Long-Form Translation: Cost for 50,000-Token Calls with DeepSeek V4 Pro

Complete Analysis: 52,000 tokens for DeepSeek V4 Pro
⚡ 15% Cached

Complete analysis of pricing, performance, and use cases for DeepSeek's DeepSeek V4 Pro model with 15% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.020554 Total Cost
52,000 Total Tokens
3 minutes, 5.65 seconds Processing Time
280 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

DeepSeek V4 Pro
DeepSeekMax Context: 1,000,000 tokens
$0.435 / $0.87 per 1M tokens
▼
▼
Use Batch API (50% discount)
15%
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

$0.020554 Total Cost
$0.018488 Input Cost
$0.001740 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
52,000Total Tokens
$0.000395Cost per 1K
2,529,952Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 5s Processing Time
300 Tokens/Second
180ms Time to First Token
280 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 Pro DeepSeek 1000000

$0.020554
Total Cost
⚡ 15% 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) $0.023490 (rounded ~ $0.02) Input: $0.021750 (rounded ~ $0.02)
Output: $0.001740
Optimized Cost $0.020554 Input: $0.021750 (rounded ~ $0.02)
Output: $0.001740
Unit: $0.000000
Fees: $0.000000
Total Savings $0.002936 12.5% discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.021750 (rounded ~ $0.02)
  • Output Cost: $0.001740
  • Total Cost: $0.020554
  • Cost per 1K tokens: $0.000395
  • Tokens per dollar: 2,529,952 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 300 tokens per second and 180ms time to first token:

  • Processing Time: 3 minutes, 5.65 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 280 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for developers and product managers needing to translate large volumes of text efficientlysuch as product catalogsdocumentationor marketing contentwhere cost-effectiveness and large context handling are paramount.

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✨ Market Recommendations AI Model Registry

← Back to DeepSeek V4 Pro
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 15%
Rank AI Model & Provider Total Cost vs DeepSeek V4 Pro
🏆 Mistral Small 3
Mistral AI
 $0.001231 Best Value ↓ 94% cheaper
🥈 Devstral Small 2
Mistral AI
 $0.001231 ↓ 94% cheaper
🥉 Ministral 3 (14B)
Mistral AI
 $0.002263 ↓ 89% cheaper
#4 Grok Code Fast 1
xAI
 $0.002913 ↓ 85.8% cheaper
#5 Gemini 3.1 Flash Lite
Google
 $0.003453 ↓ 83.2% cheaper
#6 Nemotron 3 Super
Mistral AI
 $0.003654 ↓ 82.2% cheaper
#7 Gemini 2.5 Flash
Google
 $0.004494 ↓ 78.1% cheaper
#8 Devstral 2
Mistral AI
 $0.004775 ↓ 76.8% cheaper
#9 Mistral Large 3
Mistral AI
 $0.006156 (rounded ~ $0.01) ↓ 70% cheaper
#10 GPT-5.4 mini
OpenAI
 $0.010359 ↓ 49.6% cheaper
#11 o4-mini Deep Research
OpenAI
 $0.012813 (rounded ~ $0.01) ↓ 37.7% cheaper
#12 Claude Haiku 4.5
Anthropic
 $0.013313 (rounded ~ $0.01) ↓ 35.2% cheaper
#13 Gemini 3.1 Flash
Google
 $0.013813 (rounded ~ $0.01) ↓ 32.8% cheaper
#14 o4-mini
OpenAI
 $0.014094 (rounded ~ $0.01) ↓ 31.4% cheaper
#15 Grok 4.3
xAI
 $0.014766 (rounded ~ $0.01) ↓ 28.2% cheaper
#16 Gemini 3.5 Flash
Google
 $0.020719 ↑ 0.8% more
#17 Magistral Medium
Mistral AI
 $0.024125 (rounded ~ $0.02) ↑ 17.4% more
#18 Grok 4.20 Beta
xAI
 $0.024625 (rounded ~ $0.02) ↑ 19.8% more
#19 GPT-5.3 Codex Spark
OpenAI
 $0.025922 (rounded ~ $0.03) ↑ 26.1% more
#20 GPT-5.3 Instant
OpenAI
 $0.025922 (rounded ~ $0.03) ↑ 26.1% more
#21 Gemini 2.5 Pro
Google
 $0.037031 (rounded ~ $0.04) ↑ 80.2% more
#22 Claude Sonnet 4.6
Anthropic
 $0.039938 ↑ 94.3% more
#23 Gemini 3.1 Pro
Google
 $0.055250 (rounded ~ $0.06) ↑ 168.8% more
#24 Claude Opus 4.7
Anthropic
 $0.066563 (rounded ~ $0.07) ↑ 223.8% more
#25 Claude Opus 4.8
Anthropic
 $0.066563 (rounded ~ $0.07) ↑ 223.8% more
#26 Claude Opus 4.6
Anthropic
 $0.066563 (rounded ~ $0.07) ↑ 223.8% more
#27 GPT-5.4
OpenAI
 $0.069063 ↑ 236% more
#28 GPT-5.4 Thinking
OpenAI
 $0.069063 ↑ 236% more
#29 GPT-5.5 Instant
OpenAI
 $0.069063 ↑ 236% more
#30 o3 Deep Research
OpenAI
 $0.128125 (rounded ~ $0.13) ↑ 523.4% more
#31 GPT-5.5
OpenAI
 $0.138125 (rounded ~ $0.14) ↑ 572% more
#32 o3 Pro
OpenAI
 $0.256250 (rounded ~ $0.26) ↑ 1146.7% more
#33 GPT-5.2 Pro
OpenAI
 $0.311063 (rounded ~ $0.31) ↑ 1413.4% more
#34 GPT-5.2 Pro
OpenAI
 $0.311063 (rounded ~ $0.31) ↑ 1413.4% more
🏆

