Grok 5 xAI 2000000
$0.032438 (rounded ~ 0.03)
Total Cost
Vision/Images
✓ Available
Audio Processing
✓ Available
Video Analysis
✓ Available
Tool Usage
✓ Available
OCR Support
✗ Not Available
Batch API
✓ Available
Caching
✓ Available
90% savings
💰 Total Cost Calculation (from Plugin)
Base Cost (No Optimizations)
$0.037500 (rounded ~ 0.04)
Input: $0.018750 (rounded ~ 0.02)
Output: $0.018750 (rounded ~ 0.02)
Output: $0.018750 (rounded ~ 0.02)
Optimized Cost
$0.032438 (rounded ~ 0.03)
Input: $0.018750 (rounded ~ 0.02)
Output: $0.018750 (rounded ~ 0.02)
Unit: $0.000000
Fees: $0.000000
Output: $0.018750 (rounded ~ 0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings
$0.005063 (rounded ~ 0.01)
13.5% discount
Advanced Cost Breakdown (from Plugin)
📊 Batch API
50.0% off
Asynchronous processing discount
Detailed Cost Analysis (from Plugin)
For 25,000 input tokens and 5,000 output tokens:
- Input Cost: $0.018750 (rounded ~ 0.02)
- Output Cost: $0.018750 (rounded ~ 0.02)
- Total Cost: $0.032438 (rounded ~ 0.03)
- Cost per 1K tokens: $0.001081 (rounded ~ 0.00)
- Tokens per dollar: 924,855 tokens
- Context Window: 2000000 tokens
Speed & Performance Analysis
With a processing speed of 500 tokens per second and 200ms time to first token:
- Processing Time: 1 minute, 4.00 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 467 tokens/second (temperature-adjusted)
Best Use Cases
Real-time X data analysis for PR and brand management.
Grok 4.1 xAI 1000000
$0.064875 (rounded ~ 0.06)
Total Cost
Vision/Images
✓ Available
Audio Processing
✓ Available
Video Analysis
✓ Available
Tool Usage
✓ Available
OCR Support
✗ Not Available
Batch API
✓ Available
Caching
✓ Available
90% savings
💰 Total Cost Calculation (from Plugin)
Base Cost (No Optimizations)
$0.075000 (rounded ~ 0.08)
Input: $0.037500 (rounded ~ 0.04)
Output: $0.037500 (rounded ~ 0.04)
Output: $0.037500 (rounded ~ 0.04)
Optimized Cost
$0.064875 (rounded ~ 0.06)
Input: $0.037500 (rounded ~ 0.04)
Output: $0.037500 (rounded ~ 0.04)
Unit: $0.000000
Fees: $0.000000
Output: $0.037500 (rounded ~ 0.04)
Unit: $0.000000
Fees: $0.000000
Total Savings
$0.010125
13.5% discount
Advanced Cost Breakdown (from Plugin)
📊 Batch API
50.0% off
Asynchronous processing discount
Detailed Cost Analysis (from Plugin)
For 25,000 input tokens and 5,000 output tokens:
- Input Cost: $0.037500 (rounded ~ 0.04)
- Output Cost: $0.037500 (rounded ~ 0.04)
- Total Cost: $0.064875 (rounded ~ 0.06)
- Cost per 1K tokens: $0.002163 (rounded ~ 0.00)
- Tokens per dollar: 462,428 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 550 tokens per second and 200ms time to first token:
- Processing Time: 58.00 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 550 tokens/second
- Effective Throughput: 514 tokens/second (temperature-adjusted)
Best Use Cases
Real-time X data analysis for PR and brand management.
