Cost Optimization: Cheapest Model for 100K Tokens of Content Generation

Complete Analysis: 101,000 tokens for DeepSeek V4 Flash

Complete analysis of pricing, performance, and use cases for DeepSeek's DeepSeek V4 Flash model .

$0.014280 (rounded ~ $0.01) Total Cost
101,000 Total Tokens
2 minutes, 46.44 seconds Processing Time
607 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

DeepSeek V4 Flash
DeepSeekMax Context: 1,000,000 tokens
$0.14 / $0.28 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

$0.014280 Total Cost
$0.014000 Input Cost
$0.000280 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
101,000Total Tokens
$0.000141Cost per 1K
7,072,829Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

2m 46s Processing Time
650 Tokens/Second
95ms Time to First Token
607 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 V4 Flash DeepSeek 1000000

$0.014280 (rounded ~ $0.01)
Total Cost
📊 Batch API
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✓ Available
98% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.014280 (rounded ~ $0.01) Input: $0.014000 (rounded ~ $0.01)
Output: $0.000280
Optimized Cost $0.014280 (rounded ~ $0.01) Input: $0.014000 (rounded ~ $0.01)
Output: $0.000280
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.014000 (rounded ~ $0.01)
  • Output Cost: $0.000280
  • Total Cost: $0.014280 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000141
  • Tokens per dollar: 7,072,829 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 650 tokens per second and 95ms time to first token:

  • Processing Time: 2 minutes, 46.44 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 650 tokens/second
  • Effective Throughput: 607 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for developers needing to generate large volumes of text content at a minimal cost. Its high context window and very competitive pricing make it suitable for batch processing of creative or descriptive text where absolute cutting-edge reasoning isn't paramount.

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✨ Market Recommendations AI Model Registry

← Back to DeepSeek V4 Flash
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Rank AI Model & Provider Total Cost vs DeepSeek V4 Flash
🏆 Mistral Small 3
Mistral AI
 $0.002575 Best Value ↓ 82% cheaper
🥈 Devstral Small 2
Mistral AI
 $0.002575 ↓ 82% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.006625 (rounded ~ $0.01) ↓ 53.6% cheaper
#4 Nemotron 3 Super
NVIDIA
 $0.007705 (rounded ~ $0.01) ↓ 46% cheaper
#5 Gemini 3.5 Flash-Lite
Google
 $0.008125 (rounded ~ $0.01) ↓ 43.1% cheaper
#6 Gemini 2.5 Flash
Google
 $0.008125 (rounded ~ $0.01) ↓ 43.1% cheaper
#7 Llama 4 Scout
Meta AI
 $0.008300 (rounded ~ $0.01) ↓ 41.9% cheaper
#8 Devstral 2
Mistral AI
