DeepSeek V4 (Engram) DeepSeek 1000000
$0.001862 (rounded ~ 0.00)
Total Cost
Vision/Images
✗ Not Available
Audio Processing
✗ Not Available
Video Analysis
✗ Not Available
Tool Usage
✓ Available
OCR Support
✗ Not Available
Batch API
✓ Available
Caching
✓ Available
90% savings
💰 Total Cost Calculation (from Plugin)
Base Cost (No Optimizations)
$0.001862 (rounded ~ 0.00)
Input: $0.001323 (rounded ~ 0.00)
Output: $0.000539
Output: $0.000539
Optimized Cost
$0.001862 (rounded ~ 0.00)
Input: $0.001323 (rounded ~ 0.00)
Output: $0.000539
Unit: $0.000000
Fees: $0.000000
Output: $0.000539
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
📊 Batch API
30.0% off
Asynchronous processing discount
Detailed Cost Analysis (from Plugin)
For 10,000 input tokens and 1,000 output tokens:
- Input Cost: $0.001323 (rounded ~ 0.00)
- Output Cost: $0.000539
- Total Cost: $0.001862 (rounded ~ 0.00)
- Cost per 1K tokens: $0.000169
- Tokens per dollar: 5,907,626 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 600 tokens per second and 95ms time to first token:
- Processing Time: 18.00 seconds
- Latency: 95 milliseconds to first token
- Base Throughput: 600 tokens/second
- Effective Throughput: 588 tokens/second (temperature-adjusted)
Best Use Cases
Technical AnalysisQuant ResearchChart Pattern Recognition
✨ Market Recommendations AI Model Registry
← Back to DeepSeek V4 (Engram)
📋 Active Input Parameters
Input Tokens:
10,000
Output Tokens:
1,000
Batch API:
Enabled (50% discount)
Tools:
Enabled
| Rank | AI Model & Provider | Total Cost | vs DeepSeek V4 (Engram) |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.000325 Best Value | ↓ 82.5% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.000700 | ↓ 62.4% cheaper |
| 🥉 |
o4-mini Deep Research
OpenAI
|
$0.003500 (rounded ~ 0.00) | ↑ 88% more |
| #4 |
Llama 4 Maverick (400B)
Meta AI
|
$0.003550 (rounded ~ 0.00) | ↑ 90.7% more |
| #5 |
o4-mini
OpenAI
|
$0.003850 (rounded ~ 0.00) | ↑ 106.8% more |
| #6 |
Mistral Large 3
Mistral AI
|
$0.006500 (rounded ~ 0.01) | ↑ 249.1% more |
| #7 |
GPT-5.3 Codex Spark
OpenAI
|
$0.007875 (rounded ~ 0.01) | ↑ 322.9% more |
| #8 |
Grok 5
xAI
|
$0.011250 (rounded ~ 0.01) | ↑ 504.2% more |
| #9 |
Gemini 3.1 Pro
Google
|
$0.016000 (rounded ~ 0.02) | ↑ 759.3% more |
| #10 |
GPT-5.4 Thinking
OpenAI
|
$0.020000 | ↑ 974.1% more |
| #11 |
Claude Sonnet 4.6
Anthropic
|
$0.022500 (rounded ~ 0.02) | ↑ 1108.4% more |
| #12 |
o3 Deep Research
OpenAI
|
$0.035000 (rounded ~ 0.04) | ↑ 1779.7% more |
| #13 |
Claude Opus 4.6
Anthropic
|
$0.037500 (rounded ~ 0.04) | ↑ 1914% more |
| #14 |
o3 Pro
OpenAI
|
$0.070000 | ↑ 3659.4% more |
| #15 |
GPT-5.2 Pro
OpenAI
|
$0.094500 (rounded ~ 0.09) | ↑ 4975.2% more |
| #16 |
GPT-5.2 Pro
OpenAI
|
$0.094500 (rounded ~ 0.09) | ↑ 4975.2% more |
🏆
Mistral Small 3
Mistral Small 3 Mistral AI
$0.000325
vs DeepSeek V4 (Engram):
↓ 82.5%
🥈
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite Google
$0.000700
vs DeepSeek V4 (Engram):
↓ 62.4%
🥉
o4-mini Deep Research
o4-mini Deep Research OpenAI
$0.003500 (rounded ~ 0.00)
vs DeepSeek V4 (Engram):
↑ 88%
#4
Llama 4 Maverick (400B)
Llama 4 Maverick (400B) Meta AI
$0.003550 (rounded ~ 0.00)
vs DeepSeek V4 (Engram):
↑ 90.7%
#5
o4-mini
o4-mini OpenAI
$0.003850 (rounded ~ 0.00)
vs DeepSeek V4 (Engram):
↑ 106.8%
#6
Mistral Large 3
Mistral Large 3 Mistral AI
$0.006500 (rounded ~ 0.01)
vs DeepSeek V4 (Engram):
↑ 249.1%
#7
GPT-5.3 Codex Spark
GPT-5.3 Codex Spark OpenAI
$0.007875 (rounded ~ 0.01)
vs DeepSeek V4 (Engram):
↑ 322.9%
#8
Grok 5
Grok 5 xAI
$0.011250 (rounded ~ 0.01)
vs DeepSeek V4 (Engram):
↑ 504.2%
#9
Gemini 3.1 Pro
Gemini 3.1 Pro Google
$0.016000 (rounded ~ 0.02)
vs DeepSeek V4 (Engram):
↑ 759.3%
#10
GPT-5.4 Thinking
GPT-5.4 Thinking OpenAI
$0.020000
vs DeepSeek V4 (Engram):
↑ 974.1%
#11
Claude Sonnet 4.6
Claude Sonnet 4.6 Anthropic
$0.022500 (rounded ~ 0.02)
vs DeepSeek V4 (Engram):
↑ 1108.4%
#12
o3 Deep Research
o3 Deep Research OpenAI
$0.035000 (rounded ~ 0.04)
vs DeepSeek V4 (Engram):
↑ 1779.7%
#13
Claude Opus 4.6
Claude Opus 4.6 Anthropic
$0.037500 (rounded ~ 0.04)
vs DeepSeek V4 (Engram):
↑ 1914%
#14
o3 Pro
o3 Pro OpenAI
$0.070000
vs DeepSeek V4 (Engram):
↑ 3659.4%
#15
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$0.094500 (rounded ~ 0.09)
vs DeepSeek V4 (Engram):
↑ 4975.2%
#16
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$0.094500 (rounded ~ 0.09)
vs DeepSeek V4 (Engram):
↑ 4975.2%
✨ 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.
Vision-Grounded Quant Research
Analyze thousands of stock charts simultaneously. DeepSeek V4’s Engram memory allows it to maintain visual patterns across massive datasets at ultra-low cost.
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.