Cost Optimization: DeepSeek R1 vs Mistral Large 3 for 100K-Token Routing Tasks

DeepSeek R1 vs Mistral Large 3
Complete Comparison: 100,000 input tokens × 500 output tokens
Comparison Mode
⚡ 40% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 40% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria DeepSeek R1
DeepSeek
Mistral Large 3
Mistral AI
Calculation Results (Current Inputs) (40% cached)
Input Tokens 100,000 100,000
Output Tokens 500 500
Cost Breakdown
Input Cost $0.055000 (rounded ~ $0.06)Worst $0.050000Best
Output Cost $0.001095Worst $0.000750Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.036295 (rounded ~ $0.04) Most Expensive $0.032750 (rounded ~ $0.03) Best Value
Processing Time 14 minutes, 56.31 seconds Slowest 3 minutes, 35.25 seconds Fastest
Tokens per Second 120Slowest 500Fastest
Time to First Token 220ms Worst 160ms Best
Cost per 1K tokens $0.000361Worst $0.000326Best
Tokens per Dollar 2,768,976Worst Value 3,068,702Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.550000Worst $0.500000Best
Output Cost / 1M (Base) $2.190000Worst $1.500000Best
Input Cost / 1M (Optimized) $0.550000Worst
Optimizations: No optimizations applied
$0.500000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $2.190000Worst
Optimizations: No optimizations applied
$1.500000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Caching Support
40
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✗ Not Supported ✓ Supported
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Select AI Model

DeepSeek R1
DeepSeekMax Context: 163,840 tokens
$0.55 / $2.19 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

$0.036295 Total Cost
$0.033000 Input Cost
$0.001095 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
100,500Total Tokens
$0.000361Cost per 1K
2,768,976Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

14m 56s Processing Time
120 Tokens/Second
220ms Time to First Token
112 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

DeepSeek R1 DeepSeek

$0.036295 (rounded ~ $0.04)
Total Cost
⚡ 40% Cached 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available requested
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.056095 (rounded ~ $0.06) Input: $0.055000 (rounded ~ $0.06)
Output: $0.001095
Optimized Cost $0.036295 (rounded ~ $0.04) Input: $0.055000 (rounded ~ $0.06)
Output: $0.001095
Unit: $0.000000
Fees: $0.000000
Total Savings $0.019800 35.3% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 500 output tokens:

  • Input Cost: $0.055000 (rounded ~ $0.06)
  • Output Cost: $0.001095
  • Total Cost: $0.036295 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.000361
  • Tokens per dollar: 2,768,976 tokens
  • Context Window: 163840 tokens

Speed & Performance Analysis

With a processing speed of 120 tokens per second and 220ms time to first token:

  • Processing Time: 14 minutes, 56.31 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 120 tokens/second
  • Effective Throughput: 112 tokens/second (temperature-adjusted)

Best Use Cases

DeepSeek R1 for complex reasoning/routing; Mistral Large 3 for high-throughputlatency-sensitive standard tasks.

Want this applied to YOUR actual stack?

This calculator shows the math for DeepSeek R1. 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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Mistral Large 3 Mistral AI

$0.032750 (rounded ~ $0.03)
Total Cost
⚡ 40% Cached 🔧 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) $0.050750 Input: $0.050000
Output: $0.000750
Optimized Cost $0.032750 (rounded ~ $0.03) Input: $0.050000
Output: $0.000750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.018000 (rounded ~ $0.02) 35.5% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 500 output tokens:

  • Input Cost: $0.050000
  • Output Cost: $0.000750
  • Total Cost: $0.032750 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.000326
  • Tokens per dollar: 3,068,702 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, 35.25 seconds
  • Latency: 160 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second (temperature-adjusted)

Best Use Cases

DeepSeek R1 for complex reasoning/routing; Mistral Large 3 for high-throughputlatency-sensitive standard tasks.

