aiprompt.fyi
Student

LNG Trader's Charter Clause Prompt — V-Index 1.8 → 9.3

A demurrage clause that would have cost the desk $2.1M, fixed in 40 seconds.

V-Index Transformation
Before
1.8
+7.5
Delta
After
9.3
Original prompt · V-Index 1.8

Draft a demurrage clause for an LNG charter from Qatar to Rotterdam. Standard terms.

Audited rewrite · V-Index 9.3

Draft a demurrage clause for a Q-Flex LNG charter, FOB Ras Laffan to CIF Rotterdam-Gate, governed by English law, BIMCO LNGVOY 2024 base. Laytime 36 hrs SHINC each end, demurrage USD 145,000/day pro rata, half-rate dispatch, force-majeure carve-outs limited to government order or named-storm. Output the clause only. No preamble.

Auditor's diagnosis

Saying 'standard terms' to an LLM is the most expensive phrase in commodities trading. The model invents BIMCO numbers that look real. Naming the form (LNGVOY 2024), the law, and the rate fields collapses ambiguity — DeepSeek V3.2 actually outperforms GPT-5 here at 1/15th the cost.

Live audit of the rewrite
Audit Ready · scroll for full report

Audit Report

Ref · 2026-08-05
Best Value · Winning Model
DeepSeek V3.2
V-Index
28.93
DeepSeek · 83 tokens · $0.000023 on this prompt
Best V-Index
28.93
DeepSeek V3.2 · DeepSeek
Detected Task · Tokens
general
83 tokens · $0.000023 on best value
CO₂ · This Prompt
74.7 mg
On DeepSeek V3.2 · est. grams of CO₂
Hallucination Risk
Moderate
On DeepSeek V3.2 for this task

Leading LLMs · This Prompt

8 compared
  • DeepSeek V3.2Best Value
    DeepSeek
    V-Index
    28.93
    Cost
    $0.000023
    CO₂
    74.7 mg
    Quality
    8.1
    Accuracy
    Medium
  • Qwen 3 Max
    Alibaba
    V-Index
    20.50
    Cost
    $0.000033
    CO₂
    124.5 mg
    Quality
    8.2
    Accuracy
    Medium
  • Llama 4 Maverick
    Meta
    V-Index
    16.60
    Cost
    $0.000041
    CO₂
    99.6 mg
    Quality
    8.3
    Accuracy
    High
  • Gemini 3 Ultra
    Google
    V-Index
    5.93
    Cost
    $0.000124
    CO₂
    315.4 mg
    Quality
    8.9
    Accuracy
    High
  • Mistral Large 3
    Mistral
    V-Index
    4.72
    Cost
    $0.000149
    CO₂
    290.5 mg
    Quality
    8.5
    Accuracy
    High
  • Grok 4.20
    xAI
    V-Index
    4.20
    Cost
    $0.000166
    CO₂
    332.0 mg
    Quality
    8.4
    Accuracy
    Medium
  • GPT-5
    OpenAI
    V-Index
    3.68
    Cost
    $0.000208
    CO₂
    373.5 mg
    Quality
    9.2
    Accuracy
    High
  • Claude 4.6
    Anthropic
    V-Index
    3.13
    Cost
    $0.000249
    CO₂
    431.6 mg
    Quality
    9.4
    Accuracy
    High

V-Index = Quality (1–10) ÷ $/1M tokens · higher is better.Accuracy reflects model reliability for the detected task type. Unlock industry-specific refinements, multilingual translation, and PDF export with Pro.

Total CO₂ Footprint · This Query
Total (all models)
2.04 g
Average / model
255.2 mg
Greenest
74.7 mg
DeepSeek V3.2
Heaviest
431.6 mg
Claude 4.6

Switching from Claude 4.6 to DeepSeek V3.2 on this prompt cuts 356.9 mg of CO₂ (83% reduction). Estimates based on model size and disclosed energy mix.

Summary. For this general prompt (83 tokens), DeepSeek V3.2 wins on value with a V-Index of 28.93. Quality leader: Claude 4.6. Cheapest viable: DeepSeek V3.2.

The Full Technical Audit

Unlock per-model V-Index, $/1M-token comparison, precision scoring, industry refinements, multilingual translation and downloadable PDF reports.

$9.99 / month · cancel anytime

Audit your own prompt now.

3 free audits, no signup required. Translate-to-English included for AR · HI · UR · BN · ZH.

Run a free audit

More featured audits