DeepSeek R1 vs Magistral: Open Thinking

DeepSeek R1 is no longer available

This model is deprecated. It may still respond for existing integrations, but it is no longer recommended for new work, and the figures below are retained as a historical record.

See current model pricing →

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 $0.055000 (rounded ~ $0.06)Worst $0.050000Best
Output Cost $0.109500Worst $0.062500 (rounded ~ $0.06)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.164500 (rounded ~ $0.16) Most Expensive $0.112500 (rounded ~ $0.11) Best Value
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 $0.001097Worst $0.000750Best
Tokens per Dollar 911,854Worst Value 1,333,333Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.550000Worst $0.500000Best
Output Cost / 1M (Base) $2.190000Worst $1.250000Best
Input Cost / 1M (Optimized) $0.550000Worst
Optimizations: No optimizations applied
$0.250000Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $2.190000Worst
Optimizations: No optimizations applied
$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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ℹ️ This model is now in Legacy mode. Results are based on last-known pricing.

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

$0.164500 Total Cost
$0.055000 Input Cost
$0.109500 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
$0.001097Cost per 1K
911,854Tokens per $
⚫ Archived Model: This model was retired on July 24, 2026. Prices are historical.
📊 Advanced Cost Breakdown

Processing Speed

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

$0.164500 (rounded ~ $0.16)
Total Cost
⚠️ This model is now in Legacy mode. Results are based on last-known pricing.
📊 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
98% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.164500 (rounded ~ $0.16) Input: $0.055000 (rounded ~ $0.06)
Output: $0.109500
Optimized Cost $0.164500 (rounded ~ $0.16) Input: $0.055000 (rounded ~ $0.06)
Output: $0.109500
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.055000 (rounded ~ $0.06)
  • Output Cost: $0.109500
  • Total Cost: $0.164500 (rounded ~ $0.16)
  • Cost per 1K tokens: $0.001097
  • Tokens per dollar: 911,854 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