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.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to DeepSeek R1
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 500
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs DeepSeek R1 vs Mistral Large 3
🏆 Mistral Small 3
Mistral AI
 $0.006550 (rounded ~ $0.01) Best Value ↓ 82% cheaper ↓ 80% cheaper
🥈 Grok Code Fast 1
xAI
 $0.013550 (rounded ~ $0.01) ↓ 62.7% cheaper ↓ 58.6% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.016750 (rounded ~ $0.02) ↓ 53.9% cheaper ↓ 48.9% cheaper
#4 Gemini 2.5 Flash
Google
 $0.020450 ↓ 43.7% cheaper ↓ 37.6% cheaper
#5 Mistral Large 3
Mistral AI
 $0.032750 (rounded ~ $0.03) ↓ 9.8% cheaper Same price
#6 Gemini 3.1 Flash
Google
 $0.033500 (rounded ~ $0.03) ↓ 7.7% cheaper ↑ 2.3% more
#7 Kimi K2.5
Moonshot AI
 $0.041580 (rounded ~ $0.04) ↑ 14.6% more ↑ 27% more
#8 GPT-5.4 mini
OpenAI
 $0.050250 ↑ 38.4% more ↑ 53.4% more
#9 Kimi K2.6
Moonshot AI
 $0.065460 (rounded ~ $0.07) ↑ 80.4% more ↑ 99.9% more
#10 o4-mini Deep Research
OpenAI
 $0.066000 (rounded ~ $0.07) ↑ 81.8% more ↑ 101.5% more
#11 Claude Haiku 4.5
Anthropic
 $0.066500 (rounded ~ $0.07) ↑ 83.2% more ↑ 103.1% more
#12 o4-mini
OpenAI
 $0.072600 (rounded ~ $0.07) ↑ 100% more ↑ 121.7% more
#13 Grok 4.3
xAI
 $0.081250 (rounded ~ $0.08) ↑ 123.9% more ↑ 148.1% more
#14 Gemini 2.5 Pro
Google
 $0.085000 (rounded ~ $0.09) ↑ 134.2% more ↑ 159.5% more
#15 Gemini 3.5 Flash
Google
 $0.100500 ↑ 176.9% more ↑ 206.9% more
#16 GPT-5.3 Codex Spark
OpenAI
 $0.119000 ↑ 227.9% more ↑ 263.4% more
#17 GPT-5.3 Instant
OpenAI
 $0.119000 ↑ 227.9% more ↑ 263.4% more
#18 Grok 4.20 Beta
xAI
 $0.131000 (rounded ~ $0.13) ↑ 260.9% more ↑ 300% more
#19 Gemini 3.1 Pro
Google
 $0.134000 (rounded ~ $0.13) ↑ 269.2% more ↑ 309.2% more
#20 GPT-5.4
OpenAI
 $0.167500 (rounded ~ $0.17) ↑ 361.5% more ↑ 411.5% more
#21 GPT-5.4 Thinking
OpenAI
 $0.167500 (rounded ~ $0.17) ↑ 361.5% more ↑ 411.5% more
#22 Claude Sonnet 4.6
Anthropic
 $0.199500 ↑ 449.7% more ↑ 509.2% more
#23 Claude Opus 4.7
Anthropic
 $0.332500 (rounded ~ $0.33) ↑ 816.1% more ↑ 915.3% more
#24 Claude Opus 4.8
Anthropic
 $0.332500 (rounded ~ $0.33) ↑ 816.1% more ↑ 915.3% more
#25 Claude Opus 4.6
Anthropic
 $0.332500 (rounded ~ $0.33) ↑ 816.1% more ↑ 915.3% more
#26 GPT-5.5
OpenAI
 $0.335000 (rounded ~ $0.34) ↑ 823% more ↑ 922.9% more
#27 GPT-5.5 Instant
OpenAI
 $0.335000 (rounded ~ $0.34) ↑ 823% more ↑ 922.9% more
#28 o3 Deep Research
OpenAI
 $0.660000 ↑ 1718.4% more ↑ 1915.3% more
#29 o3 Pro
OpenAI
 $1.320000 ↑ 3536.9% more ↑ 3930.5% more
#30 GPT-5.2 Pro
OpenAI
 $1.428000 (rounded ~ $1.43) ↑ 3834.4% more ↑ 4260.3% more
#31 GPT-5.2 Pro
OpenAI
 $1.428000 (rounded ~ $1.43) ↑ 3834.4% more ↑ 4260.3% more
🏆