Mistral Small 3
Mistral AI

$0.001231
vs DeepSeek V4 Pro: ↓ 94%
🥈

Devstral Small 2
Mistral AI

$0.001231
vs DeepSeek V4 Pro: ↓ 94%
🥉

Ministral 3 (14B)
Mistral AI

$0.002263
vs DeepSeek V4 Pro: ↓ 89%
#4

Grok Code Fast 1
xAI

$0.002913
vs DeepSeek V4 Pro: ↓ 85.8%
#5

Gemini 3.1 Flash Lite
Google

$0.003453
vs DeepSeek V4 Pro: ↓ 83.2%
#6

Nemotron 3 Super
Mistral AI

$0.003654
vs DeepSeek V4 Pro: ↓ 82.2%
#7

Gemini 2.5 Flash
Google

$0.004494
vs DeepSeek V4 Pro: ↓ 78.1%
#8

Devstral 2
Mistral AI

$0.004775
vs DeepSeek V4 Pro: ↓ 76.8%
#9

Mistral Large 3
Mistral AI

$0.006156 (rounded ~ $0.01)
vs DeepSeek V4 Pro: ↓ 70%
#10

GPT-5.4 mini
OpenAI

$0.010359
vs DeepSeek V4 Pro: ↓ 49.6%
#11

o4-mini Deep Research
OpenAI

$0.012813 (rounded ~ $0.01)
vs DeepSeek V4 Pro: ↓ 37.7%
#12

Claude Haiku 4.5
Anthropic

$0.013313 (rounded ~ $0.01)
vs DeepSeek V4 Pro: ↓ 35.2%
#13

Gemini 3.1 Flash
Google

$0.013813 (rounded ~ $0.01)
vs DeepSeek V4 Pro: ↓ 32.8%
#14

o4-mini
OpenAI

$0.014094 (rounded ~ $0.01)
vs DeepSeek V4 Pro: ↓ 31.4%
#15

Grok 4.3
xAI

$0.014766 (rounded ~ $0.01)
vs DeepSeek V4 Pro: ↓ 28.2%
#16

Gemini 3.5 Flash
Google

$0.020719
vs DeepSeek V4 Pro: ↑ 0.8%
#17

Magistral Medium
Mistral AI

$0.024125 (rounded ~ $0.02)
vs DeepSeek V4 Pro: ↑ 17.4%
#18

Grok 4.20 Beta
xAI

$0.024625 (rounded ~ $0.02)
vs DeepSeek V4 Pro: ↑ 19.8%
#19

GPT-5.3 Codex Spark
OpenAI

$0.025922 (rounded ~ $0.03)
vs DeepSeek V4 Pro: ↑ 26.1%
#20

GPT-5.3 Instant
OpenAI

$0.025922 (rounded ~ $0.03)
vs DeepSeek V4 Pro: ↑ 26.1%
#21

Gemini 2.5 Pro
Google

$0.037031 (rounded ~ $0.04)
vs DeepSeek V4 Pro: ↑ 80.2%
#22

Claude Sonnet 4.6
Anthropic

$0.039938
vs DeepSeek V4 Pro: ↑ 94.3%
#23

Gemini 3.1 Pro
Google

$0.055250 (rounded ~ $0.06)
vs DeepSeek V4 Pro: ↑ 168.8%
#24

Claude Opus 4.7
Anthropic

$0.066563 (rounded ~ $0.07)
vs DeepSeek V4 Pro: ↑ 223.8%
#25

Claude Opus 4.8
Anthropic

$0.066563 (rounded ~ $0.07)
vs DeepSeek V4 Pro: ↑ 223.8%
#26

Claude Opus 4.6
Anthropic

$0.066563 (rounded ~ $0.07)
vs DeepSeek V4 Pro: ↑ 223.8%
#27

GPT-5.4
OpenAI

$0.069063
vs DeepSeek V4 Pro: ↑ 236%
#28

GPT-5.4 Thinking
OpenAI

