DeepSeek V4 Pro DeepSeek 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.001740
Output: $0.001740
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 2,000 output tokens:
- Input Cost: $0.217500 (rounded ~ $0.22)
- Output Cost: $0.001740
- Total Cost: $0.091350 (rounded ~ $0.09)
- Cost per 1K tokens: $0.000182
- Tokens per dollar: 5,495,348 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 300 tokens per second and 180ms time to first token:
- Processing Time: 28 minutes, 10.25 seconds
- Latency: 180 milliseconds to first token
- Base Throughput: 300 tokens/second
- Effective Throughput: 297 tokens/second (temperature-adjusted)
Best Use Cases
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💰 Total Cost Calculation (from Plugin)
Output: $0.022500 (rounded ~ $0.02)
Output: $0.022500 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 2,000 output tokens:
- Input Cost: $1.250000
- Output Cost: $0.022500 (rounded ~ $0.02)
- Total Cost: $0.597500 (rounded ~ $0.60)
- Cost per 1K tokens: $0.001190
- Tokens per dollar: 840,167 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: 20 minutes, 7.37 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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Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to DeepSeek V4 Pro| Rank | AI Model & Provider | Total Cost | vs DeepSeek V4 Pro | vs GPT-5.4 |
|---|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.015125 (rounded ~ $0.02) Best Value | ↓ 83.4% cheaper | ↓ 97.5% cheaper |
| 🥈 |
Nemotron 3 Super
NVIDIA
|
$0.017660 (rounded ~ $0.02) | ↓ 80.7% cheaper | ↓ 97% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.018500 (rounded ~ $0.02) | ↓ 79.7% cheaper | ↓ 96.9% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.018500 (rounded ~ $0.02) | ↓ 79.7% cheaper | ↓ 96.9% cheaper |
| #5 |
Gemini 3.8 Flash
Google
|
$0.045000 (rounded ~ $0.05) | ↓ 50.7% cheaper | ↓ 92.5% cheaper |
| #6 |
GPT-5.6 Luna
OpenAI
|
$0.060500 | ↓ 33.8% cheaper | ↓ 89.9% cheaper |
| #7 |
Gemini 3.6 Flash
Google
|
$0.090000 | ↓ 1.5% cheaper | ↓ 84.9% cheaper |
| #8 |
Gemini 3.5 Flash
Google
|
$0.090750 | ↓ 0.7% cheaper | ↓ 84.8% cheaper |
| #9 |
Claude Sonnet 5
Anthropic
|
$0.120000 | ↑ 31.4% more | ↓ 79.9% cheaper |
| #10 |
Gemini 3.1 Flash
Google
|
$0.121000 (rounded ~ $0.12) | ↑ 32.5% more | ↓ 79.7% cheaper |
| #11 |
GPT-5.6 Terra
OpenAI
|
$0.151250 (rounded ~ $0.15) | ↑ 65.6% more | ↓ 74.7% cheaper |
| #12 |
Claude Sonnet 4.6
Anthropic
|
$0.180000 | ↑ 97% more | ↓ 69.9% cheaper |
| #13 |
Claude Opus 4.7
Anthropic
|
$0.300000 | ↑ 228.4% more | ↓ 49.8% cheaper |
| #14 |
Claude Opus 5
Anthropic
|
$0.300000 | ↑ 228.4% more | ↓ 49.8% cheaper |
| #15 |
Claude Opus 4.8
Anthropic
|
$0.300000 | ↑ 228.4% more | ↓ 49.8% cheaper |
| #16 |
Claude Opus 4.6
Anthropic
|
$0.300000 | ↑ 228.4% more | ↓ 49.8% cheaper |
| #17 |
Gemini 2.5 Pro
Google
|
$0.302500 (rounded ~ $0.30) | ↑ 231.1% more | ↓ 49.4% cheaper |
| #18 |
GPT-5.6 Sol
OpenAI
|
$0.302500 (rounded ~ $0.30) | ↑ 231.1% more | ↓ 49.4% cheaper |
| #19 |
Grok 4.3
xAI
|
$0.468000 (rounded ~ $0.47) | ↑ 412.3% more | ↓ 21.7% cheaper |
| #20 |
Grok 4.20 Beta
xAI
|
$0.468000 (rounded ~ $0.47) | ↑ 412.3% more | ↓ 21.7% cheaper |
| #21 |
Gemini 3.1 Pro
Google
|
$0.478000 (rounded ~ $0.48) | ↑ 423.3% more | ↓ 20% cheaper |
| #22 |
Claude Fable 5.1
Anthropic
|
$0.543750 (rounded ~ $0.54) | ↑ 495.2% more | ↓ 9% cheaper |
| #23 |
Claude Mythos 5.1
Anthropic
|
$0.543750 (rounded ~ $0.54) | ↑ 495.2% more | ↓ 9% cheaper |
| #24 |
GPT-5.4
OpenAI
|
$0.597500 (rounded ~ $0.60) | ↑ 554.1% more | Same price |
| #25 |
GPT-5.4 Thinking
OpenAI
|
$0.597500 (rounded ~ $0.60) | ↑ 554.1% more | Same price |
| #26 |
Claude Fable 5
Anthropic
|
$0.600000 | ↑ 556.8% more | ↑ 0.4% more |
| #27 |
Claude Mythos 5
Anthropic
|
$0.600000 | ↑ 556.8% more | ↑ 0.4% more |
| #28 |
GPT-5.5
OpenAI
|
$1.195000 (rounded ~ $1.20) | ↑ 1208.2% more | ↑ 100% more |
| #29 |
GPT-6 Astra
OpenAI
|
$2.400000 | ↑ 2527.3% more | ↑ 301.7% more |
| #30 |
GPT-6 Astra
OpenAI
|
$2.400000 | ↑ 2527.3% more | ↑ 301.7% more |
Gemini 3.1 Flash Lite Google
Nemotron 3 Super NVIDIA
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-6 Astra OpenAI
GPT-6 Astra OpenAI
Legal document review involving 500K-token inputs presents a unique challenge: the model must be precise, handle dense legalese, and maintain strict logical consistency throughout the review process. The comparison between DeepSeek V4 Pro and GPT-5.4 highlights two distinct philosophies in model engineering.
DeepSeek V4 Pro is built on an efficient architecture designed for sustained performance over long contexts. Its mixture-of-experts design makes it particularly efficient for tasks that require parsing long, structured documents like contracts or regulatory filings. In legal use cases, where the goal is often to identify specific clauses or anomalies across hundreds of pages, this model’s ability to maintain focus on the internal consistency of the document is a significant asset.
GPT-5.4, by contrast, brings a robust, general-purpose reasoning foundation that excels in nuanced interpretation. When legal review tasks shift from simple extraction to higher-level synthesis—such as assessing risk or identifying subtle contradictions in multi-party agreements—GPT-5.4 often provides more comprehensive, context-aware reasoning. Its ability to navigate complex instructions with minimal prompt engineering is ideal for legal teams that need to deploy tools quickly without deep model tuning.
The decision ultimately rests on the nature of your legal workflows. If your primary task is structured extraction and large-scale document processing, DeepSeek V4 Pro offers strong technical efficiency. If your requirements lean toward advanced synthesis, risk assessment, and interpretive tasks, GPT-5.4 is the more versatile partner for your legal team’s automation needs.