Budget Planning: DeepSeek R1 for 100K-Token Agentic Workflows

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: 102,000 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)
$0.037820 (rounded ~ $0.04) Total Cost
102,000 Total Tokens
15 minutes, 9.68 seconds Processing Time
112 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

$0.033000 Input Cost
$0.004380 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
$0.000371Cost per 1K
2,696,986Tokens per $
⚫ Archived Model: This model was retired on July 24, 2026. Prices are historical.
📊 Advanced Cost Breakdown

Processing Speed

15m 9s Processing Time
120 Tokens/Second
220ms Time to First Token
112 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

DeepSeek R1 DeepSeek

$0.037820 (rounded ~ $0.04)
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) $0.059380 Input: $0.055000 (rounded ~ $0.06)
Output: $0.004380
Optimized Cost $0.037820 (rounded ~ $0.04) Input: $0.055000 (rounded ~ $0.06)
Output: $0.004380
Unit: $0.000000
Fees: $0.000000
Total Savings $0.021560 (rounded ~ $0.02) 36.3% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.055000 (rounded ~ $0.06)
  • Output Cost: $0.004380
  • Total Cost: $0.037820 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.000371
  • Tokens per dollar: 2,696,986 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: 15 minutes, 9.68 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 120 tokens/second
  • Effective Throughput: 112 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for reasoning-heavy worker agent tasks in budget-conscious pipelines where logical depth is prioritized.

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✨ Market Recommendations AI Model Registry

← Back to DeepSeek R1
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs DeepSeek R1
🏆 Mistral Small 3
Mistral AI
$0.001750 Best Value ↓ 95.4% cheaper
🥈 Gemini 3.1 Flash Lite
Google
$0.004750 ↓ 87.4% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
$0.006050 (rounded ~ $0.01) ↓ 84% cheaper
#4 Gemini 2.5 Flash
Google
$0.006050 (rounded ~ $0.01) ↓ 84% cheaper
#5 Mistral Large 3
Mistral AI
$0.008750 (rounded ~ $0.01) ↓ 76.9% cheaper
#6 Gemini 3.8 Flash
Google
$0.013875 (rounded ~ $0.01) ↓ 63.3% cheaper
#7 GPT-5.4 mini
OpenAI
$0.014250 (rounded ~ $0.01) ↓ 62.3% cheaper
#8 o4-mini Deep Research
OpenAI
$0.018000 (rounded ~ $0.02) ↓ 52.4% cheaper
#9 Claude Haiku 4.5
Anthropic
$0.018500 (rounded ~ $0.02) ↓ 51.1% cheaper
#10 Gemini 3.1 Flash
Google
$0.019000 (rounded ~ $0.02) ↓ 49.8% cheaper
#11 GPT-5.6 Luna
OpenAI
$0.019000 (rounded ~ $0.02) ↓ 49.8% cheaper
#12 o4-mini
OpenAI
$0.019800 ↓ 47.6% cheaper
#13 Gemini 3.6 Flash
Google
$0.027750 (rounded ~ $0.03) ↓ 26.6% cheaper
#14 Gemini 3.5 Flash
Google
$0.028500 (rounded ~ $0.03) ↓ 24.6% cheaper
#15 GPT-5.3 Codex Spark
OpenAI
$0.035000 (rounded ~ $0.04) ↓ 7.5% cheaper
#16 GPT-5.3 Instant
OpenAI
$0.035000 (rounded ~ $0.04) ↓ 7.5% cheaper
#17 Claude Sonnet 5
Anthropic
$0.037000 (rounded ~ $0.04) ↓ 2.2% cheaper
#18 GPT-5.6 Terra
OpenAI
$0.047500 (rounded ~ $0.05) ↑ 25.6% more
#19 Gemini 2.5 Pro
Google
$0.050000 ↑ 32.2% more
#20 Claude Sonnet 4.6
Anthropic
$0.055500 (rounded ~ $0.06) ↑ 46.7% more
#21 Grok 4.3
xAI
$0.068000 (rounded ~ $0.07) ↑ 79.8% more
#22 Grok 4.20 Beta
xAI
$0.068000 (rounded ~ $0.07) ↑ 79.8% more
#23 Gemini 3.1 Pro
Google
$0.076000 (rounded ~ $0.08) ↑ 101% more
#24 Claude Opus 4.7
Anthropic
$0.092500 (rounded ~ $0.09) ↑ 144.6% more
#25 Claude Opus 5
Anthropic
$0.092500 (rounded ~ $0.09) ↑ 144.6% more
#26 Claude Opus 4.8
Anthropic
$0.092500 (rounded ~ $0.09) ↑ 144.6% more
#27 Claude Opus 4.6
Anthropic
$0.092500 (rounded ~ $0.09) ↑ 144.6% more
#28 GPT-5.4
OpenAI
$0.095000 (rounded ~ $0.10) ↑ 151.2% more
#29 GPT-5.4 Thinking
OpenAI
$0.095000 (rounded ~ $0.10) ↑ 151.2% more
#30 GPT-5.5 Instant
OpenAI
$0.095000 (rounded ~ $0.10) ↑ 151.2% more
#31 GPT-5.6 Sol
OpenAI
$0.095000 (rounded ~ $0.10) ↑ 151.2% more
#32 Claude Fable 5.1
Anthropic
$0.177500 (rounded ~ $0.18) ↑ 369.3% more
#33 Claude Mythos 5.1
Anthropic
$0.177500 (rounded ~ $0.18) ↑ 369.3% more
#34 o3 Deep Research
OpenAI
$0.180000 ↑ 375.9% more
#35 Claude Fable 5
Anthropic
$0.185000 (rounded ~ $0.19) ↑ 389.2% more
#36 Claude Mythos 5
Anthropic
$0.185000 (rounded ~ $0.19) ↑ 389.2% more
#37 GPT-5.5
OpenAI
$0.190000 ↑ 402.4% more
#38 o3 Pro
OpenAI
$0.360000 ↑ 851.9% more
#39 GPT-6 Astra
OpenAI
$0.370000 ↑ 878.3% more
#40 GPT-5.2 Pro
OpenAI
$0.420000 ↑ 1010.5% more
#41 GPT-5.2 Pro
OpenAI
$0.420000 ↑ 1010.5% more
🏆

