AI Code Review Assistant: Scaling to 200,000-Token Pull Request Analysis with DeepSeek R1

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 →

Complete Analysis: 201,500 tokens for DeepSeek R1
⚡ 40% Cached

Complete analysis of pricing, performance, and use cases for DeepSeek's DeepSeek R1 model with 40% Cached.

⚡ Caching Optimized (up to 98% savings)
$0.070165 Total Cost
201,500 Total Tokens
28 minutes, 49.72 seconds Processing Time
117 Effective Tokens/Sec

Click Recalculate to update after making changes

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)
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

$0.070165 Total Cost
$0.066000 Input Cost
$0.003285 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
201,500Total Tokens
$0.000348Cost per 1K
2,871,802Tokens per $
⚫ Archived Model: This model was retired on July 24, 2026. Prices are historical.
📊 Advanced Cost Breakdown

Processing Speed

28m 49s Processing Time
120 Tokens/Second
220ms Time to First Token
117 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

DeepSeek R1 DeepSeek

$0.070165
Total Cost
⚠️ This model is now in Legacy mode. Results are based on last-known pricing.
⚡ 40% Cached 📊 Batch API 🔧 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
98% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.113285 (rounded ~ $0.11) Input: $0.110000
Output: $0.003285
Optimized Cost $0.070165 Input: $0.110000
Output: $0.003285
Unit: $0.000000
Fees: $0.000000
Total Savings $0.043120 (rounded ~ $0.04) 38.1% discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 1,500 output tokens:

  • Input Cost: $0.110000
  • Output Cost: $0.003285
  • Total Cost: $0.070165
  • Cost per 1K tokens: $0.000348
  • Tokens per dollar: 2,871,802 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: 28 minutes, 49.72 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 120 tokens/second
  • Effective Throughput: 117 tokens/second (temperature-adjusted)

Best Use Cases

DeepSeek R1 is the ideal choice for complex code reasoninglogic verificationand reducing false positives in automated high-volume PR reviews.

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✨ Market Recommendations AI Model Registry

← Back to DeepSeek R1
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 1,500
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs DeepSeek R1
🏆 Gemini 3.1 Flash Lite
Google
 $0.008563 (rounded ~ $0.01) Best Value ↓ 87.8% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.010538 ↓ 85% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.010538 ↓ 85% cheaper
#4 Mistral Large 3
Mistral AI
 $0.016563 (rounded ~ $0.02) ↓ 76.4% cheaper
#5 Gemini 3.8 Flash
Google
 $0.025406 (rounded ~ $0.03) ↓ 63.8% cheaper
#6 GPT-5.4 mini
OpenAI
 $0.025688 (rounded ~ $0.03) ↓ 63.4% cheaper
#7 Claude Haiku 4.5
Anthropic
 $0.033875 (rounded ~ $0.03) ↓ 51.7% cheaper
#8 GPT-5.6 Luna
OpenAI
 $0.034250 (rounded ~ $0.03) ↓ 51.2% cheaper
#9 Gemini 3.6 Flash
Google
 $0.050813 ↓ 27.6% cheaper
#10 Gemini 3.5 Flash
Google
 $0.051375 (rounded ~ $0.05) ↓ 26.8% cheaper
#11 Claude Sonnet 5
Anthropic
 $0.067750 (rounded ~ $0.07) ↓ 3.4% cheaper
#12 Gemini 3.1 Flash
Google
 $0.068500 (rounded ~ $0.07) ↓ 2.4% cheaper
#13 GPT-5.6 Terra
OpenAI
 $0.085625 (rounded ~ $0.09) ↑ 22% more
#14 Claude Sonnet 4.6
Anthropic
 $0.101625 (rounded ~ $0.10) ↑ 44.8% more
#15 Claude Opus 4.7
Anthropic
 $0.169375 ↑ 141.4% more
#16 Claude Opus 5
Anthropic
 $0.169375 ↑ 141.4% more
#17 Claude Opus 4.8
Anthropic
 $0.169375 ↑ 141.4% more
#18 Claude Opus 4.6
Anthropic
 $0.169375 ↑ 141.4% more
#19 GPT-5.4
OpenAI
 $0.171250 (rounded ~ $0.17) ↑ 144.1% more
#20 GPT-5.4 Thinking
OpenAI
 $0.171250 (rounded ~ $0.17) ↑ 144.1% more
#21 Gemini 2.5 Pro
Google
 $0.171250 (rounded ~ $0.17) ↑ 144.1% more
#22 GPT-5.5 Instant
OpenAI
 $0.171250 (rounded ~ $0.17) ↑ 144.1% more
#23 GPT-5.6 Sol
OpenAI
 $0.171250 (rounded ~ $0.17) ↑ 144.1% more
#24 Grok 4.3
xAI
 $0.262000 (rounded ~ $0.26) ↑ 273.4% more
#25 Grok 4.20 Beta
xAI
 $0.262000 (rounded ~ $0.26) ↑ 273.4% more
#26 Gemini 3.1 Pro
Google
 $0.269500 ↑ 284.1% more
#27 Claude Fable 5.1
Anthropic
 $0.323750 (rounded ~ $0.32) ↑ 361.4% more
#28 Claude Mythos 5.1
Anthropic
 $0.323750 (rounded ~ $0.32) ↑ 361.4% more
#29 Claude Fable 5
Anthropic
 $0.338750 (rounded ~ $0.34) ↑ 382.8% more
#30 Claude Mythos 5
Anthropic
 $0.338750 (rounded ~ $0.34) ↑ 382.8% more
#31 GPT-5.5
OpenAI
 $0.673750 (rounded ~ $0.67) ↑ 860.2% more
#32 GPT-6 Astra
OpenAI
 $1.355000 (rounded ~ $1.36) ↑ 1831.2% more
#33 GPT-6 Astra
OpenAI
 $1.355000 (rounded ~ $1.36) ↑ 1831.2% more
🏆

