GPT-5.4 OpenAI 1024000 🏔️ Context Cliff
💰 Total Cost Calculation (from Plugin)
Output: $0.056250 (rounded ~ $0.06)
Output: $0.056250 (rounded ~ $0.06)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 1,000,000 input tokens and 5,000 output tokens:
- Input Cost: $2.500000
- Output Cost: $0.056250 (rounded ~ $0.06)
- Total Cost: $0.981250 (rounded ~ $0.98)
- Cost per 1K tokens: $0.000976
- Tokens per dollar: 1,024,204 tokens
- Context Window: 1024000 tokens
Speed & Performance Analysis
With a processing speed of 420 tokens per second and 210ms time to first token:
- Processing Time: 40 minutes, 16.97 seconds
- Latency: 210 milliseconds to first token
- Base Throughput: 420 tokens/second
- Effective Throughput: 416 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to GPT-5.4| Rank | AI Model & Provider | Total Cost | vs GPT-5.4 |
|---|---|---|---|
| 🏆 |
Gemini 3.5 Flash-Lite
Google
|
$0.030875 Best Value | ↓ 96.9% cheaper |
| 🥈 |
Gemini 3.8 Flash
Google
|
$0.074063 (rounded ~ $0.07) | ↓ 92.5% cheaper |
| 🥉 |
Gemini 3.6 Flash
Google
|
$0.148125 (rounded ~ $0.15) | ↓ 84.9% cheaper |
| #4 |
Gemini 2.5 Pro
Google
|
$0.500000 | ↓ 49% cheaper |
| #5 |
GPT-5.4 Thinking
OpenAI
|
$0.981250 (rounded ~ $0.98) | Same price |
| #6 |
GPT-6 Astra
OpenAI
|
$3.950000 | ↑ 302.5% more |
| #7 |
GPT-6 Astra
OpenAI
|
$3.950000 | ↑ 302.5% more |
Gemini 3.5 Flash-Lite Google
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
Gemini 2.5 Pro Google
GPT-5.4 Thinking OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
Scaling Automated Legal Discovery with Reasoning Models
Legal discovery, particularly the initial triage of large document sets, creates a unique demand for models that can balance deep reasoning with high-throughput processing. GPT-5.4 stands out as a versatile workhorse for these tasks, offering a refined balance of reasoning capability and operational efficiency. Unlike smaller, more specialized models, GPT-5.4 maintains high accuracy across a broad range of legal categories, from standard commercial terms to highly specific regulatory compliance requirements. This makes it an ideal choice for teams that need a reliable, general-purpose engine for diverse document types.
For a small startup, the value proposition lies in reducing the ‘integration tax’—you can deploy a single model across multiple legal workflows without needing an array of custom-tuned solutions. GPT-5.4’s ability to act as a reliable agent, following complex, multi-step instructions for clause extraction and risk flagging, reduces the need for manual, error-prone prompt engineering. As your document volume grows into the millions of tokens per month, the stability of the model’s output becomes a critical competitive advantage, enabling consistent reporting for internal stakeholders or clients. While it requires a disciplined approach to input management to control costs, the model’s high context capacity and robust tool-calling capabilities provide a solid foundation for building an automated, scalable legal discovery pipeline that grows with your business.