Mistral Small 3
Mistral AI

$0.001750
vs DeepSeek R1: ↓ 95.4%
🥈

Gemini 3.1 Flash Lite
Google

$0.004750
vs DeepSeek R1: ↓ 87.4%
🥉

Gemini 3.5 Flash-Lite
Google

$0.006050 (rounded ~ $0.01)
vs DeepSeek R1: ↓ 84%
#4

Gemini 2.5 Flash
Google

$0.006050 (rounded ~ $0.01)
vs DeepSeek R1: ↓ 84%
#5

Mistral Large 3
Mistral AI

$0.008750 (rounded ~ $0.01)
vs DeepSeek R1: ↓ 76.9%
#6

Gemini 3.8 Flash
Google

$0.013875 (rounded ~ $0.01)
vs DeepSeek R1: ↓ 63.3%
#7

GPT-5.4 mini
OpenAI

$0.014250 (rounded ~ $0.01)
vs DeepSeek R1: ↓ 62.3%
#8

o4-mini Deep Research
OpenAI

$0.018000 (rounded ~ $0.02)
vs DeepSeek R1: ↓ 52.4%
#9

Claude Haiku 4.5
Anthropic

$0.018500 (rounded ~ $0.02)
vs DeepSeek R1: ↓ 51.1%
#10

Gemini 3.1 Flash
Google

$0.019000 (rounded ~ $0.02)
vs DeepSeek R1: ↓ 49.8%
#11

GPT-5.6 Luna
OpenAI

$0.019000 (rounded ~ $0.02)
vs DeepSeek R1: ↓ 49.8%
#12

o4-mini
OpenAI

$0.019800
vs DeepSeek R1: ↓ 47.6%
#13

Gemini 3.6 Flash
Google

$0.027750 (rounded ~ $0.03)
vs DeepSeek R1: ↓ 26.6%
#14

Gemini 3.5 Flash
Google

$0.028500 (rounded ~ $0.03)
vs DeepSeek R1: ↓ 24.6%
#15

GPT-5.3 Codex Spark
OpenAI

$0.035000 (rounded ~ $0.04)
vs DeepSeek R1: ↓ 7.5%
#16

GPT-5.3 Instant
OpenAI

$0.035000 (rounded ~ $0.04)
vs DeepSeek R1: ↓ 7.5%
#17

Claude Sonnet 5
Anthropic

$0.037000 (rounded ~ $0.04)
vs DeepSeek R1: ↓ 2.2%
#18

GPT-5.6 Terra
OpenAI

$0.047500 (rounded ~ $0.05)
vs DeepSeek R1: ↑ 25.6%
#19

Gemini 2.5 Pro
Google

$0.050000
vs DeepSeek R1: ↑ 32.2%
#20

Claude Sonnet 4.6
Anthropic

$0.055500 (rounded ~ $0.06)
vs DeepSeek R1: ↑ 46.7%
#21

Grok 4.3
xAI

$0.068000 (rounded ~ $0.07)
vs DeepSeek R1: ↑ 79.8%
#22

Grok 4.20 Beta
xAI

$0.068000 (rounded ~ $0.07)
vs DeepSeek R1: ↑ 79.8%
#23

Gemini 3.1 Pro
Google

$0.076000 (rounded ~ $0.08)
vs DeepSeek R1: ↑ 101%
#24

Claude Opus 4.7
Anthropic

$0.092500 (rounded ~ $0.09)
vs DeepSeek R1: ↑ 144.6%
#25

Claude Opus 5
Anthropic

$0.092500 (rounded ~ $0.09)
vs DeepSeek R1: ↑ 144.6%
#26

Claude Opus 4.8
Anthropic

$0.092500 (rounded ~ $0.09)
vs DeepSeek R1: ↑ 144.6%
#27

Claude Opus 4.6
Anthropic

$0.092500 (rounded ~ $0.09)
vs DeepSeek R1: ↑ 144.6%
#28

GPT-5.4
OpenAI

$0.095000 (rounded ~ $0.10)
vs DeepSeek R1: ↑ 151.2%
#29

GPT-5.4 Thinking
OpenAI

$0.095000 (rounded ~ $0.10)
vs DeepSeek R1: ↑ 151.2%
#30

GPT-5.5 Instant
OpenAI

$0.095000 (rounded ~ $0.10)
vs DeepSeek R1: ↑ 151.2%