 $0.010225 ↓ 28.4% cheaper
#9 Mistral Large 3
Mistral AI
 $0.012875 (rounded ~ $0.01) ↓ 9.8% cheaper
#10 Llama 4 Maverick (400B)
Meta AI
 $0.015600 (rounded ~ $0.02) ↑ 9.2% more
#11 Gemini 3.8 Flash
Google
 $0.019688 ↑ 37.9% more
#12 GPT-5.4 mini
OpenAI
 $0.019875 ↑ 39.2% more
#13 o4-mini Deep Research
OpenAI
 $0.026000 (rounded ~ $0.03) ↑ 82.1% more
#14 Claude Haiku 4.5
Anthropic
 $0.026250 (rounded ~ $0.03) ↑ 83.8% more
#15 Gemini 3.1 Flash
Google
 $0.026500 (rounded ~ $0.03) ↑ 85.6% more
#16 GPT-5.6 Luna
OpenAI
 $0.026500 (rounded ~ $0.03) ↑ 85.6% more
#17 o4-mini
OpenAI
 $0.028600 (rounded ~ $0.03) ↑ 100.3% more
#18 Gemini 3.6 Flash
Google
 $0.039375 ↑ 175.7% more
#19 Gemini 3.5 Flash
Google
 $0.039750 ↑ 178.4% more
#20 GPT-5.3 Codex Spark
OpenAI
 $0.047250 (rounded ~ $0.05) ↑ 230.9% more
#21 GPT-5.3 Instant
OpenAI
 $0.047250 (rounded ~ $0.05) ↑ 230.9% more
#22 Magistral Medium
Mistral AI
 $0.051250 (rounded ~ $0.05) ↑ 258.9% more
#23 Claude Sonnet 5
Anthropic
 $0.052500 (rounded ~ $0.05) ↑ 267.6% more
#24 Llama 3.3 70B
Meta AI
 $0.061200 (rounded ~ $0.06) ↑ 328.6% more
#25 GPT-5.6 Terra
OpenAI
 $0.066250 (rounded ~ $0.07) ↑ 363.9% more
#26 Gemini 2.5 Pro
Google
 $0.067500 (rounded ~ $0.07) ↑ 372.7% more
#27 Claude Sonnet 4.6
Anthropic
 $0.078750 (rounded ~ $0.08) ↑ 451.5% more
#28 Grok 4.3
xAI
 $0.102000 (rounded ~ $0.10) ↑ 614.3% more
#29 Grok 4.20 Beta
xAI
 $0.102000 (rounded ~ $0.10) ↑ 614.3% more
#30 Gemini 3.1 Pro
Google
 $0.106000 (rounded ~ $0.11) ↑ 642.3% more
#31 Claude Opus 4.7
Anthropic
 $0.131250 (rounded ~ $0.13) ↑ 819.1% more
#32 Claude Opus 5
Anthropic
 $0.131250 (rounded ~ $0.13) ↑ 819.1% more
#33 Claude Opus 4.8
Anthropic
 $0.131250 (rounded ~ $0.13) ↑ 819.1% more
#34 Claude Opus 4.6
Anthropic
 $0.131250 (rounded ~ $0.13) ↑ 819.1% more
#35 GPT-5.4
OpenAI
 $0.132500 (rounded ~ $0.13) ↑ 827.9% more
#36 GPT-5.4 Thinking
OpenAI
 $0.132500 (rounded ~ $0.13) ↑ 827.9% more
#37 GPT-5.5 Instant
OpenAI
 $0.132500 (rounded ~ $0.13) ↑ 827.9% more
#38 GPT-5.6 Sol
OpenAI
 $0.132500 (rounded ~ $0.13) ↑ 827.9% more
#39 o3 Deep Research
OpenAI
 $0.260000 ↑ 1720.7% more
#40 Claude Fable 5.1
Anthropic
 $0.262500 (rounded ~ $0.26) ↑ 1738.2% more
#41 Claude Mythos 5.1
Anthropic
 $0.262500 (rounded ~ $0.26) ↑ 1738.2% more
#42 Claude Fable 5
Anthropic
 $0.262500 (rounded ~ $0.26) ↑ 1738.2% more
#43 Claude Mythos 5
Anthropic
 $0.262500 (rounded ~ $0.26) ↑ 1738.2% more
#44 GPT-5.5
OpenAI
 $0.265000 (rounded ~ $0.27) ↑ 1755.7% more
#45 o3 Pro
OpenAI
 $0.520000 ↑ 3541.5% more
#46 GPT-6 Astra
OpenAI
 $0.525000 (rounded ~ $0.53) ↑ 3576.5% more
#47 GPT-5.2 Pro
OpenAI
 $0.567000 (rounded ~ $0.57) ↑ 3870.6% more
#48 GPT-5.5 Pro
OpenAI
 $0.795000 (rounded ~ $0.80) ↑ 5467.2% more
#49 GPT-5.5 Pro
OpenAI
 $0.795000 (rounded ~ $0.80) ↑ 5467.2% more
🏆