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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 ↓ 96.2% cheaper ↓ 94.4% cheaper
🥈 Nemotron 3 Super
NVIDIA
 $0.017750 (rounded ~ $0.02) ↓ 89.2% cheaper ↓ 84.2% cheaper
🥉 Devstral 2
Mistral AI
 $0.021250 (rounded ~ $0.02) ↓ 87.1% cheaper ↓ 81.1% cheaper
#4 Llama 4 Scout
Meta AI
 $0.023000 (rounded ~ $0.02) ↓ 86% cheaper ↓ 79.6% cheaper
#5 Gemini 3.1 Flash Lite
Google
 $0.025000 (rounded ~ $0.03) ↓ 84.8% cheaper ↓ 77.8% cheaper
#6 Mistral Large 3
Mistral AI
 $0.031250 (rounded ~ $0.03) ↓ 81% cheaper ↓ 72.2% cheaper
#7 Gemini 3.5 Flash-Lite
Google
 $0.038750 (rounded ~ $0.04) ↓ 76.4% cheaper ↓ 65.6% cheaper
#8 Gemini 2.5 Flash
Google
 $0.038750 (rounded ~ $0.04) ↓ 76.4% cheaper ↓ 65.6% cheaper
#9 Llama 4 Maverick (400B)
Meta AI
 $0.045000 (rounded ~ $0.05) ↓ 72.6% cheaper ↓ 60% cheaper
#10 Gemini 3.8 Flash
Google
 $0.065625 (rounded ~ $0.07) ↓ 60.1% cheaper ↓ 41.7% cheaper
#11 GPT-5.4 mini
OpenAI
 $0.075000 (rounded ~ $0.08) ↓ 54.4% cheaper ↓ 33.3% cheaper
#12 o4-mini
OpenAI
 $0.082500 (rounded ~ $0.08) ↓ 49.8% cheaper ↓ 26.7% cheaper
#13 Claude Haiku 4.5
Anthropic
 $0.087500 (rounded ~ $0.09) ↓ 46.8% cheaper ↓ 22.2% cheaper
#14 Gemini 3.1 Flash
Google
 $0.100000 ↓ 39.2% cheaper ↓ 11.1% cheaper
#15 GPT-5.6 Luna
OpenAI
 $0.100000 ↓ 39.2% cheaper ↓ 11.1% cheaper
#16 Gemini 3.6 Flash
Google
 $0.131250 (rounded ~ $0.13) ↓ 20.2% cheaper ↑ 16.7% more
#17 Gemini 3.5 Flash
Google
 $0.150000 ↓ 8.8% cheaper ↑ 33.3% more
#18 Claude Sonnet 5
Anthropic
 $0.175000 (rounded ~ $0.18) ↑ 6.4% more ↑ 55.6% more
#19 Grok 4.3
xAI
 $0.200000 ↑ 21.6% more ↑ 77.8% more
#20 Grok 4.20 Beta
xAI
 $0.200000 ↑ 21.6% more ↑ 77.8% more
#21 GPT-5.3 Codex Spark
OpenAI
 $0.218750 (rounded ~ $0.22) ↑ 33% more ↑ 94.4% more
#22 GPT-5.6 Terra
OpenAI
 $0.250000 ↑ 52% more ↑ 122.2% more
#23 Claude Sonnet 4.6
Anthropic
 $0.262500 (rounded ~ $0.26) ↑ 59.6% more ↑ 133.3% more
#24 Gemini 2.5 Pro
Google
 $0.312500 (rounded ~ $0.31) ↑ 90% more ↑ 177.8% more
#25 Gemini 3.1 Pro
Google
 $0.400000 ↑ 143.2% more ↑ 255.6% more
#26 Claude Opus 4.7
Anthropic
 $0.437500 (rounded ~ $0.44) ↑ 166% more ↑ 288.9% more
#27 Claude Opus 5
Anthropic
 $0.437500 (rounded ~ $0.44) ↑ 166% more ↑ 288.9% more
#28 Claude Opus 4.8
Anthropic
 $0.437500 (rounded ~ $0.44) ↑ 166% more ↑ 288.9% more
#29 Claude Opus 4.6
Anthropic
 $0.437500 (rounded ~ $0.44) ↑ 166% more ↑ 288.9% more
#30 GPT-5.4
OpenAI
 $0.500000 ↑ 204% more ↑ 344.4% more
#31 GPT-5.4 Thinking
OpenAI
 $0.500000 ↑ 204% more ↑ 344.4% more
#32 GPT-5.5 Instant
OpenAI
 $0.500000 ↑ 204% more ↑ 344.4% more
#33 GPT-5.6 Sol
OpenAI
 $0.500000 ↑ 204% more ↑ 344.4% more
#34 o3 Deep Research
OpenAI
 $0.750000 ↑ 355.9% more ↑ 566.7% more
#35 Claude Fable 5.1
Anthropic
 $0.875000 (rounded ~ $0.88) ↑ 431.9% more ↑ 677.8% more
#36 Claude Mythos 5.1
Anthropic
 $0.875000 (rounded ~ $0.88) ↑ 431.9% more ↑ 677.8% more
#37 Claude Fable 5
Anthropic
 $0.875000 (rounded ~ $0.88) ↑ 431.9% more ↑ 677.8% more
#38 Claude Mythos 5
Anthropic
 $0.875000 (rounded ~ $0.88) ↑ 431.9% more ↑ 677.8% more
#39 GPT-5.5
OpenAI
 $1.000000 ↑ 507.9% more ↑ 788.9% more
#40 o3 Pro
OpenAI
 $1.500000 ↑ 811.9% more ↑ 1233.3% more
#41 GPT-6 Astra
OpenAI
 $1.750000 ↑ 963.8% more ↑ 1455.6% more
#42 GPT-5.5 Pro
OpenAI
 $3.000000 ↑ 1723.7% more ↑ 2566.7% more
#43 GPT-5.5 Pro
OpenAI
 $3.000000 ↑ 1723.7% more ↑ 2566.7% more
🏆

