Cheapest Model for 50K-Token Literature Review Drafts: DeepSeek V4 Flash

Complete Analysis: 65,000 tokens for DeepSeek V4 Flash
⚡ 80% Cached

Complete analysis of pricing, performance, and use cases for DeepSeek's DeepSeek V4 Flash model with 80% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.005180 (rounded ~ $0.01) Total Cost
65,000 Total Tokens
1 minute, 47.18 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
$0.07 / $0.28 per 1M tokens
Use Batch API (50% discount)
80%
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

$0.000700 Input Cost
$0.004200 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
65,000Total Tokens
$0.000080Cost per 1K
12,548,263Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 47s 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

$0.005180 (rounded ~ $0.01)
Total Cost
⚡ 80% Cached 📊 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
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.007700 (rounded ~ $0.01) Input: $0.003500
Output: $0.004200
Optimized Cost $0.005180 (rounded ~ $0.01) Input: $0.003500
Output: $0.004200
Unit: $0.000000
Fees: $0.000000
Total Savings $0.002520 32.7% discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 15,000 output tokens:

  • Input Cost: $0.003500
  • Output Cost: $0.004200
  • Total Cost: $0.005180 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000080
  • Tokens per dollar: 12,548,263 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: 1 minute, 47.18 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 650 tokens/second
  • Effective Throughput: 607 tokens/second (temperature-adjusted)

Best Use Cases

Fastiterative drafting and outlining of research papers where cost efficiency is a priority.

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✨ Market Recommendations AI Model Registry

← Back to DeepSeek V4 Flash
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 15,000
Batch API: Enabled (50% discount)
Cached Tokens: 80%
Rank AI Model & Provider Total Cost vs DeepSeek V4 Flash
🏆 Ministral 3 (14B)
Mistral AI
$0.001450 Best Value ↓ 72% cheaper
🥈 Mistral Small 3
Mistral AI
$0.001475 ↓ 71.5% cheaper
🥉 Devstral Small 2
Mistral AI
$0.001475 ↓ 71.5% cheaper
#4 Nemotron 3 Super
Mistral AI
$0.004125 ↓ 20.4% cheaper
#5 Devstral 2
Mistral AI
$0.004775 ↓ 7.8% cheaper
#6 Grok Code Fast 1
xAI
$0.006325 (rounded ~ $0.01) ↑ 22.1% more
#7 Gemini 3.1 Flash Lite
Google
$0.006500 (rounded ~ $0.01) ↑ 25.5% more
#8 Mistral Large 3
Mistral AI
$0.007375 (rounded ~ $0.01) ↑ 42.4% more
#9 Gemini 2.5 Flash
Google
$0.010425 ↑ 101.3% more
#10 Grok 4.3
xAI
$0.013750 (rounded ~ $0.01) ↑ 165.4% more
#11 o4-mini Deep Research
OpenAI
$0.018500 (rounded ~ $0.02) ↑ 257.1% more
#12 GPT-5.4 mini
OpenAI
$0.019500 ↑ 276.4% more
#13 o4-mini
OpenAI
$0.020350 ↑ 292.9% more
#14 Claude Haiku 4.5
Anthropic
$0.022250 (rounded ~ $0.02) ↑ 329.5% more
#15 Magistral Medium
Mistral AI
$0.025750 (rounded ~ $0.03) ↑ 397.1% more
#16 Gemini 3.1 Flash
Google
$0.026000 (rounded ~ $0.03) ↑ 401.9% more
#17 Grok 4.20 Beta
xAI
$0.029500 ↑ 469.5% more
#18 Gemini 3.5 Flash
Google
$0.039000 (rounded ~ $0.04) ↑ 652.9% more
#19 GPT-5.3 Codex Spark
OpenAI
$0.058625 (rounded ~ $0.06) ↑ 1031.8% more
#20 GPT-5.3 Instant
OpenAI
$0.058625 (rounded ~ $0.06) ↑ 1031.8% more
#21 Claude Sonnet 4.6
Anthropic
$0.066750 (rounded ~ $0.07) ↑ 1188.6% more
#22 Gemini 2.5 Pro
Google
$0.083750 (rounded ~ $0.08) ↑ 1516.8% more
#23 Gemini 3.1 Pro
Google
$0.104000 (rounded ~ $0.10) ↑ 1907.7% more
#24 Claude Opus 4.7
Anthropic
$0.111250 (rounded ~ $0.11) ↑ 2047.7% more
#25 Claude Opus 4.8
Anthropic
$0.111250 (rounded ~ $0.11) ↑ 2047.7% more
#26 Claude Opus 4.6
Anthropic
$0.111250 (rounded ~ $0.11) ↑ 2047.7% more
#27 GPT-5.4
OpenAI
$0.130000 ↑ 2409.7% more
#28 GPT-5.4 Thinking
OpenAI
$0.130000 ↑ 2409.7% more
#29 GPT-5.5 Instant
OpenAI
$0.130000 ↑ 2409.7% more
#30 o3 Deep Research
OpenAI
$0.185000 (rounded ~ $0.19) ↑ 3471.4% more
#31 GPT-5.5
OpenAI
$0.260000 ↑ 4919.3% more
#32 o3 Pro
OpenAI
$0.370000 ↑ 7042.9% more
#33 GPT-5.2 Pro
OpenAI
$0.703500 (rounded ~ $0.70) ↑ 13481.1% more
#34 GPT-5.2 Pro
OpenAI
$0.703500 (rounded ~ $0.70) ↑ 13481.1% more
🏆

