DeepSeek R1 vs Magistral: Open Thinking

DeepSeek R1 vs Magistral
Complete Comparison: 100,000 input tokens × 50,000 output tokens
Comparison Mode

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

📊 Batch API
Comparison Criteria DeepSeek R1
DeepSeek
Magistral
Mistral AI
Calculation Results (Current Inputs)
Input Tokens 100,000 100,000
Output Tokens 50,000 50,000
Cost Breakdown
Input Cost $0.026950 (rounded ~ $0.03)Best $0.050000Worst
Output Cost $0.053655 (rounded ~ $0.05)Best $0.062500 (rounded ~ $0.06)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.080605 Best Value $0.112500 (rounded ~ $0.11) Most Expensive
Processing Time 21 minutes, 52.68 seconds Slowest 5 minutes, 50.18 seconds Fastest
Tokens per Second 120Slowest 450Fastest
Time to First Token 220ms Worst 180ms Best
Cost per 1K tokens $0.000537Best $0.000750Worst
Tokens per Dollar 1,860,927Best Value 1,333,333Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.269500Best $0.500000Worst
Output Cost / 1M (Base) $1.073100 (rounded ~ $1.07)Best $1.250000Worst
Input Cost / 1M (Optimized) $0.188650 (rounded ~ $0.19)Best
Optimizations: 30.0% batch
$0.250000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.751170 (rounded ~ $0.75)Worst
Optimizations: 30.0% batch
$0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ 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)
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

$0.080605 Total Cost
$0.026950 Input Cost
$0.053655 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
150,000Total Tokens
$0.000537Cost per 1K
1,860,927Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

21m 52s Processing Time
120 Tokens/Second
220ms Time to First Token
114 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.

DeepSeek R1 DeepSeek

$0.080605
Total Cost
📊 Batch API
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.080605 Input: $0.026950 (rounded ~ $0.03)
Output: $0.053655 (rounded ~ $0.05)
Optimized Cost $0.080605 Input: $0.026950 (rounded ~ $0.03)
Output: $0.053655 (rounded ~ $0.05)
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

📊 Batch API
30.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.026950 (rounded ~ $0.03)
  • Output Cost: $0.053655 (rounded ~ $0.05)
  • Total Cost: $0.080605
  • Cost per 1K tokens: $0.000537
  • Tokens per dollar: 1,860,927 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: 21 minutes, 52.68 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 120 tokens/second
  • Effective Throughput: 114 tokens/second (temperature-adjusted)

Best Use Cases

Math TutoringSovereign Research

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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.

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Magistral Mistral AI

$0.112500 (rounded ~ $0.11)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 128,000 tokens. Budgeting mode active.
📊 Batch API
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.112500 (rounded ~ $0.11) Input: $0.050000
Output: $0.062500 (rounded ~ $0.06)
Optimized Cost $0.112500 (rounded ~ $0.11) Input: $0.050000
Output: $0.062500 (rounded ~ $0.06)
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.050000
  • Output Cost: $0.062500 (rounded ~ $0.06)
  • Total Cost: $0.112500 (rounded ~ $0.11)
  • Cost per 1K tokens: $0.000750
  • Tokens per dollar: 1,333,333 tokens
  • Context Window: 128000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 180ms time to first token:

  • Processing Time: 5 minutes, 50.18 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 429 tokens/second (temperature-adjusted)

Best Use Cases

Math TutoringSovereign Research

Want this applied to YOUR actual stack?