$0.069063
vs DeepSeek V4 Pro: ↑ 236%
#29

GPT-5.5 Instant
OpenAI

$0.069063
vs DeepSeek V4 Pro: ↑ 236%
#30

o3 Deep Research
OpenAI

$0.128125 (rounded ~ $0.13)
vs DeepSeek V4 Pro: ↑ 523.4%
#31

GPT-5.5
OpenAI

$0.138125 (rounded ~ $0.14)
vs DeepSeek V4 Pro: ↑ 572%
#32

o3 Pro
OpenAI

$0.256250 (rounded ~ $0.26)
vs DeepSeek V4 Pro: ↑ 1146.7%
#33

GPT-5.2 Pro
OpenAI

$0.311063 (rounded ~ $0.31)
vs DeepSeek V4 Pro: ↑ 1413.4%
#34

GPT-5.2 Pro
OpenAI

$0.311063 (rounded ~ $0.31)
vs DeepSeek V4 Pro: ↑ 1413.4%
✨ 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 DeepSeek V4 Pro for Game Catalog Translation

For game studios managing extensive product catalogs and in-game item descriptions across multiple regions, efficient and high-quality translation is critical for global player engagement. DeepSeek V4 Pro emerges as a strong contender for your translation pipeline, particularly when dealing with large volumes of text per product. Its robust text processing capabilities and substantial context window (1,000,000 tokens) make it well-suited for translating detailed product descriptions, lore entries, or even complex dialogue snippets without losing nuance or context.

Leveraging DeepSeek V4 Pro can lead to significant cost optimization for your ongoing translation needs. Its efficiency in handling complex linguistic structures and its competitive pricing model make it an attractive choice for mid-market companies scaling their global reach. This model is particularly effective when integrated into batch processing workflows, streamlining the translation of thousands of items into 12 languages. The ability to process up to 50,000 tokens per call allows for comprehensive translation of even lengthy descriptions in a single pass, reducing API call overhead.

When evaluating AI options for your translation pipeline, consider DeepSeek V4 Pro for its balance of performance, cost-effectiveness, and its capacity to manage extensive textual data, ensuring your game’s product catalog resonates accurately and compellingly with players worldwide.

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.