Cost per 10K-Token RAG Query: DeepSeek V4 Flash for Academic Research

Complete Analysis: 10,500 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 98% savings)
$0.000442 Total Cost
10,500 Total Tokens
17.14 seconds Processing Time
619 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)
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

$0.000442 Total Cost
$0.000280 Input Cost
$0.000140 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
10,500Total Tokens
$0.000042Cost per 1K
23,734,177Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

17.14s Processing Time
650 Tokens/Second
95ms Time to First Token
619 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

$0.000442
Total Cost
⚡ 80% 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) $0.001540 Input: $0.001400
Output: $0.000140
Optimized Cost $0.000442 Input: $0.001400
Output: $0.000140
Unit: $0.000000
Fees: $0.000000
Total Savings $0.001098 71.3% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 500 output tokens:

  • Input Cost: $0.001400
  • Output Cost: $0.000140
  • Total Cost: $0.000442
  • Cost per 1K tokens: $0.000042
  • Tokens per dollar: 23,734,177 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: 17.14 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 650 tokens/second
  • Effective Throughput: 619 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-throughput RAG systems where speedefficiencyand consistent performance are required for large-scale document querying.

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✨ Market Recommendations AI Model Registry

← Back to DeepSeek V4 Flash
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 80%
Tools: Enabled
Rank AI Model & Provider Total Cost vs DeepSeek V4 Flash
🏆 Mistral Small 3
Mistral AI
 $0.000108 Best Value ↓ 75.7% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.000363 ↓ 18.1% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.000523 ↑ 18.1% more
#4 Gemini 2.5 Flash
Google
 $0.000523 ↑ 18.1% more
#5 Mistral Large 3
Mistral AI
 $0.000538 ↑ 21.5% more
#6 Gemini 3.8 Flash
Google
 $0.000994 ↑ 124.6% more
#7 GPT-5.4 mini
OpenAI
 $0.001088 ↑ 145.8% more
#8 o4-mini Deep Research
OpenAI
 $0.001200 ↑ 171.2% more
#9 o4-mini
OpenAI
 $0.001320 ↑ 198.4% more
#10 Claude Haiku 4.5
Anthropic
 $0.001325 ↑ 199.5% more
#11 Gemini 3.1 Flash
Google
 $0.001450 ↑ 227.8% more
#12 GPT-5.6 Luna
OpenAI
 $0.001450 ↑ 227.8% more
#13 Gemini 3.6 Flash
Google
 $0.001988 ↑ 349.3% more
#14 Gemini 3.5 Flash
Google
 $0.002175 ↑ 391.6% more
#15 Claude Sonnet 5
Anthropic
 $0.002650 ↑ 499% more
#16 GPT-5.3 Codex Spark
OpenAI
 $0.002975 ↑ 572.5% more
#17 GPT-5.3 Instant
OpenAI
 $0.002975 ↑ 572.5% more
#18 GPT-5.6 Terra
OpenAI
 $0.003625 ↑ 719.4% more
#19 Grok 4.3
xAI
 $0.003800 ↑ 759% more
#20 Grok 4.20 Beta
xAI
 $0.003800 ↑ 759% more
#21 Claude Sonnet 4.6
Anthropic
 $0.003975 ↑ 798.5% more
#22 Gemini 2.5 Pro
Google
 $0.004250 ↑ 860.7% more
#23 Gemini 3.1 Pro
Google
 $0.005800 (rounded ~ $0.01) ↑ 1211% more
#24 Claude Opus 4.7
Anthropic
 $0.006625 (rounded ~ $0.01) ↑ 1397.5% more
#25 Claude Opus 5
Anthropic
 $0.006625 (rounded ~ $0.01) ↑ 1397.5% more
#26 Claude Opus 4.8
Anthropic
 $0.006625 (rounded ~ $0.01) ↑ 1397.5% more
#27 Claude Opus 4.6
Anthropic
 $0.006625 (rounded ~ $0.01) ↑ 1397.5% more
#28 GPT-5.4
OpenAI
 $0.007250 (rounded ~ $0.01) ↑ 1538.8% more
#29 GPT-5.4 Thinking
OpenAI
 $0.007250 (rounded ~ $0.01) ↑ 1538.8% more
#30 GPT-5.5 Instant
OpenAI
 $0.007250 (rounded ~ $0.01) ↑ 1538.8% more
#31 GPT-5.6 Sol
OpenAI
 $0.007250 (rounded ~ $0.01) ↑ 1538.8% more
#32 Claude Fable 5.1
Anthropic
 $0.011750 (rounded ~ $0.01) ↑ 2556% more
#33 Claude Mythos 5.1
Anthropic
 $0.011750 (rounded ~ $0.01) ↑ 2556% more
#34 o3 Deep Research
OpenAI
 $0.012000 (rounded ~ $0.01) ↑ 2612.5% more
#35 Claude Fable 5
Anthropic
 $0.013250 (rounded ~ $0.01) ↑ 2895% more
#36 Claude Mythos 5
Anthropic
 $0.013250 (rounded ~ $0.01) ↑ 2895% more
#37 GPT-5.5
OpenAI
 $0.014500 (rounded ~ $0.01) ↑ 3177.6% more
#38 o3 Pro
OpenAI
 $0.024000 (rounded ~ $0.02) ↑ 5325% more
#39 GPT-6 Astra
OpenAI
 $0.026500 (rounded ~ $0.03) ↑ 5890.1% more
#40 GPT-5.2 Pro
OpenAI
 $0.035700 (rounded ~ $0.04) ↑ 7969.6% more
#41 GPT-5.2 Pro
OpenAI
 $0.035700 (rounded ~ $0.04) ↑ 7969.6% more
🏆

