Budget Planning: 100K-Token A/B Copy Testing with DeepSeek V4 Flash

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: 102,000 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)
$0.008850 (rounded ~ $0.01) Total Cost
102,000 Total Tokens
2 minutes, 49.66 seconds Processing Time
602 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

$0.007500 Input Cost
$0.001200 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
$0.000087Cost per 1K
11,525,424Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

2m 49s Processing Time
650 Tokens/Second
95ms Time to First Token
602 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

$0.008850 (rounded ~ $0.01)
Total Cost
⚡ 50% 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
98% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.016200 (rounded ~ $0.02) Input: $0.015000 (rounded ~ $0.02)
Output: $0.001200
Optimized Cost $0.008850 (rounded ~ $0.01) Input: $0.015000 (rounded ~ $0.02)
Output: $0.001200
Unit: $0.000000
Fees: $0.000000
Total Savings $0.007350 (rounded ~ $0.01) 45.4% discount

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.015000 (rounded ~ $0.02)
  • Output Cost: $0.001200
  • Total Cost: $0.008850 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000087
  • Tokens per dollar: 11,525,424 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, 49.66 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 650 tokens/second
  • Effective Throughput: 602 tokens/second (temperature-adjusted)

Best Use Cases

Best for indie hackers and small marketing teams needing a cost-effectivehigh-throughput model for generating large batches of creative copy variants.

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✨ Market Recommendations AI Model Registry

← Back to DeepSeek V4 Flash
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Rank AI Model & Provider Total Cost vs DeepSeek V4 Flash
🏆 Claude Haiku 5.5
Anthropic
$0.003250 Best Value ↓ 63.3% cheaper
🥈 GPT-6 Luna
OpenAI
$0.003250 ↓ 63.3% cheaper
🥉 GPT-5.6 Luna
OpenAI
$0.003350 ↓ 62.1% cheaper
#4 Gemini 3.1 Flash Lite
Google
$0.004188 ↓ 52.7% cheaper
#5 Nemotron 3 Super
NVIDIA
$0.004535 ↓ 48.8% cheaper
#6 Gemini 3.5 Flash-Lite
Google
$0.005375 (rounded ~ $0.01) ↓ 39.3% cheaper
#7 Gemini 2.5 Flash
Google
$0.005375 (rounded ~ $0.01) ↓ 39.3% cheaper
#8 Mistral Large 3
Mistral AI
$0.007625 (rounded ~ $0.01) ↓ 13.8% cheaper
#9 Gemini 3.8 Flash
Google
$0.012188 (rounded ~ $0.01) ↑ 37.7% more
#10 Gemini 3.6 Flash
Google
$0.012188 (rounded ~ $0.01) ↑ 37.7% more
#11 GPT-5.4 mini
OpenAI
$0.012563 (rounded ~ $0.01) ↑ 41.9% more
#12 Claude Haiku 4.5
Anthropic
$0.016250 (rounded ~ $0.02) ↑ 83.6% more
#13 Gemini 3.1 Flash
Google
$0.016750 (rounded ~ $0.02) ↑ 89.3% more
#14 Mistral Large 4
Mistral AI
$0.020790 ↑ 134.9% more
#15 GPT-5.3 Codex Spark
OpenAI
$0.031063 (rounded ~ $0.03) ↑ 251% more
#16 GPT-5.3 Instant
OpenAI
$0.031063 (rounded ~ $0.03) ↑ 251% more
#17 Claude Sonnet 5.5
Anthropic
$0.031250 (rounded ~ $0.03) ↑ 253.1% more
#18 Claude Sonnet 5
Anthropic
$0.032500 (rounded ~ $0.03) ↑ 267.2% more
#19 Gemini 4 Argon
Google
$0.032500 (rounded ~ $0.03) ↑ 267.2% more
#20 GPT-5.6 Terra
OpenAI
$0.033500 (rounded ~ $0.03) ↑ 278.5% more
#21 Gemini 2.5 Pro
Google
$0.044375 (rounded ~ $0.04) ↑ 401.4% more
#22 Claude Sonnet 4.6
Anthropic
$0.048750 (rounded ~ $0.05) ↑ 450.8% more
#23 Grok 4.3
xAI
$0.059000 (rounded ~ $0.06) ↑ 566.7% more
#24 Grok 4.20 Beta
xAI
$0.059000 (rounded ~ $0.06) ↑ 566.7% more
#25 Claude Opus 5.5
Anthropic
$0.062500 (rounded ~ $0.06) ↑ 606.2% more
#26 GPT-6.1 Sol
OpenAI
$0.065000 (rounded ~ $0.07) ↑ 634.5% more
#27 GPT-6 Sol
OpenAI
$0.065000 (rounded ~ $0.07) ↑ 634.5% more
#28 GPT-5.6 Sol
OpenAI
$0.065000 (rounded ~ $0.07) ↑ 634.5% more
#29 Gemini 3.1 Pro
Google
$0.067000 (rounded ~ $0.07) ↑ 657.1% more
#30 Claude Opus 4.7
Anthropic
$0.081250 (rounded ~ $0.08) ↑ 818.1% more
#31 Claude Opus 5
Anthropic
$0.081250 (rounded ~ $0.08) ↑ 818.1% more
#32 Claude Opus 4.8
Anthropic
$0.081250 (rounded ~ $0.08) ↑ 818.1% more
#33 Claude Opus 4.6
Anthropic
$0.081250 (rounded ~ $0.08) ↑ 818.1% more
#34 GPT-5.4
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 846.3% more
#35 GPT-5.4 Thinking
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 846.3% more
#36 GPT-5.5 Instant
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 846.3% more
#37 Claude Fable 5.1
Anthropic
$0.153125 (rounded ~ $0.15) ↑ 1630.2% more
#38 Claude Mythos 5.1
Anthropic
$0.153125 (rounded ~ $0.15) ↑ 1630.2% more
#39 Claude Fable 5
Anthropic
$0.162500 (rounded ~ $0.16) ↑ 1736.2% more
#40 Claude Mythos 5
Anthropic
$0.162500 (rounded ~ $0.16) ↑ 1736.2% more
#41 GPT-5.5
OpenAI
$0.167500 (rounded ~ $0.17) ↑ 1792.7% more
#42 GPT-6 Astra
OpenAI
$0.325000 (rounded ~ $0.33) ↑ 3572.3% more
#43 GPT-5.2 Pro
OpenAI
$0.372750 (rounded ~ $0.37) ↑ 4111.9% more
#44 GPT-5.2 Pro
OpenAI
$0.372750 (rounded ~ $0.37) ↑ 4111.9% more
🏆