#31

GPT-5.6 Sol
OpenAI

$0.095000 (rounded ~ $0.10)
vs DeepSeek R1: ↑ 151.2%
#32

Claude Fable 5.1
Anthropic

$0.177500 (rounded ~ $0.18)
vs DeepSeek R1: ↑ 369.3%
#33

Claude Mythos 5.1
Anthropic

$0.177500 (rounded ~ $0.18)
vs DeepSeek R1: ↑ 369.3%
#34

o3 Deep Research
OpenAI

$0.180000
vs DeepSeek R1: ↑ 375.9%
#35

Claude Fable 5
Anthropic

$0.185000 (rounded ~ $0.19)
vs DeepSeek R1: ↑ 389.2%
#36

Claude Mythos 5
Anthropic

$0.185000 (rounded ~ $0.19)
vs DeepSeek R1: ↑ 389.2%
#37

GPT-5.5
OpenAI

$0.190000
vs DeepSeek R1: ↑ 402.4%
#38

o3 Pro
OpenAI

$0.360000
vs DeepSeek R1: ↑ 851.9%
#39

GPT-6 Astra
OpenAI

$0.370000
vs DeepSeek R1: ↑ 878.3%
#40

GPT-5.2 Pro
OpenAI

$0.420000
vs DeepSeek R1: ↑ 1010.5%
#41

GPT-5.2 Pro
OpenAI

$0.420000
vs DeepSeek R1: ↑ 1010.5%
✨ 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.

For indie hackers and mobile developers working on MVP agentic pipelines, controlling operational overhead without sacrificing reasoning quality is the primary challenge. DeepSeek R1 has emerged as a specialized contender for these tasks, particularly when your workflow involves heavy reasoning or mathematical logic within an agentic loop. In an orchestration pattern, worker agents often consume the majority of your token budget. Using a model like DeepSeek R1 for these worker tasks allows you to maintain high-quality reasoning outputs while keeping your operational costs predictable.

Because R1 excels at ‘thinking’ before generating a response, it is particularly effective for tasks requiring step-by-step logic, such as data extraction, code debugging, or complex classification, which are common in 100,000-token agentic workflows. When integrating this model into a mobile backend, consider the latency profile of these thinking-heavy processes. While they provide superior chain-of-thought results compared to standard text models, the ‘time-to-first-token’ may be slightly higher. However, for backend-side agent processing where result accuracy is more critical than instantaneous responsiveness, this trade-off is usually acceptable. It is an excellent choice for developers looking to build robust, reasoning-capable agents on a startup budget, allowing you to allocate more resources to the orchestrator layer or other parts of your app stack.

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.