Gemini 3.1 Flash Lite
Google

$0.008563 (rounded ~ $0.01)
vs DeepSeek R1: ↓ 87.8%
🥈

Gemini 3.5 Flash-Lite
Google

$0.010538
vs DeepSeek R1: ↓ 85%
🥉

Gemini 2.5 Flash
Google

$0.010538
vs DeepSeek R1: ↓ 85%
#4

Mistral Large 3
Mistral AI

$0.016563 (rounded ~ $0.02)
vs DeepSeek R1: ↓ 76.4%
#5

Gemini 3.8 Flash
Google

$0.025406 (rounded ~ $0.03)
vs DeepSeek R1: ↓ 63.8%
#6

GPT-5.4 mini
OpenAI

$0.025688 (rounded ~ $0.03)
vs DeepSeek R1: ↓ 63.4%
#7

Claude Haiku 4.5
Anthropic

$0.033875 (rounded ~ $0.03)
vs DeepSeek R1: ↓ 51.7%
#8

GPT-5.6 Luna
OpenAI

$0.034250 (rounded ~ $0.03)
vs DeepSeek R1: ↓ 51.2%
#9

Gemini 3.6 Flash
Google

$0.050813
vs DeepSeek R1: ↓ 27.6%
#10

Gemini 3.5 Flash
Google

$0.051375 (rounded ~ $0.05)
vs DeepSeek R1: ↓ 26.8%
#11

Claude Sonnet 5
Anthropic

$0.067750 (rounded ~ $0.07)
vs DeepSeek R1: ↓ 3.4%
#12

Gemini 3.1 Flash
Google

$0.068500 (rounded ~ $0.07)
vs DeepSeek R1: ↓ 2.4%
#13

GPT-5.6 Terra
OpenAI

$0.085625 (rounded ~ $0.09)
vs DeepSeek R1: ↑ 22%
#14

Claude Sonnet 4.6
Anthropic

$0.101625 (rounded ~ $0.10)
vs DeepSeek R1: ↑ 44.8%
#15

Claude Opus 4.7
Anthropic

$0.169375
vs DeepSeek R1: ↑ 141.4%
#16

Claude Opus 5
Anthropic

$0.169375
vs DeepSeek R1: ↑ 141.4%
#17

Claude Opus 4.8
Anthropic

$0.169375
vs DeepSeek R1: ↑ 141.4%
#18

Claude Opus 4.6
Anthropic

$0.169375
vs DeepSeek R1: ↑ 141.4%
#19

GPT-5.4
OpenAI

$0.171250 (rounded ~ $0.17)
vs DeepSeek R1: ↑ 144.1%
#20

GPT-5.4 Thinking
OpenAI

$0.171250 (rounded ~ $0.17)
vs DeepSeek R1: ↑ 144.1%
#21

Gemini 2.5 Pro
Google

$0.171250 (rounded ~ $0.17)
vs DeepSeek R1: ↑ 144.1%
#22

GPT-5.5 Instant
OpenAI

$0.171250 (rounded ~ $0.17)
vs DeepSeek R1: ↑ 144.1%
#23

GPT-5.6 Sol
OpenAI

$0.171250 (rounded ~ $0.17)
vs DeepSeek R1: ↑ 144.1%
#24

Grok 4.3
xAI

$0.262000 (rounded ~ $0.26)
vs DeepSeek R1: ↑ 273.4%
#25

Grok 4.20 Beta
xAI

$0.262000 (rounded ~ $0.26)
vs DeepSeek R1: ↑ 273.4%
#26

Gemini 3.1 Pro
Google

$0.269500
vs DeepSeek R1: ↑ 284.1%
#27

Claude Fable 5.1
Anthropic

$0.323750 (rounded ~ $0.32)
vs DeepSeek R1: ↑ 361.4%
#28

Claude Mythos 5.1
Anthropic

$0.323750 (rounded ~ $0.32)
vs DeepSeek R1: ↑ 361.4%
#29

Claude Fable 5
Anthropic

$0.338750 (rounded ~ $0.34)
vs DeepSeek R1: ↑ 382.8%
#30

Claude Mythos 5