Claude Haiku 5.5
Anthropic

$0.003250
vs DeepSeek V4 Flash: ↓ 63.3%
🥈

GPT-6 Luna
OpenAI

$0.003250
vs DeepSeek V4 Flash: ↓ 63.3%
🥉

GPT-5.6 Luna
OpenAI

$0.003350
vs DeepSeek V4 Flash: ↓ 62.1%
#4

Gemini 3.1 Flash Lite
Google

$0.004188
vs DeepSeek V4 Flash: ↓ 52.7%
#5

Nemotron 3 Super
NVIDIA

$0.004535
vs DeepSeek V4 Flash: ↓ 48.8%
#6

Gemini 3.5 Flash-Lite
Google

$0.005375 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 39.3%
#7

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 39.3%
#8

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↓ 13.8%
#9

Gemini 3.8 Flash
Google

$0.012188 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 37.7%
#10

Gemini 3.6 Flash
Google

$0.012188 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 37.7%
#11

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 41.9%
#12

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 83.6%
#13

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 89.3%
#14

Mistral Large 4
Mistral AI

$0.020790
vs DeepSeek V4 Flash: ↑ 134.9%
#15

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 251%
#16

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 251%
#17

Claude Sonnet 5.5
Anthropic

$0.031250 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 253.1%
#18

Claude Sonnet 5
Anthropic

$0.032500 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 267.2%
#19

Gemini 4 Argon
Google

$0.032500 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 267.2%
#20

GPT-5.6 Terra
OpenAI

$0.033500 (rounded ~ $0.03)
vs DeepSeek V4 Flash: ↑ 278.5%
#21

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)
vs DeepSeek V4 Flash: ↑ 401.4%
#22

