DeepSeek V4 Flash Pricing: Cost per 50K-Token Literature Review

DeepSeek V4 Flash 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: 65,000 tokens for DeepSeek V4 Flash
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for DeepSeek's DeepSeek V4 Flash model with 50% Cached.

⚡ Caching Optimized (up to 98% savings)
$0.012825 (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
$0.15 / $0.6 per 1M tokens
50%
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

$0.012825 Total Cost
$0.003750 Input Cost
$0.009000 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
$0.000197Cost per 1K
5,068,226Tokens 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

📚 Research & Citations

Fee per source cited

🎤 Realtime Audio & Video

Session length for billing

DeepSeek V4 Flash DeepSeek 1000000

$0.012825 (rounded ~ $0.01)
Total Cost
⚡ 50% Cached 📊 Batch API 🔧 Tools
👁️
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) $0.016500 (rounded ~ $0.02) Input: $0.007500 (rounded ~ $0.01)
Output: $0.009000 (rounded ~ $0.01)
Optimized Cost $0.012825 (rounded ~ $0.01) Input: $0.007500 (rounded ~ $0.01)
Output: $0.009000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.003675 22.3% discount

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.007500 (rounded ~ $0.01)
  • Output Cost: $0.009000 (rounded ~ $0.01)
  • Total Cost: $0.012825 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000197
  • Tokens per dollar: 5,068,226 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

Ideal for high-volumecost-sensitive summarization tasks and large-scale literature synthesis where speed and throughput are the primary KPIs.

Want this applied to YOUR actual stack?

This calculator shows the math for DeepSeek V4 Flash. 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 V4 Flash
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 15,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs DeepSeek V4 Flash
🏆 Claude Haiku 5.5
Anthropic
 $0.005125 (rounded ~ $0.01) Best Value ↓ 60% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.005125 (rounded ~ $0.01) ↓ 60% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.005875 (rounded ~ $0.01) ↓ 54.2% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.007344 (rounded ~ $0.01) ↓ 42.7% cheaper
#5 Mistral Large 3
Mistral AI
 $0.009063 ↓ 29.3% cheaper
#6 Gemini 3.5 Flash-Lite
Google
 $0.011438 (rounded ~ $0.01) ↓ 10.8% cheaper
#7 Gemini 2.5 Flash
Google
 $0.011438 (rounded ~ $0.01) ↓ 10.8% cheaper
#8 Gemini 3.8 Flash
Google
 $0.019219 ↑ 49.9% more
#9 Gemini 3.6 Flash
Google
 $0.019219 ↑ 49.9% more
#10 GPT-5.4 mini
OpenAI
 $0.022031 (rounded ~ $0.02) ↑ 71.8% more
#11 Mistral Large 4
Mistral AI
 $0.025025 (rounded ~ $0.03) ↑ 95.1% more
#12 Claude Haiku 4.5
Anthropic
 $0.025625 (rounded ~ $0.03) ↑ 99.8% more
#13 Gemini 3.1 Flash
Google
 $0.029375 ↑ 129% more
#14 Claude Sonnet 5.5
Anthropic
 $0.050625 ↑ 294.7% more
#15 Gemini 4 Argon
Google
 $0.051250 (rounded ~ $0.05) ↑ 299.6% more
#16 Claude Sonnet 5
Anthropic
 $0.051250 (rounded ~ $0.05) ↑ 299.6% more
#17 Grok 4.3
xAI
 $0.057500 (rounded ~ $0.06) ↑ 348.3% more
#18 Grok 4.20 Beta
xAI
 $0.057500 (rounded ~ $0.06) ↑ 348.3% more
#19 GPT-5.6 Terra
OpenAI
 $0.058750 (rounded ~ $0.06) ↑ 358.1% more
#20 GPT-5.3 Codex Spark
OpenAI
 $0.064531 (rounded ~ $0.06) ↑ 403.2% more
#21 GPT-5.3 Instant
OpenAI
 $0.064531 (rounded ~ $0.06) ↑ 403.2% more
#22 Claude Sonnet 4.6
Anthropic
 $0.076875 (rounded ~ $0.08) ↑ 499.4% more
#23 Gemini 2.5 Pro
Google
 $0.092188 (rounded ~ $0.09) ↑ 618.8% more
#24 Claude Opus 5.5
Anthropic
 $0.101250 (rounded ~ $0.10) ↑ 689.5% more
#25 GPT-6.1 Sol
OpenAI
 $0.102500 (rounded ~ $0.10) ↑ 699.2% more
#26 GPT-6 Sol
OpenAI
 $0.102500 (rounded ~ $0.10) ↑ 699.2% more
#27 GPT-5.6 Sol
OpenAI
 $0.102500 (rounded ~ $0.10) ↑ 699.2% more
#28 Gemini 3.1 Pro
Google
 $0.117500 (rounded ~ $0.12) ↑ 816.2% more
#29 Claude Opus 4.7
Anthropic
 $0.128125 (rounded ~ $0.13) ↑ 899% more
#30 Claude Opus 5
Anthropic
 $0.128125 (rounded ~ $0.13) ↑ 899% more
#31 Claude Opus 4.8
Anthropic
 $0.128125 (rounded ~ $0.13) ↑ 899% more
#32 Claude Opus 4.6
Anthropic
 $0.128125 (rounded ~ $0.13) ↑ 899% more
#33 GPT-5.4
OpenAI
 $0.146875 (rounded ~ $0.15) ↑ 1045.2% more
#34 GPT-5.4 Thinking
OpenAI
 $0.146875 (rounded ~ $0.15) ↑ 1045.2% more
#35 GPT-5.5 Instant
OpenAI
 $0.146875 (rounded ~ $0.15) ↑ 1045.2% more
#36 Claude Fable 5.1
Anthropic
 $0.251563 (rounded ~ $0.25) ↑ 1861.5% more
#37 Claude Mythos 5.1
Anthropic
 $0.251563 (rounded ~ $0.25) ↑ 1861.5% more
#38 Claude Fable 5
Anthropic
 $0.256250 (rounded ~ $0.26) ↑ 1898.1% more
#39 Claude Mythos 5
Anthropic
 $0.256250 (rounded ~ $0.26) ↑ 1898.1% more
#40 GPT-5.5
OpenAI
 $0.293750 (rounded ~ $0.29) ↑ 2190.4% more
#41 GPT-6 Astra
OpenAI
 $0.512500 (rounded ~ $0.51) ↑ 3896.1% more
#42 GPT-5.2 Pro
OpenAI
 $0.774375 (rounded ~ $0.77) ↑ 5938% more
#43 GPT-5.2 Pro
OpenAI
 $0.774375 (rounded ~ $0.77) ↑ 5938% more
🏆

