Legal & Compliance

AI Model Data Disclaimer

Terms governing AI model specifications, benchmark scores, and pricing accuracy

Last Updated: July 2026

1. Informational Purpose Only

All technical specifications, benchmarks, performance metrics, hardware recommendations, and pricing data published on this website are provided strictly for general informational and educational purposes.

While we make every effort to verify and periodically update our datasets against official documentation, AI technologies evolve rapidly. We recommend independently verifying details with official providers before deploying production systems or making financial commitments.

2. Pricing Variability & Currency

Token pricing (input, output, cached, and batch rates) is sourced from official public provider rate cards at the indicated verification date.

Providers may modify pricing, rate limits, tier discounts, context caching rules, and billing minimums without prior notice. Real-world billing may include local taxes, egress fees, or infrastructure surcharges depending on your cloud region.

3. Benchmark Score Methodology

Benchmark results (such as SWE-bench, LiveCodeBench, AIME, GPQA, and BFCL) are heavily dependent on prompt engineering, few-shot samples, test harness timeouts, reasoning token budgets, and evaluation versions.

Scores should not be interpreted as absolute guarantees of real-world application performance. We explicitly document evaluation methodology notes and caution against comparing scores across differing evaluation setups.

4. Trademark & Provider Independence

All product names, logos, model names, and trademarks (such as Claude, ChatGPT, GPT-4o, OpenAI o1, Gemini, DeepSeek, Llama, Qwen, Mistral, etc.) are property of their respective owners.

Reference to these trademarks does not imply any official endorsement, sponsorship, or affiliation with Lobhari Technologies unless explicitly stated.

5. Limitation of Liability

Lobhari Technologies shall not be liable for any direct, indirect, incidental, or consequential damages resulting from decisions made based on the model information, benchmarks, or token calculators provided on this site.

Questions or Data Corrections?

If you notice any outdated benchmark scores or pricing discrepancies, please submit a data correction inquiry at contact@lobhari.in.