Mistral Small 3
Mistral AI

$0.000108
vs DeepSeek V4 Flash: ↓ 75.7%
🥈

Gemini 3.1 Flash Lite
Google

$0.000363
vs DeepSeek V4 Flash: ↓ 18.1%
🥉

Gemini 3.5 Flash-Lite
Google

$0.000523
vs DeepSeek V4 Flash: ↑ 18.1%
#4

Gemini 2.5 Flash
Google

$0.000523
vs DeepSeek V4 Flash: ↑ 18.1%
#5

Mistral Large 3
Mistral AI

$0.000538
vs DeepSeek V4 Flash: ↑ 21.5%
#6

Gemini 3.8 Flash
Google

$0.000994
vs DeepSeek V4 Flash: ↑ 124.6%
#7

GPT-5.4 mini
OpenAI

$0.001088
vs DeepSeek V4 Flash: ↑ 145.8%
#8

o4-mini Deep Research
OpenAI

$0.001200
vs DeepSeek V4 Flash: ↑ 171.2%
#9

o4-mini
OpenAI

$0.001320
vs DeepSeek V4 Flash: ↑ 198.4%
#10

Claude Haiku 4.5
Anthropic

$0.001325
vs DeepSeek V4 Flash: ↑ 199.5%
#11

Gemini 3.1 Flash
Google

$0.001450
vs DeepSeek V4 Flash: ↑ 227.8%
#12

GPT-5.6 Luna
OpenAI

$0.001450
vs DeepSeek V4 Flash: ↑ 227.8%
#13

Gemini 3.6 Flash
Google

$0.001988
vs DeepSeek V4 Flash: ↑ 349.3%
#14

Gemini 3.5 Flash
Google

$0.002175
vs DeepSeek V4 Flash: ↑ 391.6%
#15

Claude Sonnet 5
Anthropic

$0.002650
vs DeepSeek V4 Flash: ↑ 499%
#16

GPT-5.3 Codex Spark
OpenAI

$0.002975
vs DeepSeek V4 Flash: ↑ 572.5%
#17

GPT-5.3 Instant
OpenAI

$0.002975
vs DeepSeek V4 Flash: ↑ 572.5%
#18

GPT-5.6 Terra
OpenAI

$0.003625
vs DeepSeek V4 Flash: ↑ 719.4%
#19

Grok 4.3
xAI

$0.003800
vs DeepSeek V4 Flash: ↑ 759%
#20

Grok 4.20 Beta
xAI

$0.003800
vs DeepSeek V4 Flash: ↑ 759%
#21

Claude Sonnet 4.6
Anthropic

$0.003975
vs DeepSeek V4 Flash: ↑ 798.5%
#22

Gemini 2.5 Pro
Google

$0.004250
vs DeepSeek V4 Flash: ↑ 860.7%
#23

Gemini 3.1 Pro
Google

$0.005800 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1211%
#24

Claude Opus 4.7
Anthropic

$0.006625 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1397.5%
#25

Claude Opus 5
Anthropic

$0.006625 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1397.5%
#26

Claude Opus 4.8
Anthropic

$0.006625 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1397.5%
#27

Claude Opus 4.6
Anthropic

$0.006625 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1397.5%
#28

GPT-5.4
OpenAI

$0.007250 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1538.8%
#29

GPT-5.4 Thinking
OpenAI

$0.007250 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1538.8%
#30

GPT-5.5 Instant
OpenAI

$0.007250 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1538.8%
#31

GPT-5.6 Sol
OpenAI

$0.007250 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1538.8%
#32

Claude Fable 5.1
Anthropic

$0.011750 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 2556%
#33

Claude Mythos 5.1
Anthropic

$0.011750 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 2556%
#34

o3 Deep Research
OpenAI

$0.012000 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 2612.5%
#35

Claude Fable 5
Anthropic

$0.013250 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 2895%
#36

Claude Mythos 5
Anthropic

$0.013250 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 2895%
#37

GPT-5.5
OpenAI

$0.014500 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 3177.6%
#38

o3 Pro
OpenAI

$0.024000 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 5325%
#39

GPT-6 Astra
OpenAI

$0.026500 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 5890.1%
#40

GPT-5.2 Pro
OpenAI

$0.035700 (rounded ~ $0.04)
vs DeepSeek V4 Flash: ↑ 7969.6%
#41

GPT-5.2 Pro
OpenAI

$0.035700 (rounded ~ $0.04)
vs DeepSeek V4 Flash: ↑ 7969.6%
✨ 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.

DeepSeek V4 Flash has established itself as an essential tool for academic researchers building high-volume, retrieval-augmented generation (RAG) systems. In environments where researchers must regularly query massive document databases—often involving thousands of requests per day—balancing performance with operational efficiency is critical.

This model is specifically optimized for high-throughput scenarios, providing a compelling solution for researchers who need to balance the costs of large-scale literature analysis with the necessity of rapid response times. Unlike more parameter-heavy models designed for complex reasoning, DeepSeek V4 Flash excels in tasks that require quick retrieval, summarization, and extraction of information from structured and unstructured sources.

By deploying this model for standard RAG queries, researchers can maintain a responsive research interface while preserving higher-tier model capacity for tasks that demand deeper, more resource-intensive reasoning. It is particularly effective for exploratory search tools where the goal is to quickly surface relevant passages from an extensive library of papers. Because of its lean architecture, the model provides a highly consistent latency profile, which is vital when building tools that require real-time interaction for literature discovery. For research teams scaling their infrastructure, this model represents a strategic choice for managing large-scale document pipelines without compromising on the depth of the information retrieved, allowing for more frequent, iterative queries across the entire research corpus.

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

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