Claude Haiku 5.5
Anthropic

$0.005125 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 60%
🥈

GPT-6 Luna
OpenAI

$0.005125 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 60%
🥉

GPT-5.6 Luna
OpenAI

$0.005875 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 54.2%
#4

Gemini 3.1 Flash Lite
Google

$0.007344 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 42.7%
#5

Mistral Large 3
Mistral AI

$0.009063
vs DeepSeek V4 Flash: ↓ 29.3%
#6

Gemini 3.5 Flash-Lite
Google

$0.011438 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 10.8%
#7

Gemini 2.5 Flash
Google

$0.011438 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 10.8%
#8

Gemini 3.8 Flash
Google

$0.019219
vs DeepSeek V4 Flash: ↑ 49.9%
#9

Gemini 3.6 Flash
Google

$0.019219
vs DeepSeek V4 Flash: ↑ 49.9%
#10

GPT-5.4 mini
OpenAI

$0.022031 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 71.8%
#11

Mistral Large 4
Mistral AI

$0.025025 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 95.1%
#12

Claude Haiku 4.5
Anthropic

$0.025625 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 99.8%
#13

Gemini 3.1 Flash
Google

$0.029375
vs DeepSeek V4 Flash: ↑ 129%
#14

Claude Sonnet 5.5
Anthropic

$0.050625
vs DeepSeek V4 Flash: ↑ 294.7%
#15

Gemini 4 Argon
Google

$0.051250 (rounded ~ $0.05)
vs DeepSeek V4 Flash: ↑ 299.6%
#16

Claude Sonnet 5
Anthropic

$0.051250 (rounded ~ $0.05)
vs DeepSeek V4 Flash: ↑ 299.6%
#17

Grok 4.3
xAI

$0.057500 (rounded ~ $0.06)
vs DeepSeek V4 Flash: ↑ 348.3%
#18

Grok 4.20 Beta
xAI

$0.057500 (rounded ~ $0.06)
vs DeepSeek V4 Flash: ↑ 348.3%
#19

GPT-5.6 Terra
OpenAI

$0.058750 (rounded ~ $0.06)
vs DeepSeek V4 Flash: ↑ 358.1%
#20

GPT-5.3 Codex Spark
OpenAI

$0.064531 (rounded ~ $0.06)
vs DeepSeek V4 Flash: ↑ 403.2%
#21

GPT-5.3 Instant
OpenAI

$0.064531 (rounded ~ $0.06)
vs DeepSeek V4 Flash: ↑ 403.2%
#22

Claude Sonnet 4.6
Anthropic

$0.076875 (rounded ~ $0.08)
vs DeepSeek V4 Flash: ↑ 499.4%
#23

Gemini 2.5 Pro
Google

$0.092188 (rounded ~ $0.09)
vs DeepSeek V4 Flash: ↑ 618.8%
#24

Claude Opus 5.5
Anthropic

$0.101250 (rounded ~ $0.10)
vs DeepSeek V4 Flash: ↑ 689.5%
#25

GPT-6.1 Sol
OpenAI

$0.102500 (rounded ~ $0.10)
vs DeepSeek V4 Flash: ↑ 699.2%
#26

GPT-6 Sol
OpenAI

$0.102500 (rounded ~ $0.10)
vs DeepSeek V4 Flash: ↑ 699.2%
#27

GPT-5.6 Sol
OpenAI

$0.102500 (rounded ~ $0.10)
vs DeepSeek V4 Flash: ↑ 699.2%
#28

Gemini 3.1 Pro
Google

$0.117500 (rounded ~ $0.12)
vs DeepSeek V4 Flash: ↑ 816.2%
#29

Claude Opus 4.7
Anthropic

$0.128125 (rounded ~ $0.13)
vs DeepSeek V4 Flash: ↑ 899%
#30

Claude Opus 5
Anthropic

$0.128125 (rounded ~ $0.13)
vs DeepSeek V4 Flash: ↑ 899%
#31

Claude Opus 4.8
Anthropic

$0.128125 (rounded ~ $0.13)
vs DeepSeek V4 Flash: ↑ 899%
#32

Claude Opus 4.6
Anthropic

$0.128125 (rounded ~ $0.13)
vs DeepSeek V4 Flash: ↑ 899%
#33

GPT-5.4
OpenAI

