Llama 4 Maverick Meta AI 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.850000
Output: $0.850000
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: $0.270000
- Output Cost: $0.850000
- Total Cost: $1.120000
- Cost per 1K tokens: $0.000560
- Tokens per dollar: 1,785,714 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 400 tokens per second and 150ms time to first token:
- Processing Time: 1 hour, 27 minutes, 30.00 seconds
- Latency: 150 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 381 tokens/second (temperature-adjusted)
Best Use Cases
DeepSeek V4 DeepSeek 1000000
💰 Total Cost Calculation (from Plugin)
Output: $1.100000
Output: $1.100000
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: $0.270000
- Output Cost: $1.100000
- Total Cost: $1.370000
- Cost per 1K tokens: $0.000685
- Tokens per dollar: 1,459,854 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: 58 minutes, 20.00 seconds
- Latency: 95 milliseconds to first token
- Base Throughput: 600 tokens/second
- Effective Throughput: 571 tokens/second (temperature-adjusted)
Best Use Cases
✨ Market Recommendations AI Model Registry
← Back to Llama 4 Maverick| Rank | AI Model & Provider | Total Cost | vs Llama 4 Maverick | vs DeepSeek V4 |
|---|---|---|---|---|
| 🏆 |
Grok 5
xAI
|
$18.000000 Best Value | ↑ 1507.1% more | ↑ 1213.9% more |
| 🥈 |
Grok 5
xAI
|
$18.000000 | ↑ 1507.1% more | ↑ 1213.9% more |
Grok 5 xAI
Grok 5 xAI
General Versatility vs Coding ROI
Llama 4 Maverick (400B) is the most versatile open-weight model, handling vision, text, and long context with ease. DeepSeek V4 (Engram) is a specialized powerhouse that focuses on the engineering ROI, outperforming Llama 4 in pure Python and Rust development tasks. For a general-purpose local assistant, Llama is the better foundation; for a developer-centric startup building a local coding agent, DeepSeek V4 provides higher performance at a lower compute cost.