Devstral Small 2
Mistral AI

$0.006250 (rounded ~ $0.01)
vs DeepSeek R1: ↓ 96.2%
vs Magistral: ↓ 94.4%
🥈

Nemotron 3 Super
NVIDIA

$0.017750 (rounded ~ $0.02)
vs DeepSeek R1: ↓ 89.2%
vs Magistral: ↓ 84.2%
🥉

Devstral 2
Mistral AI

$0.021250 (rounded ~ $0.02)
vs DeepSeek R1: ↓ 87.1%
vs Magistral: ↓ 81.1%
#4

Llama 4 Scout
Meta AI

$0.023000 (rounded ~ $0.02)
vs DeepSeek R1: ↓ 86%
vs Magistral: ↓ 79.6%
#5

Gemini 3.1 Flash Lite
Google

$0.025000 (rounded ~ $0.03)
vs DeepSeek R1: ↓ 84.8%
vs Magistral: ↓ 77.8%
#6

Mistral Large 3
Mistral AI

$0.031250 (rounded ~ $0.03)
vs DeepSeek R1: ↓ 81%
vs Magistral: ↓ 72.2%
#7

Gemini 3.5 Flash-Lite
Google

$0.038750 (rounded ~ $0.04)
vs DeepSeek R1: ↓ 76.4%
vs Magistral: ↓ 65.6%
#8

Gemini 2.5 Flash
Google

$0.038750 (rounded ~ $0.04)
vs DeepSeek R1: ↓ 76.4%
vs Magistral: ↓ 65.6%
#9

Llama 4 Maverick (400B)
Meta AI

$0.045000 (rounded ~ $0.05)
vs DeepSeek R1: ↓ 72.6%
vs Magistral: ↓ 60%
#10

Gemini 3.8 Flash
Google

$0.065625 (rounded ~ $0.07)
vs DeepSeek R1: ↓ 60.1%
vs Magistral: ↓ 41.7%
#11

GPT-5.4 mini
OpenAI

$0.075000 (rounded ~ $0.08)
vs DeepSeek R1: ↓ 54.4%
vs Magistral: ↓ 33.3%
#12

o4-mini
OpenAI

$0.082500 (rounded ~ $0.08)
vs DeepSeek R1: ↓ 49.8%
vs Magistral: ↓ 26.7%
#13

Claude Haiku 4.5
Anthropic

$0.087500 (rounded ~ $0.09)
vs DeepSeek R1: ↓ 46.8%
vs Magistral: ↓ 22.2%
#14

Gemini 3.1 Flash
Google

$0.100000
vs DeepSeek R1: ↓ 39.2%
vs Magistral: ↓ 11.1%
#15

GPT-5.6 Luna
OpenAI

$0.100000
vs DeepSeek R1: ↓ 39.2%
vs Magistral: ↓ 11.1%
#16

Gemini 3.6 Flash
Google

$0.131250 (rounded ~ $0.13)
vs DeepSeek R1: ↓ 20.2%
vs Magistral: ↑ 16.7%
#17

Gemini 3.5 Flash
Google

$0.150000
vs DeepSeek R1: ↓ 8.8%
vs Magistral: ↑ 33.3%
#18

Claude Sonnet 5
Anthropic

$0.175000 (rounded ~ $0.18)
vs DeepSeek R1: ↑ 6.4%
vs Magistral: ↑ 55.6%
#19

Grok 4.3
xAI

$0.200000
vs DeepSeek R1: ↑ 21.6%
vs Magistral: ↑ 77.8%
#20

Grok 4.20 Beta
xAI

$0.200000
vs DeepSeek R1: ↑ 21.6%
vs Magistral: ↑ 77.8%
#21

GPT-5.3 Codex Spark
OpenAI

$0.218750 (rounded ~ $0.22)
vs DeepSeek R1: ↑ 33%
vs Magistral: ↑ 94.4%
#22

GPT-5.6 Terra
OpenAI

$0.250000
vs DeepSeek R1: ↑ 52%
vs Magistral: ↑ 122.2%
#23

Claude Sonnet 4.6