Claude Sonnet 4.6
Anthropic

$0.048750 (rounded ~ $0.05)
vs DeepSeek V4 Flash: ↑ 450.8%
#23

Grok 4.3
xAI

$0.059000 (rounded ~ $0.06)
vs DeepSeek V4 Flash: ↑ 566.7%
#24

Grok 4.20 Beta
xAI

$0.059000 (rounded ~ $0.06)
vs DeepSeek V4 Flash: ↑ 566.7%
#25

Claude Opus 5.5
Anthropic

$0.062500 (rounded ~ $0.06)
vs DeepSeek V4 Flash: ↑ 606.2%
#26

GPT-6.1 Sol
OpenAI

$0.065000 (rounded ~ $0.07)
vs DeepSeek V4 Flash: ↑ 634.5%
#27

GPT-6 Sol
OpenAI

$0.065000 (rounded ~ $0.07)
vs DeepSeek V4 Flash: ↑ 634.5%
#28

GPT-5.6 Sol
OpenAI

$0.065000 (rounded ~ $0.07)
vs DeepSeek V4 Flash: ↑ 634.5%
#29

Gemini 3.1 Pro
Google

$0.067000 (rounded ~ $0.07)
vs DeepSeek V4 Flash: ↑ 657.1%
#30

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)
vs DeepSeek V4 Flash: ↑ 818.1%
#31

Claude Opus 5
Anthropic

$0.081250 (rounded ~ $0.08)
vs DeepSeek V4 Flash: ↑ 818.1%
#32

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)
vs DeepSeek V4 Flash: ↑ 818.1%
#33

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)
vs DeepSeek V4 Flash: ↑ 818.1%
#34

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)
vs DeepSeek V4 Flash: ↑ 846.3%
#35

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)
vs DeepSeek V4 Flash: ↑ 846.3%
#36

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)
vs DeepSeek V4 Flash: ↑ 846.3%
#37

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs DeepSeek V4 Flash: ↑ 1630.2%
#38

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs DeepSeek V4 Flash: ↑ 1630.2%
#39

Claude Fable 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs DeepSeek V4 Flash: ↑ 1736.2%
#40

Claude Mythos 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs DeepSeek V4 Flash: ↑ 1736.2%
#41

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)
vs DeepSeek V4 Flash: ↑ 1792.7%
#42

GPT-6 Astra
OpenAI

$0.325000 (rounded ~ $0.33)
vs DeepSeek V4 Flash: ↑ 3572.3%
#43

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs DeepSeek V4 Flash: ↑ 4111.9%
#44

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs DeepSeek V4 Flash: ↑ 4111.9%
✨ 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.

Managing the AI budget for small-scale marketing experiments often involves choosing models that deliver maximum performance for high-throughput, repetitive tasks. When running 100K-token loads for A/B testing campaign copy, DeepSeek V4 Flash has established itself as an efficiency-first option.

Unlike flagship models reserved for complex, multi-step agentic workflows, DeepSeek V4 Flash is purpose-built for high-throughput, routine tasks. For a social media manager producing 20 variations of ad copy, this model provides consistent performance without the premium cost associated with larger reasoning models. It handles the bulk generation of marketing content effectively, allowing teams to iterate on language angles and calls-to-action rapidly.

One of the primary benefits of DeepSeek V4 Flash for this specific use case is its architecture. It is a Mixture-of-Experts (MoE) model that offers high performance while maintaining cost-efficiency. For teams that need to run daily experiments without constant budget monitoring, this predictability is a major advantage.

However, it is important to note that while excellent for high-volume drafting and copy variants, this model is not designed for deep, multi-step logical reasoning. If your A/B testing requires the model to analyze complex performance data or synthesize competitor research alongside copy generation, you may find that it lacks the deep analysis capabilities of larger, more expensive models. For pure creative drafting and high-volume variation generation, it represents a highly efficient choice for cost-conscious solo practitioners and indie teams.

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.