Mistral Small 3
Mistral AI

$0.002575
vs DeepSeek V4 Flash: ↓ 82%
🥈

Devstral Small 2
Mistral AI

$0.002575
vs DeepSeek V4 Flash: ↓ 82%
🥉

Gemini 3.1 Flash Lite
Google

$0.006625 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 53.6%
#4

Nemotron 3 Super
NVIDIA

$0.007705 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 46%
#5

Gemini 3.5 Flash-Lite
Google

$0.008125 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 43.1%
#6

Gemini 2.5 Flash
Google

$0.008125 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 43.1%
#7

Llama 4 Scout
Meta AI

$0.008300 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 41.9%
#8

Devstral 2
Mistral AI

$0.010225
vs DeepSeek V4 Flash: ↓ 28.4%
#9

Mistral Large 3
Mistral AI

$0.012875 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 9.8%
#10

Llama 4 Maverick (400B)
Meta AI

$0.015600 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 9.2%
#11

Gemini 3.8 Flash
Google

$0.019688
vs DeepSeek V4 Flash: ↑ 37.9%
#12

GPT-5.4 mini
OpenAI

$0.019875
vs DeepSeek V4 Flash: ↑ 39.2%
#13

o4-mini Deep Research
OpenAI

$0.026000 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 82.1%
#14

Claude Haiku 4.5
Anthropic

$0.026250 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 83.8%
#15

Gemini 3.1 Flash
Google

$0.026500 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 85.6%
#16

GPT-5.6 Luna
OpenAI

$0.026500 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 85.6%
#17

o4-mini
OpenAI

$0.028600 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 100.3%
#18

Gemini 3.6 Flash
Google

$0.039375
vs DeepSeek V4 Flash: ↑ 175.7%
#19

Gemini 3.5 Flash
Google

$0.039750
vs DeepSeek V4 Flash: ↑ 178.4%
#20

GPT-5.3 Codex Spark
OpenAI

$0.047250 (rounded ~ $0.05)
vs DeepSeek V4 Flash: ↑ 230.9%
#21

GPT-5.3 Instant
OpenAI

$0.047250 (rounded ~ $0.05)
vs DeepSeek V4 Flash: ↑ 230.9%
#22

Magistral Medium
Mistral AI

$0.051250 (rounded ~ $0.05)
vs DeepSeek V4 Flash: ↑ 258.9%
#23

Claude Sonnet 5
Anthropic

$0.052500 (rounded ~ $0.05)
vs DeepSeek V4 Flash: ↑ 267.6%
#24

Llama 3.3 70B
Meta AI

$0.061200 (rounded ~ $0.06)
vs DeepSeek V4 Flash: ↑ 328.6%
#25

GPT-5.6 Terra
OpenAI

$0.066250 (rounded ~ $0.07)
vs DeepSeek V4 Flash: ↑ 363.9%
#26

Gemini 2.5 Pro
Google

$0.067500 (rounded ~ $0.07)
vs DeepSeek V4 Flash: ↑ 372.7%
#27

Claude Sonnet 4.6
Anthropic

$0.078750 (rounded ~ $0.08)
vs DeepSeek V4 Flash: ↑ 451.5%
#28

Grok 4.3
xAI

$0.102000 (rounded ~ $0.10)
vs DeepSeek V4 Flash: ↑ 614.3%
#29

Grok 4.20 Beta
xAI

$0.102000 (rounded ~ $0.10)
vs DeepSeek V4 Flash: ↑ 614.3%
#30

Gemini 3.1 Pro
Google

$0.106000 (rounded ~ $0.11)
vs DeepSeek V4 Flash: ↑ 642.3%
#31

Claude Opus 4.7
Anthropic

$0.131250 (rounded ~ $0.13)
vs DeepSeek V4 Flash: ↑ 819.1%
#32

Claude Opus 5
Anthropic

$0.131250 (rounded ~ $0.13)
vs DeepSeek V4 Flash: ↑ 819.1%
#33

Claude Opus 4.8
Anthropic

$0.131250 (rounded ~ $0.13)
vs DeepSeek V4 Flash: ↑ 819.1%
#34

Claude Opus 4.6
Anthropic

$0.131250 (rounded ~ $0.13)
vs DeepSeek V4 Flash: ↑ 819.1%
#35

GPT-5.4
OpenAI

$0.132500 (rounded ~ $0.13)
vs DeepSeek V4 Flash: ↑ 827.9%
#36

GPT-5.4 Thinking
OpenAI

$0.132500 (rounded ~ $0.13)
vs DeepSeek V4 Flash: ↑ 827.9%
#37

GPT-5.5 Instant
OpenAI

$0.132500 (rounded ~ $0.13)
vs DeepSeek V4 Flash: ↑ 827.9%
#38

GPT-5.6 Sol
OpenAI

$0.132500 (rounded ~ $0.13)
vs DeepSeek V4 Flash: ↑ 827.9%
#39

o3 Deep Research
OpenAI

$0.260000
vs DeepSeek V4 Flash: ↑ 1720.7%
#40

Claude Fable 5.1
Anthropic

$0.262500 (rounded ~ $0.26)
vs DeepSeek V4 Flash: ↑ 1738.2%
#41

Claude Mythos 5.1
Anthropic

$0.262500 (rounded ~ $0.26)
vs DeepSeek V4 Flash: ↑ 1738.2%
#42

Claude Fable 5
Anthropic

$0.262500 (rounded ~ $0.26)
vs DeepSeek V4 Flash: ↑ 1738.2%
#43

Claude Mythos 5
Anthropic

$0.262500 (rounded ~ $0.26)
vs DeepSeek V4 Flash: ↑ 1738.2%
#44

GPT-5.5
OpenAI

$0.265000 (rounded ~ $0.27)
vs DeepSeek V4 Flash: ↑ 1755.7%
#45

o3 Pro
OpenAI

$0.520000
vs DeepSeek V4 Flash: ↑ 3541.5%
#46

GPT-6 Astra
OpenAI

$0.525000 (rounded ~ $0.53)
vs DeepSeek V4 Flash: ↑ 3576.5%
#47

GPT-5.2 Pro
OpenAI

$0.567000 (rounded ~ $0.57)
vs DeepSeek V4 Flash: ↑ 3870.6%
#48

GPT-5.5 Pro
OpenAI

$0.795000 (rounded ~ $0.80)
vs DeepSeek V4 Flash: ↑ 5467.2%
#49

GPT-5.5 Pro
OpenAI

$0.795000 (rounded ~ $0.80)
vs DeepSeek V4 Flash: ↑ 5467.2%
✨ 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.

Evaluating Budget-Friendly Text Generation

For mobile app developers focused on prototyping or small-scale MVP launches, optimizing AI costs is crucial. This record explores DeepSeek V4 Flash as a prime candidate for generating up to 100,000 tokens of content, such as product descriptions or marketing copy, without breaking the bank.

DeepSeek V4 Flash stands out for its extremely competitive pricing and a generous context window, making it ideal for batch processing of text-intensive tasks. While it may not offer the nuanced reasoning of premium models, its efficiency for straightforward content generation is unparalleled for budget-conscious projects.

When choosing this model, developers should consider its strengths in raw output volume for cost. It’s particularly suited for generating large batches of unique text where the primary goal is cost per token. Decision factors include the need for absolute lowest cost, the ability to process content in batches, and tolerance for standard reasoning capabilities over cutting-edge interpretation.

This model is an excellent choice for indie hackers and side projects aiming to add AI-generated content to their applications without significant upfront investment.

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 V4 Flash currently costs $0.14 / $0.28 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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