Anthropic

$0.338750 (rounded ~ $0.34)
vs DeepSeek R1: ↑ 382.8%
#31

GPT-5.5
OpenAI

$0.673750 (rounded ~ $0.67)
vs DeepSeek R1: ↑ 860.2%
#32

GPT-6 Astra
OpenAI

$1.355000 (rounded ~ $1.36)
vs DeepSeek R1: ↑ 1831.2%
#33

GPT-6 Astra
OpenAI

$1.355000 (rounded ~ $1.36)
vs DeepSeek R1: ↑ 1831.2%
✨ 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.

Optimizing Code Reasoning for High-Volume Workflows

As organizations move toward truly autonomous DevOps, the ability to process large-scale pull requests without human intervention is a critical milestone. DeepSeek R1 has emerged as a powerhouse for these high-stakes reasoning tasks. By leveraging specialized reinforcement learning, this model excels at solving problems where traditional pattern matching falls short, such as identifying complex logical inconsistencies in distributed systems or deep-nested C++ architectures.

The Advantage of Reasoning at Scale

For teams processing 200,000-token diffs, the efficiency of the model’s reasoning process is paramount. DeepSeek R1 is particularly effective at self-verification—a feature that allows the model to internally validate its own review comments before outputting them. This reduces the frequency of ‘hallucinated’ bugs or invalid suggestions that often plague standard models. By minimizing these false positives, you can significantly reduce the cognitive load on senior engineers who oversee the automated review pipeline.

When deploying DeepSeek R1, the focus should be on integrating it into a pipeline where its reasoning depth can be fully leveraged. Because it is highly optimized for chain-of-thought processing, it performs exceptionally well when tasked with explaining *why* a specific change might break a dependency, rather than simply flagging it. For enterprise architects building large-scale RAG systems or automated code review bots, DeepSeek R1 offers a robust, high-reasoning alternative that maintains performance parity with closed-source frontier models while remaining highly efficient for complex logic-heavy environments.

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

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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