GPT-5.4 Pro OpenAI 1024000 🏔️ Context Cliff
💰 Total Cost Calculation (from Plugin)
Output: $0.270000
Output: $0.270000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 800,000 input tokens and 2,000 output tokens:
- Input Cost: $24.000000
- Output Cost: $0.270000
- Total Cost: $15.630000
- Cost per 1K tokens: $0.019489
- Tokens per dollar: 51,312 tokens
- Context Window: 1024000 tokens
Speed & Performance Analysis
With a processing speed of 350 tokens per second and 250ms time to first token:
- Processing Time: 38 minutes, 57.44 seconds
- Latency: 250 milliseconds to first token
- Base Throughput: 350 tokens/second
- Effective Throughput: 343 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to GPT-5.4 Pro| Rank | AI Model & Provider | Total Cost | vs GPT-5.4 Pro |
|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.032750 (rounded ~ $0.03) Best Value | ↓ 99.8% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.039650 | ↓ 99.7% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.039650 | ↓ 99.7% cheaper |
| #4 |
Gemini 3.8 Flash
Google
|
$0.097875 (rounded ~ $0.10) | ↓ 99.4% cheaper |
| #5 |
GPT-5.6 Luna
OpenAI
|
$0.131000 (rounded ~ $0.13) | ↓ 99.2% cheaper |
| #6 |
Gemini 3.6 Flash
Google
|
$0.195750 (rounded ~ $0.20) | ↓ 98.7% cheaper |
| #7 |
Gemini 3.5 Flash
Google
|
$0.196500 (rounded ~ $0.20) | ↓ 98.7% cheaper |
| #8 |
Claude Sonnet 5
Anthropic
|
$0.261000 (rounded ~ $0.26) | ↓ 98.3% cheaper |
| #9 |
Gemini 3.1 Flash
Google
|
$0.262000 (rounded ~ $0.26) | ↓ 98.3% cheaper |
| #10 |
GPT-5.6 Terra
OpenAI
|
$0.327500 (rounded ~ $0.33) | ↓ 97.9% cheaper |
| #11 |
Claude Sonnet 4.6
Anthropic
|
$0.391500 (rounded ~ $0.39) | ↓ 97.5% cheaper |
| #12 |
Claude Opus 4.7
Anthropic
|
$0.652500 (rounded ~ $0.65) | ↓ 95.8% cheaper |
| #13 |
Claude Opus 5
Anthropic
|
$0.652500 (rounded ~ $0.65) | ↓ 95.8% cheaper |
| #14 |
Claude Opus 4.8
Anthropic
|
$0.652500 (rounded ~ $0.65) | ↓ 95.8% cheaper |
| #15 |
Claude Opus 4.6
Anthropic
|
$0.652500 (rounded ~ $0.65) | ↓ 95.8% cheaper |
| #16 |
Gemini 2.5 Pro
Google
|
$0.655000 (rounded ~ $0.66) | ↓ 95.8% cheaper |
| #17 |
GPT-5.6 Sol
OpenAI
|
$0.655000 (rounded ~ $0.66) | ↓ 95.8% cheaper |
| #18 |
Grok 4.3
xAI
|
$1.032000 (rounded ~ $1.03) | ↓ 93.4% cheaper |
| #19 |
Grok 4.20 Beta
xAI
|
$1.032000 (rounded ~ $1.03) | ↓ 93.4% cheaper |
| #20 |
Gemini 3.1 Pro
Google
|
$1.042000 (rounded ~ $1.04) | ↓ 93.3% cheaper |
| #21 |
Claude Fable 5.1
Anthropic
|
$1.245000 (rounded ~ $1.25) | ↓ 92% cheaper |
| #22 |
Claude Mythos 5.1
Anthropic
|
$1.245000 (rounded ~ $1.25) | ↓ 92% cheaper |
| #23 |
GPT-5.4
OpenAI
|
$1.302500 (rounded ~ $1.30) | ↓ 91.7% cheaper |
| #24 |
GPT-5.4 Thinking
OpenAI
|
$1.302500 (rounded ~ $1.30) | ↓ 91.7% cheaper |
| #25 |
Claude Fable 5
Anthropic
|
$1.305000 (rounded ~ $1.31) | ↓ 91.7% cheaper |
| #26 |
Claude Mythos 5
Anthropic
|
$1.305000 (rounded ~ $1.31) | ↓ 91.7% cheaper |
| #27 |
GPT-5.5
OpenAI
|
$2.605000 (rounded ~ $2.61) | ↓ 83.3% cheaper |
| #28 |
GPT-5.5
OpenAI
|
$2.605000 (rounded ~ $2.61) | ↓ 83.3% cheaper |
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
Gemini 2.5 Pro Google
GPT-5.6 Sol OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.1 Pro Google
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
GPT-5.5 OpenAI
Deploying GPT-5.4 Pro for Enterprise Document Analysis
For organizations managing high-stakes document summarization at scale, GPT-5.4 Pro stands out as a top-tier choice for professional-grade reasoning. When processing 800K-token inputs, the primary challenge is not just memory, but maintaining factual accuracy and context alignment across the entire document set. GPT-5.4 Pro is specifically optimized for these dense, multi-page analytical workflows, often outperforming smaller models by reducing hallucination rates and maintaining a tighter grasp on source material.
Why GPT-5.4 Pro for 800K-Token Pipelines:
- Unified Reasoning & Analysis: Unlike systems that require complex chaining to handle massive documents, GPT-5.4 Pro’s architecture is designed to ingest and synthesize large, technical corpora in a single pass. This significantly simplifies the engineering architecture required to support deep research and compliance review.
- Agentic Reliability: If your summarization pipeline is part of a larger agentic system, GPT-5.4 Pro’s advanced tool-calling and computer-use capabilities allow it to perform secondary operational tasks, such as saving results to specific file formats or updating database entries, without needing additional orchestration layers.
- Precision at Scale: The model’s ability to follow complex, multi-part instructions makes it ideal for domain-specific tasks where the output must adhere to strict regulatory or internal formatting requirements.
Choosing this model is appropriate when the quality of the extraction and the depth of the insight are the primary KPIs, and when your infrastructure needs a reliable, all-in-one intelligence layer to handle diverse and lengthy professional documents.