Grok 4 Deep Reason xAI 2000000
💰 Total Cost Calculation
Output: $25.000000
Output: $25.000000
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis
For 1,000,000 input tokens and 1,000,000 output tokens:
- Input Cost: $5.000000
- Output Cost: $25.000000
- Unit Cost: $0.000000
- Service Fees: $0.000000
- Total Cost: $30.000000
- Cost per 1K tokens: $0.015000 (rounded ~ 0.02)
- Tokens per dollar: 66,667 tokens
- Context Window: 2000000 tokens
Speed & Performance Analysis
With a processing speed of 100 tokens per second and 350ms time to first token:
- Processing Time: 5 hours, 50 minutes
- Latency: 350 milliseconds to first token
- Base Throughput: 100 tokens/second
- Effective Throughput: 95 tokens/second
Best Use Cases
Gemini 3.1 Pro Google 2000000
💰 Total Cost Calculation
Output: $5.000000
Output: $5.000000
Unit: $0.000000
Fees: $0.050000
Advanced Cost Breakdown
Detailed Cost Analysis
For 1,000,000 input tokens and 1,000,000 output tokens:
- Input Cost: $1.000000
- Output Cost: $5.000000
- Unit Cost: $0.000000
- Service Fees: $0.050000
- Total Cost: $6.050000
- Cost per 1K tokens: $0.003025 (rounded ~ 0.00)
- Tokens per dollar: 330,579 tokens
- Context Window: 2000000 tokens
Speed & Performance Analysis
With a processing speed of 400 tokens per second and 220ms time to first token:
- Processing Time: 1 hour, 27 minutes, 30.00 seconds
- Latency: 220 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 381 tokens/second
Best Use Cases
Real-Time Awareness vs Contextual Memory
Grok 4 Deep Reason is the king of real-time situational awareness, utilizing X’s firehose to understand breaking news faster than any other model. Gemini 3.1 Pro focuses on deep contextual memory, with a 2M window that allows it to ‘remember’ long-term project histories better than Grok. For day trading and rapid news synthesis, Grok is the top tool; for researchers managing years of documentation and multimodal archives, Gemini 3.1 Pro is the superior architectural choice.