This calculator shows the math for Magistral. 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: 50,000
Batch API: Enabled (50% discount)
Rank AI Model & Provider Total Cost vs DeepSeek R1 vs Magistral
🏆 Devstral Small 2
Mistral AI
 $0.006250 (rounded ~ $0.01) Best Value ↓ 92.2% cheaper ↓ 94.4% cheaper
🥈 Nemotron 3 Super
Mistral AI
 $0.017750 (rounded ~ $0.02) ↓ 78% cheaper ↓ 84.2% cheaper
🥉 Devstral 2
Mistral AI
 $0.021250 (rounded ~ $0.02) ↓ 73.6% cheaper ↓ 81.1% cheaper
#4 Llama 4 Scout
Meta AI
 $0.023000 (rounded ~ $0.02) ↓ 71.5% cheaper ↓ 79.6% cheaper
#5 Grok Code Fast 1
xAI
 $0.023750 (rounded ~ $0.02) ↓ 70.5% cheaper ↓ 78.9% cheaper
#6 Gemini 3.1 Flash Lite
Google
 $0.025000 (rounded ~ $0.03) ↓ 69% cheaper ↓ 77.8% cheaper
#7 Mistral Large 3
Mistral AI
 $0.031250 (rounded ~ $0.03) ↓ 61.2% cheaper ↓ 72.2% cheaper
#8 Gemini 2.5 Flash
Google
 $0.038750 (rounded ~ $0.04) ↓ 51.9% cheaper ↓ 65.6% cheaper
#9 Llama 4 Maverick (400B)
Meta AI
 $0.045000 (rounded ~ $0.05) ↓ 44.2% cheaper ↓ 60% cheaper
#10 Grok 4.3
xAI
 $0.062500 (rounded ~ $0.06) ↓ 22.5% cheaper ↓ 44.4% cheaper
#11 GPT-5.4 mini
OpenAI
 $0.075000 (rounded ~ $0.08) ↓ 7% cheaper ↓ 33.3% cheaper
#12 o4-mini
OpenAI
 $0.082500 (rounded ~ $0.08) ↑ 2.4% more ↓ 26.7% cheaper
#13 Claude Haiku 4.5
Anthropic
 $0.087500 (rounded ~ $0.09) ↑ 8.6% more ↓ 22.2% cheaper
#14 Gemini 3.1 Flash
Google
 $0.100000 ↑ 24.1% more ↓ 11.1% cheaper
#15 Grok 4.20 Beta
xAI
 $0.125000 (rounded ~ $0.13) ↑ 55.1% more ↑ 11.1% more
#16 Gemini 3.5 Flash
Google
 $0.150000 ↑ 86.1% more ↑ 33.3% more
#17 GPT-5.3 Codex Spark
OpenAI
 $0.218750 (rounded ~ $0.22) ↑ 171.4% more ↑ 94.4% more
#18 Claude Sonnet 4.6
Anthropic
 $0.262500 (rounded ~ $0.26) ↑ 225.7% more ↑ 133.3% more
#19 Gemini 2.5 Pro
Google
 $0.312500 (rounded ~ $0.31) ↑ 287.7% more ↑ 177.8% more
#20 Gemini 3.1 Pro
Google
 $0.400000 ↑ 396.2% more ↑ 255.6% more
#21 Claude Opus 4.7
Anthropic
 $0.437500 (rounded ~ $0.44) ↑ 442.8% more ↑ 288.9% more
#22 Claude Opus 4.8
Anthropic
 $0.437500 (rounded ~ $0.44) ↑ 442.8% more ↑ 288.9% more
#23 Claude Opus 4.6
Anthropic
 $0.437500 (rounded ~ $0.44) ↑ 442.8% more ↑ 288.9% more
#24 GPT-5.4
OpenAI
 $0.500000 ↑ 520.3% more ↑ 344.4% more
#25 GPT-5.4 Thinking
OpenAI
 $0.500000 ↑ 520.3% more ↑ 344.4% more
#26 GPT-5.5 Instant
OpenAI
 $0.500000 ↑ 520.3% more ↑ 344.4% more
#27 o3 Deep Research
OpenAI
 $0.750000 ↑ 830.5% more ↑ 566.7% more
#28 GPT-5.5
OpenAI
 $1.000000 ↑ 1140.6% more ↑ 788.9% more
#29 o3 Pro
OpenAI
 $1.500000 ↑ 1760.9% more ↑ 1233.3% more
#30 GPT-5.5 Pro
OpenAI
 $3.000000 ↑ 3621.9% more ↑ 2566.7% more
#31 GPT-5.5 Pro
OpenAI
 $3.000000 ↑ 3621.9% more ↑ 2566.7% more
🏆