✨ Market Recommendations AI Model Registry
← Back to Grok 5
📋 Active Input Parameters
Input Tokens:
25,000
Output Tokens:
5,000
Batch API:
Enabled (50% discount)
Cached Tokens:
30%
Tools:
Enabled
| Rank | AI Model & Provider | Total Cost | vs Grok 5 | vs Grok 4.1 |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.000831 Best Value | ↓ 97.4% cheaper | ↓ 98.7% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.001913 (rounded ~ 0.00) | ↓ 94.1% cheaper | ↓ 97.1% cheaper |
| 🥉 |
o4-mini Deep Research
OpenAI
|
$0.009563 | ↓ 70.5% cheaper | ↓ 85.3% cheaper |
| #4 |
o4-mini
OpenAI
|
$0.010519 | ↓ 67.6% cheaper | ↓ 83.8% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.016625 (rounded ~ 0.02) | ↓ 48.7% cheaper | ↓ 74.4% cheaper |
| #6 |
GPT-5.3 Codex Spark
OpenAI
|
$0.025484 (rounded ~ 0.03) | ↓ 21.4% cheaper | ↓ 60.7% cheaper |
| #7 |
Gemini 3.1 Pro
Google
|
$0.048250 (rounded ~ 0.05) | ↑ 48.7% more | ↓ 25.6% cheaper |
| #8 |
GPT-5.4 Thinking
OpenAI
|
$0.060313 | ↑ 85.9% more | ↓ 7% cheaper |
| #9 |
Claude Sonnet 4.6
Anthropic
|
$0.064313 (rounded ~ 0.06) | ↑ 98.3% more | ↓ 0.9% cheaper |
| #10 |
o3 Deep Research
OpenAI
|
$0.095625 (rounded ~ 0.10) | ↑ 194.8% more | ↑ 47.4% more |
| #11 |
Claude Opus 4.6
Anthropic
|
$0.107188 (rounded ~ 0.11) | ↑ 230.4% more | ↑ 65.2% more |
| #12 |
o3 Pro
OpenAI
|
$0.191250 (rounded ~ 0.19) | ↑ 489.6% more | ↑ 194.8% more |
| #13 |
GPT-5.2 Pro
OpenAI
|
$0.305813 (rounded ~ 0.31) | ↑ 842.8% more | ↑ 371.4% more |
| #14 |
GPT-5.2 Pro
OpenAI
|
$0.305813 (rounded ~ 0.31) | ↑ 842.8% more | ↑ 371.4% more |
🏆
Mistral Small 3
Mistral Small 3 Mistral AI
$0.000831
vs Grok 5:
↓ 97.4%
vs Grok 4.1:
↓ 98.7%
🥈
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite Google
$0.001913 (rounded ~ 0.00)
vs Grok 5:
↓ 94.1%
vs Grok 4.1:
↓ 97.1%
🥉
o4-mini Deep Research
o4-mini Deep Research OpenAI
$0.009563
vs Grok 5:
↓ 70.5%
vs Grok 4.1:
↓ 85.3%
#4
o4-mini
o4-mini OpenAI
$0.010519
vs Grok 5:
↓ 67.6%
vs Grok 4.1:
↓ 83.8%
#5
Mistral Large 3
Mistral Large 3 Mistral AI
$0.016625 (rounded ~ 0.02)
vs Grok 5:
↓ 48.7%
vs Grok 4.1:
↓ 74.4%
#6
GPT-5.3 Codex Spark
GPT-5.3 Codex Spark OpenAI
$0.025484 (rounded ~ 0.03)
vs Grok 5:
↓ 21.4%
vs Grok 4.1:
↓ 60.7%
#7
Gemini 3.1 Pro
Gemini 3.1 Pro Google
$0.048250 (rounded ~ 0.05)
vs Grok 5:
↑ 48.7%
vs Grok 4.1:
↓ 25.6%
#8
GPT-5.4 Thinking
GPT-5.4 Thinking OpenAI
$0.060313
vs Grok 5:
↑ 85.9%
vs Grok 4.1:
↓ 7%
#9
Claude Sonnet 4.6
Claude Sonnet 4.6 Anthropic
$0.064313 (rounded ~ 0.06)
vs Grok 5:
↑ 98.3%
vs Grok 4.1:
↓ 0.9%
#10
o3 Deep Research
o3 Deep Research OpenAI
$0.095625 (rounded ~ 0.10)
vs Grok 5:
↑ 194.8%
vs Grok 4.1:
↑ 47.4%
#11
Claude Opus 4.6
Claude Opus 4.6 Anthropic
$0.107188 (rounded ~ 0.11)
vs Grok 5:
↑ 230.4%
vs Grok 4.1:
↑ 65.2%
#12
o3 Pro
o3 Pro OpenAI
$0.191250 (rounded ~ 0.19)
vs Grok 5:
↑ 489.6%
vs Grok 4.1:
↑ 194.8%
#13
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$0.305813 (rounded ~ 0.31)
vs Grok 5:
↑ 842.8%
vs Grok 4.1:
↑ 371.4%
#14
GPT-5.2 Pro
GPT-5.2 Pro OpenAI
$0.305813 (rounded ~ 0.31)
vs Grok 5:
↑ 842.8%
vs Grok 4.1:
↑ 371.4%
✨ 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.
Real-time X data analysis for PR and brand management.
Estimate the operational costs for 2026 enterprise AI deployments using latest tokenomics.
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.