Mistral Small 3
Mistral AI

$0.006550 (rounded ~ $0.01)
vs DeepSeek R1: ↓ 82%
vs Mistral Large 3: ↓ 80%
🥈

Grok Code Fast 1
xAI

$0.013550 (rounded ~ $0.01)
vs DeepSeek R1: ↓ 62.7%
vs Mistral Large 3: ↓ 58.6%
🥉

Gemini 3.1 Flash Lite
Google

$0.016750 (rounded ~ $0.02)
vs DeepSeek R1: ↓ 53.9%
vs Mistral Large 3: ↓ 48.9%
#4

Gemini 2.5 Flash
Google

$0.020450
vs DeepSeek R1: ↓ 43.7%
vs Mistral Large 3: ↓ 37.6%
#5

Mistral Large 3
Mistral AI

$0.032750 (rounded ~ $0.03)
vs DeepSeek R1: ↓ 9.8%
vs Mistral Large 3: Same
#6

Gemini 3.1 Flash
Google

$0.033500 (rounded ~ $0.03)
vs DeepSeek R1: ↓ 7.7%
vs Mistral Large 3: ↑ 2.3%
#7

Kimi K2.5
Moonshot AI

$0.041580 (rounded ~ $0.04)
vs DeepSeek R1: ↑ 14.6%
vs Mistral Large 3: ↑ 27%
#8

GPT-5.4 mini
OpenAI

$0.050250
vs DeepSeek R1: ↑ 38.4%
vs Mistral Large 3: ↑ 53.4%
#9

Kimi K2.6
Moonshot AI

$0.065460 (rounded ~ $0.07)
vs DeepSeek R1: ↑ 80.4%
vs Mistral Large 3: ↑ 99.9%
#10

o4-mini Deep Research
OpenAI

$0.066000 (rounded ~ $0.07)
vs DeepSeek R1: ↑ 81.8%
vs Mistral Large 3: ↑ 101.5%
#11

Claude Haiku 4.5
Anthropic

$0.066500 (rounded ~ $0.07)
vs DeepSeek R1: ↑ 83.2%
vs Mistral Large 3: ↑ 103.1%
#12

o4-mini
OpenAI

$0.072600 (rounded ~ $0.07)
vs DeepSeek R1: ↑ 100%
vs Mistral Large 3: ↑ 121.7%
#13

Grok 4.3
xAI

$0.081250 (rounded ~ $0.08)
vs DeepSeek R1: ↑ 123.9%
vs Mistral Large 3: ↑ 148.1%
#14

Gemini 2.5 Pro
Google

$0.085000 (rounded ~ $0.09)
vs DeepSeek R1: ↑ 134.2%
vs Mistral Large 3: ↑ 159.5%
#15

Gemini 3.5 Flash
Google

$0.100500
vs DeepSeek R1: ↑ 176.9%
vs Mistral Large 3: ↑ 206.9%
#16

GPT-5.3 Codex Spark
OpenAI

$0.119000
vs DeepSeek R1: ↑ 227.9%
vs Mistral Large 3: ↑ 263.4%
#17

GPT-5.3 Instant
OpenAI

$0.119000
vs DeepSeek R1: ↑ 227.9%
vs Mistral Large 3: ↑ 263.4%
#18

Grok 4.20 Beta
xAI

$0.131000 (rounded ~ $0.13)
vs DeepSeek R1: ↑ 260.9%
vs Mistral Large 3: ↑ 300%
#19