Ministral 3 (14B)
Mistral AI

$0.001450
vs DeepSeek V4 Flash: ↓ 72%
🥈

Mistral Small 3
Mistral AI

$0.001475
vs DeepSeek V4 Flash: ↓ 71.5%
🥉

Devstral Small 2
Mistral AI

$0.001475
vs DeepSeek V4 Flash: ↓ 71.5%
#4

Nemotron 3 Super
Mistral AI

$0.004125
vs DeepSeek V4 Flash: ↓ 20.4%
#5

Devstral 2
Mistral AI

$0.004775
vs DeepSeek V4 Flash: ↓ 7.8%
#6

Grok Code Fast 1
xAI

$0.006325 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 22.1%
#7

Gemini 3.1 Flash Lite
Google

$0.006500 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 25.5%
#8

Mistral Large 3
Mistral AI

$0.007375 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 42.4%
#9

Gemini 2.5 Flash
Google

$0.010425
vs DeepSeek V4 Flash: ↑ 101.3%
#10

Grok 4.3
xAI

$0.013750 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 165.4%
#11

o4-mini Deep Research
OpenAI

$0.018500 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 257.1%
#12

GPT-5.4 mini
OpenAI

$0.019500
vs DeepSeek V4 Flash: ↑ 276.4%
#13

o4-mini
OpenAI

$0.020350
vs DeepSeek V4 Flash: ↑ 292.9%
#14

Claude Haiku 4.5
Anthropic

$0.022250 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 329.5%
#15

Magistral Medium
Mistral AI

$0.025750 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 397.1%
#16

Gemini 3.1 Flash
Google

$0.026000 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 401.9%
#17

Grok 4.20 Beta
xAI

$0.029500
vs DeepSeek V4 Flash: ↑ 469.5%
#18

Gemini 3.5 Flash
Google

$0.039000 (rounded ~ $0.04)
vs DeepSeek V4 Flash: ↑ 652.9%
#19

GPT-5.3 Codex Spark
OpenAI

$0.058625 (rounded ~ $0.06)
vs DeepSeek V4 Flash: ↑ 1031.8%
#20

GPT-5.3 Instant
OpenAI

$0.058625 (rounded ~ $0.06)
vs DeepSeek V4 Flash: ↑ 1031.8%
#21

Claude Sonnet 4.6
Anthropic

$0.066750 (rounded ~ $0.07)
vs DeepSeek V4 Flash: ↑ 1188.6%
#22

Gemini 2.5 Pro
Google

$0.083750 (rounded ~ $0.08)
vs DeepSeek V4 Flash: ↑ 1516.8%
#23

Gemini 3.1 Pro
Google

$0.104000 (rounded ~ $0.10)
vs DeepSeek V4 Flash: ↑ 1907.7%
#24

Claude Opus 4.7
Anthropic

$0.111250 (rounded ~ $0.11)
vs DeepSeek V4 Flash: ↑ 2047.7%
#25

Claude Opus 4.8
Anthropic

$0.111250 (rounded ~ $0.11)
vs DeepSeek V4 Flash: ↑ 2047.7%
#26

Claude Opus 4.6
Anthropic

$0.111250 (rounded ~ $0.11)
vs DeepSeek V4 Flash: ↑ 2047.7%
#27

GPT-5.4
OpenAI

$0.130000
vs DeepSeek V4 Flash: ↑ 2409.7%
#28

GPT-5.4 Thinking
OpenAI

$0.130000
vs DeepSeek V4 Flash: ↑ 2409.7%
#29

GPT-5.5 Instant
OpenAI

$0.130000
vs DeepSeek V4 Flash: ↑ 2409.7%
#30

o3 Deep Research
OpenAI

$0.185000 (rounded ~ $0.19)
vs DeepSeek V4 Flash: ↑ 3471.4%
#31

GPT-5.5
OpenAI

$0.260000
vs DeepSeek V4 Flash: ↑ 4919.3%
#32

o3 Pro
OpenAI

$0.370000
vs DeepSeek V4 Flash: ↑ 7042.9%
#33

GPT-5.2 Pro
OpenAI

$0.703500 (rounded ~ $0.70)
vs DeepSeek V4 Flash: ↑ 13481.1%
#34

GPT-5.2 Pro
OpenAI

$0.703500 (rounded ~ $0.70)
vs DeepSeek V4 Flash: ↑ 13481.1%
✨ 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.

Iterative Drafting at Scale

Research paper drafting is rarely a one-shot process. It involves multiple passes: outlining, drafting sections, revising for flow, and proofreading against citation requirements. If you are a student or independent researcher, running these iterations on top-tier frontier models can lead to unnecessary budget bloat.

DeepSeek V4 Flash provides a highly efficient alternative. It is engineered for cost-effective performance while maintaining the 1-million-token context window that is essential for processing large batches of literature. By utilizing hybrid attention mechanisms, it achieves top-tier efficiency without sacrificing the ability to handle your entire 50,000-token literature review in a single request.

Why DeepSeek V4 Flash fits the researcher’s workflow:

  • Rapid Prototyping: The model is exceptionally fast, allowing for quick iterative drafting. You can generate multiple variations of a paragraph or an outline without waiting for slow reasoning cycles.
  • Context Retention: Despite its focus on efficiency, it does not compromise on input capacity. You can feed your entire library of references, and the model will retain the context throughout your conversation, ensuring consistency in your arguments.

For mid-tier tasks like drafting outlines, summarizing findings, or basic structural proofreading, DeepSeek V4 Flash is the smart choice. It allows you to preserve your budget for the final, most complex stages of your research where you might need the advanced reasoning capabilities of a more expensive model.

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.