DeepSeek V3.2 DeepSeek
$0.700000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 128,000 tokens. Budgeting mode active.
Vision/Images
✗ Not Available
Audio Processing
✗ Not Available
Video Analysis
✗ Not Available
Tool Usage
✗ Not Available
OCR Support
✗ Not Available
Batch API
✓ Available
Caching
✓ Available
90% savings
💰 Total Cost Calculation (from Plugin)
Base Cost (No Optimizations)
$0.700000
Input: $0.280000
Output: $0.420000
Output: $0.420000
Optimized Cost
$0.700000
Input: $0.280000
Output: $0.420000
Unit: $0.000000
Fees: $0.000000
Output: $0.420000
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 1,000,000 input tokens and 1,000,000 output tokens:
- Input Cost: $0.280000
- Output Cost: $0.420000
- Total Cost: $0.700000
- Cost per 1K tokens: $0.000350
- Tokens per dollar: 2,857,143 tokens
- Context Window: 128000 tokens
Speed & Performance Analysis
With a processing speed of 650 tokens per second and 110ms time to first token:
- Processing Time: 54 minutes, 52.49 seconds
- Latency: 110 milliseconds to first token
- Base Throughput: 650 tokens/second
- Effective Throughput: 607 tokens/second (temperature-adjusted)
Best Use Cases
Efficient Data ProcessingMultilingual Chat
Want this applied to YOUR actual stack?
This calculator shows the math for DeepSeek V3.2. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.
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← Back to DeepSeek V3.2
📋 Active Input Parameters
Input Tokens:
1,000,000
Output Tokens:
1,000,000
| Rank | AI Model & Provider | Total Cost | vs DeepSeek V3.2 |
|---|---|---|---|
| 🏆 |
Llama 4 Scout
Meta AI
|
$0.380000 Best Value | ↓ 45.7% cheaper |
| 🥈 |
Grok 4.20 Beta
xAI
|
$8.000000 | ↑ 1042.9% more |
| 🥉 |
Gemini 2.5 Pro
Google
|
$17.500000 | ↑ 2400% more |
| #4 |
Gemini 2.5 Pro
Google
|
$17.500000 | ↑ 2400% more |
🏆
Llama 4 Scout
Llama 4 Scout Meta AI
$0.380000
vs DeepSeek V3.2:
↓ 45.7%
🥈
Grok 4.20 Beta
Grok 4.20 Beta xAI
$8.000000
vs DeepSeek V3.2:
↑ 1042.9%
🥉
Gemini 2.5 Pro
Gemini 2.5 Pro Google
$17.500000
vs DeepSeek V3.2:
↑ 2400%
#4
Gemini 2.5 Pro
Gemini 2.5 Pro Google
$17.500000
vs DeepSeek V3.2:
↑ 2400%
✨ 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.
Next-Generation DeepSeek V3.2 Intelligence
DeepSeek V3.2 is a frontier model from DeepSeek optimized for the 2026 AI landscape.
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 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.