The information provided by ModelFinder ("we," "us," or "our") on www.modelfinderapp.com is for general informational and educational purposes only. All information on this site is provided in good faith; however, we make no representation or warranty of any kind, express or implied, regarding the accuracy, adequacy, validity, reliability, availability, or completeness of any information on the site.
No Professional Advice
The content published on ModelFinder — including model comparisons, benchmark interpretations, pricing estimates, cost calculators, and use-case recommendations — does not constitute professional technical, engineering, financial, legal, or business advice. You should not rely on ModelFinder recommendations as a substitute for professional consultation tailored to your specific project requirements, infrastructure, data privacy obligations, or budget constraints.
Always conduct your own due diligence and, where appropriate, consult with qualified engineers, architects, or legal professionals before making production-level AI infrastructure decisions.
No Affiliation with AI Providers
ModelFinder is an independent, unaffiliated platform. We have no formal relationship with — and are not sponsored, endorsed, or authorised by — any of the AI companies whose products appear in our database. This includes but is not limited to:
- OpenAI (GPT series, o-series models)
- Anthropic (Claude series)
- Google DeepMind (Gemini series)
- Meta AI (Llama series)
- xAI (Grok series)
- DeepSeek (DeepSeek-V series, DeepSeek-R series)
- Moonshot AI (Kimi series)
- Black Forest Labs (Flux series)
- Midjourney Inc. (Midjourney series)
- Mistral AI (Mistral and Mixtral series)
- Microsoft (Phi series)
- Z.ai / Zhipu AI (GLM series)
All product names, logos, and brands referenced are the property of their respective owners. Use of these names does not imply any affiliation or endorsement.
Pricing and Technical Accuracy
The artificial intelligence industry moves exceptionally fast. Model pricing, API availability, context window sizes, capability benchmarks, and licensing terms are subject to change at any time without notice by the respective providers. While we make every effort to keep our database current:
- Pricing figures displayed are indicative estimates at the time of publication.
- Benchmark scores are sourced from publicly available evaluations and may not reflect the latest model versions.
- Context window sizes may vary depending on model tier, API plan, or deployment configuration.
- Free/open-source availability is subject to license changes by model creators.
Always verify the latest technical specifications and pricing directly on the official developer portals of each AI provider before making commercial or production decisions.
Advertising Disclaimer
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We do not accept direct paid placements, sponsored model rankings, or affiliate kickbacks from AI providers. Our model rankings and recommendations are never influenced by commercial relationships. If this policy changes in the future, it will be clearly disclosed.
External Links Disclaimer
ModelFinder may contain links to external websites, research papers, provider documentation, and third-party tools that are not owned or operated by us. These links are provided as a convenience and for informational purposes only. We have no control over the nature, content, and availability of those sites and do not accept responsibility for the content, privacy policies, or practices of any linked sites.
Benchmark and Performance Data
Performance benchmarks cited on ModelFinder (including but not limited to MMLU, HumanEval, SWE-bench, MATH-500, GPQA, and other evaluations) are drawn from publicly available academic papers, leaderboard repositories, and provider announcements. These benchmarks measure performance under specific, controlled conditions that may not reflect real-world performance for your specific use case.
Benchmark results can be gamed, cherry-picked, or evaluated on non-representative test sets. We recommend treating benchmark scores as directional signals rather than absolute performance guarantees.
Limitation of Liability
Under no circumstances shall ModelFinder or its operators be liable for any direct, indirect, incidental, special, or consequential damages arising from your use of, or inability to use, the information on this site — including but not limited to production outages, financial losses, data breaches, or poor model selection decisions made based on content found here.
Changes to This Disclaimer
We reserve the right to update or amend this Disclaimer at any time. Any changes will be posted on this page with an updated effective date. Continued use of ModelFinder after any changes constitutes your acceptance of the revised Disclaimer.
Contact Us
If you have questions, corrections, or concerns about any information published on ModelFinder, we welcome feedback through our Contact Us page. We take accuracy seriously and will review all factual challenges within 5 business days.