Devstral Small 2
Mistral AI

$0.006250 (rounded ~ $0.01)
vs DeepSeek R1: ↓ 92.2%
vs Magistral: ↓ 94.4%
🥈

Nemotron 3 Super
Mistral AI

$0.017750 (rounded ~ $0.02)
vs DeepSeek R1: ↓ 78%
vs Magistral: ↓ 84.2%
🥉

Devstral 2
Mistral AI

$0.021250 (rounded ~ $0.02)
vs DeepSeek R1: ↓ 73.6%
vs Magistral: ↓ 81.1%
#4

Llama 4 Scout
Meta AI

$0.023000 (rounded ~ $0.02)
vs DeepSeek R1: ↓ 71.5%
vs Magistral: ↓ 79.6%
#5

Grok Code Fast 1
xAI

$0.023750 (rounded ~ $0.02)
vs DeepSeek R1: ↓ 70.5%
vs Magistral: ↓ 78.9%
#6

Gemini 3.1 Flash Lite
Google

$0.025000 (rounded ~ $0.03)
vs DeepSeek R1: ↓ 69%
vs Magistral: ↓ 77.8%
#7

Mistral Large 3
Mistral AI

$0.031250 (rounded ~ $0.03)
vs DeepSeek R1: ↓ 61.2%
vs Magistral: ↓ 72.2%
#8

Gemini 2.5 Flash
Google

$0.038750 (rounded ~ $0.04)
vs DeepSeek R1: ↓ 51.9%
vs Magistral: ↓ 65.6%
#9

Llama 4 Maverick (400B)
Meta AI

$0.045000 (rounded ~ $0.05)
vs DeepSeek R1: ↓ 44.2%
vs Magistral: ↓ 60%
#10

Grok 4.3
xAI

$0.062500 (rounded ~ $0.06)
vs DeepSeek R1: ↓ 22.5%
vs Magistral: ↓ 44.4%
#11

GPT-5.4 mini
OpenAI

$0.075000 (rounded ~ $0.08)
vs DeepSeek R1: ↓ 7%
vs Magistral: ↓ 33.3%
#12

o4-mini
OpenAI

$0.082500 (rounded ~ $0.08)
vs DeepSeek R1: ↑ 2.4%
vs Magistral: ↓ 26.7%
#13

Claude Haiku 4.5
Anthropic

$0.087500 (rounded ~ $0.09)
vs DeepSeek R1: ↑ 8.6%
vs Magistral: ↓ 22.2%
#14

Gemini 3.1 Flash
Google

$0.100000
vs DeepSeek R1: ↑ 24.1%
vs Magistral: ↓ 11.1%
#15

Grok 4.20 Beta
xAI

$0.125000 (rounded ~ $0.13)
vs DeepSeek R1: ↑ 55.1%
vs Magistral: ↑ 11.1%
#16

Gemini 3.5 Flash
Google

$0.150000
vs DeepSeek R1: ↑ 86.1%
vs Magistral: ↑ 33.3%
#17

GPT-5.3 Codex Spark
OpenAI

$0.218750 (rounded ~ $0.22)
vs DeepSeek R1: ↑ 171.4%
vs Magistral: ↑ 94.4%
#18

Claude Sonnet 4.6
Anthropic

$0.262500 (rounded ~ $0.26)
vs DeepSeek R1: ↑ 225.7%
vs Magistral: ↑ 133.3%
#19

Gemini 2.5 Pro
Google

$0.312500 (rounded ~ $0.31)
vs DeepSeek R1: ↑ 287.7%
vs Magistral: ↑ 177.8%
#20

Gemini 3.1 Pro
Google

$0.400000
vs DeepSeek R1: ↑ 396.2%
vs Magistral: ↑ 255.6%
#21

Claude Opus 4.7
Anthropic

$0.437500 (rounded ~ $0.44)
vs DeepSeek R1: ↑ 442.8%
vs Magistral: ↑ 288.9%
#22

Claude Opus 4.8
Anthropic

$0.437500 (rounded ~ $0.44)
vs DeepSeek R1: ↑ 442.8%
vs Magistral: ↑ 288.9%
#23

Claude Opus 4.6
Anthropic

$0.437500 (rounded ~ $0.44)
vs DeepSeek R1: ↑ 442.8%
vs Magistral: ↑ 288.9%
#24

GPT-5.4
OpenAI

$0.500000
vs DeepSeek R1: ↑ 520.3%
vs Magistral: ↑ 344.4%
#25

GPT-5.4 Thinking
OpenAI

$0.500000
vs DeepSeek R1: ↑ 520.3%
vs Magistral: ↑ 344.4%
#26

GPT-5.5 Instant
OpenAI

$0.500000
vs DeepSeek R1: ↑ 520.3%
vs Magistral: ↑ 344.4%
#27

o3 Deep Research
OpenAI

$0.750000
vs DeepSeek R1: ↑ 830.5%
vs Magistral: ↑ 566.7%
#28

GPT-5.5
OpenAI

$1.000000
vs DeepSeek R1: ↑ 1140.6%
vs Magistral: ↑ 788.9%
#29

o3 Pro
OpenAI

$1.500000
vs DeepSeek R1: ↑ 1760.9%
vs Magistral: ↑ 1233.3%
#30

GPT-5.5 Pro
OpenAI

$3.000000
vs DeepSeek R1: ↑ 3621.9%
vs Magistral: ↑ 2566.7%
#31

GPT-5.5 Pro
OpenAI

$3.000000
vs DeepSeek R1: ↑ 3621.9%
vs Magistral: ↑ 2566.7%
✨ 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 Reasoning Revolution

DeepSeek R1 brings reinforcement-learned logic to an affordable price point. Mistral’s Magistral is the European flagship for thinking-based models within a 128k window. Both models offer ‘Thinking’ tokens billed at output rates. R1 is the king of cost-efficiency ($0.55 in), while Magistral provides a more concise, EU-sovereign reasoning experience.

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.