constrained models, this flagship model maintains high semantic fidelity even when navigating dense, multi-page legal agreements where precision is paramount.

For legal professionals, the primary strength of this model lies in its ability to parse complex regulatory language while minimizing the hallucination risks often seen in smaller parameter models. It excels at identifying conflicting clauses across large document volumes, which is essential during the initial stages of a merger or acquisition discovery process. While it may require slightly more careful prompt engineering compared to some closed-source alternatives, the depth of its reasoning capabilities makes it a reliable choice for sensitive audit trails. Teams that prioritize data sovereignty and long-term control over their model environment often find this to be the superior choice. Its ability to maintain coherence across lengthy, intricate contracts allows practitioners to focus on high-level legal strategy rather than cleaning up model outputs. Integration with existing legal tech stacks is straightforward, making it an efficient addition to established document review workflows where compliance and accuracy are non-negotiable requirements.

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.

Related model pricing

Mistral Large 3 currently costs $0.50 / $1.50 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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