Gemini 3.1 Pro
Google

$0.134000 (rounded ~ $0.13)
vs DeepSeek R1: ↑ 269.2%
vs Mistral Large 3: ↑ 309.2%
#20

GPT-5.4
OpenAI

$0.167500 (rounded ~ $0.17)
vs DeepSeek R1: ↑ 361.5%
vs Mistral Large 3: ↑ 411.5%
#21

GPT-5.4 Thinking
OpenAI

$0.167500 (rounded ~ $0.17)
vs DeepSeek R1: ↑ 361.5%
vs Mistral Large 3: ↑ 411.5%
#22

Claude Sonnet 4.6
Anthropic

$0.199500
vs DeepSeek R1: ↑ 449.7%
vs Mistral Large 3: ↑ 509.2%
#23

Claude Opus 4.7
Anthropic

$0.332500 (rounded ~ $0.33)
vs DeepSeek R1: ↑ 816.1%
vs Mistral Large 3: ↑ 915.3%
#24

Claude Opus 4.8
Anthropic

$0.332500 (rounded ~ $0.33)
vs DeepSeek R1: ↑ 816.1%
vs Mistral Large 3: ↑ 915.3%
#25

Claude Opus 4.6
Anthropic

$0.332500 (rounded ~ $0.33)
vs DeepSeek R1: ↑ 816.1%
vs Mistral Large 3: ↑ 915.3%
#26

GPT-5.5
OpenAI

$0.335000 (rounded ~ $0.34)
vs DeepSeek R1: ↑ 823%
vs Mistral Large 3: ↑ 922.9%
#27

GPT-5.5 Instant
OpenAI

$0.335000 (rounded ~ $0.34)
vs DeepSeek R1: ↑ 823%
vs Mistral Large 3: ↑ 922.9%
#28

o3 Deep Research
OpenAI

$0.660000
vs DeepSeek R1: ↑ 1718.4%
vs Mistral Large 3: ↑ 1915.3%
#29

o3 Pro
OpenAI

$1.320000
vs DeepSeek R1: ↑ 3536.9%
vs Mistral Large 3: ↑ 3930.5%
#30

GPT-5.2 Pro
OpenAI

$1.428000 (rounded ~ $1.43)
vs DeepSeek R1: ↑ 3834.4%
vs Mistral Large 3: ↑ 4260.3%
#31

GPT-5.2 Pro
OpenAI

$1.428000 (rounded ~ $1.43)
vs DeepSeek R1: ↑ 3834.4%
vs Mistral Large 3: ↑ 4260.3%
✨ 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.

For voice AI systems handling high volumes of inbound calls, efficient routing is the primary driver of total cost-of-ownership. DeepSeek R1 and Mistral Large 3 represent two distinct strategies for managing these routing tasks. DeepSeek R1 is increasingly chosen for tasks requiring deep reasoning, such as sentiment analysis or complex intent classification, where a model must ‘think’ before it routes to the correct agent. This reasoning-first approach ensures accuracy but requires careful management of output tokens to keep costs controlled. Mistral Large 3, by contrast, offers a highly efficient alternative for high-throughput routing where speed and cost-per-token are the primary constraints. It excels at standard classification and extraction tasks, providing a stable, fast response that keeps voice latency low—a non-negotiable requirement for conversational interfaces. When routing 100K-token loads, Mistral Large 3 often provides a smoother pipeline for teams that need to integrate directly into existing CRM or ERP workflows without the overhead of heavy reasoning cycles. Conversely, DeepSeek R1 is better suited for edge cases where the initial routing decision is difficult and requires nuanced understanding of user context. By splitting traffic between these two—using R1 for complex escalations and Mistral Large 3 for standard triage—teams can build a cost-optimized architecture that balances accuracy with operational efficiency.

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.