Anthropic

$0.262500 (rounded ~ $0.26)
vs DeepSeek R1: ↑ 59.6%
vs Magistral: ↑ 133.3%
#24

Gemini 2.5 Pro
Google

$0.312500 (rounded ~ $0.31)
vs DeepSeek R1: ↑ 90%
vs Magistral: ↑ 177.8%
#25

Gemini 3.1 Pro
Google

$0.400000
vs DeepSeek R1: ↑ 143.2%
vs Magistral: ↑ 255.6%
#26

Claude Opus 4.7
Anthropic

$0.437500 (rounded ~ $0.44)
vs DeepSeek R1: ↑ 166%
vs Magistral: ↑ 288.9%
#27

Claude Opus 5
Anthropic

$0.437500 (rounded ~ $0.44)
vs DeepSeek R1: ↑ 166%
vs Magistral: ↑ 288.9%
#28

Claude Opus 4.8
Anthropic

$0.437500 (rounded ~ $0.44)
vs DeepSeek R1: ↑ 166%
vs Magistral: ↑ 288.9%
#29

Claude Opus 4.6
Anthropic

$0.437500 (rounded ~ $0.44)
vs DeepSeek R1: ↑ 166%
vs Magistral: ↑ 288.9%
#30

GPT-5.4
OpenAI

$0.500000
vs DeepSeek R1: ↑ 204%
vs Magistral: ↑ 344.4%
#31

GPT-5.4 Thinking
OpenAI

$0.500000
vs DeepSeek R1: ↑ 204%
vs Magistral: ↑ 344.4%
#32

GPT-5.5 Instant
OpenAI

$0.500000
vs DeepSeek R1: ↑ 204%
vs Magistral: ↑ 344.4%
#33

GPT-5.6 Sol
OpenAI

$0.500000
vs DeepSeek R1: ↑ 204%
vs Magistral: ↑ 344.4%
#34

o3 Deep Research
OpenAI

$0.750000
vs DeepSeek R1: ↑ 355.9%
vs Magistral: ↑ 566.7%
#35

Claude Fable 5.1
Anthropic

$0.875000 (rounded ~ $0.88)
vs DeepSeek R1: ↑ 431.9%
vs Magistral: ↑ 677.8%
#36

Claude Mythos 5.1
Anthropic

$0.875000 (rounded ~ $0.88)
vs DeepSeek R1: ↑ 431.9%
vs Magistral: ↑ 677.8%
#37

Claude Fable 5
Anthropic

$0.875000 (rounded ~ $0.88)
vs DeepSeek R1: ↑ 431.9%
vs Magistral: ↑ 677.8%
#38

Claude Mythos 5
Anthropic

$0.875000 (rounded ~ $0.88)
vs DeepSeek R1: ↑ 431.9%
vs Magistral: ↑ 677.8%
#39

GPT-5.5
OpenAI

$1.000000
vs DeepSeek R1: ↑ 507.9%
vs Magistral: ↑ 788.9%
#40

o3 Pro
OpenAI

$1.500000
vs DeepSeek R1: ↑ 811.9%
vs Magistral: ↑ 1233.3%
#41

GPT-6 Astra
OpenAI

$1.750000
vs DeepSeek R1: ↑ 963.8%
vs Magistral: ↑ 1455.6%
#42

GPT-5.5 Pro
OpenAI

$3.000000
vs DeepSeek R1: ↑ 1723.7%
vs Magistral: ↑ 2566.7%
#43

GPT-5.5 Pro
OpenAI

$3.000000
vs DeepSeek R1: ↑ 1723.7%
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.

Related model pricing

DeepSeek R1 currently costs $0.55 / $2.19 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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