$0.146875 (rounded ~ $0.15)
vs DeepSeek V4 Flash: ↑ 1045.2%
#34

GPT-5.4 Thinking
OpenAI

$0.146875 (rounded ~ $0.15)
vs DeepSeek V4 Flash: ↑ 1045.2%
#35

GPT-5.5 Instant
OpenAI

$0.146875 (rounded ~ $0.15)
vs DeepSeek V4 Flash: ↑ 1045.2%
#36

Claude Fable 5.1
Anthropic

$0.251563 (rounded ~ $0.25)
vs DeepSeek V4 Flash: ↑ 1861.5%
#37

Claude Mythos 5.1
Anthropic

$0.251563 (rounded ~ $0.25)
vs DeepSeek V4 Flash: ↑ 1861.5%
#38

Claude Fable 5
Anthropic

$0.256250 (rounded ~ $0.26)
vs DeepSeek V4 Flash: ↑ 1898.1%
#39

Claude Mythos 5
Anthropic

$0.256250 (rounded ~ $0.26)
vs DeepSeek V4 Flash: ↑ 1898.1%
#40

GPT-5.5
OpenAI

$0.293750 (rounded ~ $0.29)
vs DeepSeek V4 Flash: ↑ 2190.4%
#41

GPT-6 Astra
OpenAI

$0.512500 (rounded ~ $0.51)
vs DeepSeek V4 Flash: ↑ 3896.1%
#42

GPT-5.2 Pro
OpenAI

$0.774375 (rounded ~ $0.77)
vs DeepSeek V4 Flash: ↑ 5938%
#43

GPT-5.2 Pro
OpenAI

$0.774375 (rounded ~ $0.77)
vs DeepSeek V4 Flash: ↑ 5938%
✨ 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 Research Workflows

For solo founders and research-focused startups, the literature review process is often a bottleneck. Balancing the depth of analysis with the cost of processing vast amounts of scientific text requires a model that handles high-volume input without sacrificing coherence in the final drafted output. DeepSeek V4 Flash has emerged as a compelling choice for this specific workload, particularly when your pipeline involves parsing dozens of dense academic papers per request.

The core advantage of using this model for drafting lies in its efficient architecture, which is tailored for high-throughput text tasks. In a typical research scenario involving 50K-token inputs, maintaining contextual integrity is paramount. This model excels at identifying the structural nuances of research papers, such as methodology summaries and citation extraction, which are often lost in less capable, high-speed alternatives.

Decision Factors

  • Batch Processing Suitability: If your product processes research batches asynchronously, this model’s compatibility with optimized ingestion workflows can significantly reduce the time-to-delivery for your end users.
  • Reasoning vs. Throughput: While it is optimized for speed, its underlying reasoning capabilities are sufficient for synthesizing complex arguments, provided the prompts are well-structured.
  • Integration Ecosystem: The model fits well into existing Python-based research agents that rely on frequent, high-volume API calls rather than singular, ultra-complex reasoning chains.

By focusing on these efficiency metrics, you can ensure that your research tool remains profitable as you scale your user base and document library.

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 V4 Flash currently costs $0.15 / $0.60 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →