A new analysis from Artificial Analysis reveals that comparing Large Language Models (LLMs) solely by their price per token is misleading. The actual cost per task can vary significantly due to factors like effort settings, caching, and promotional pricing. For instance, Claude Sonnet 5.5 and GPT-6.1 Sol have the same token price, but GPT-6.1 Sol is nearly three times cheaper per task. Similarly, higher effort settings can dramatically increase costs for models like Claude Opus 5.5, sometimes without a proportional increase in performance. AI
IMPACT Shifts focus from token price to task cost, influencing how developers and businesses evaluate and select LLMs for efficiency.
RANK_REASON The item is an opinion piece analyzing LLM pricing models and providing a new framework for cost evaluation, rather than announcing a new product or research finding.
- Artificial Analysis
- Claude Opus 5.5
- Claude Sonnet 5.5
- Gemini 3.6 Flash
- Gemini 3.8 Flash
- Gemini 4 Argon
- GPT-5.6 Luna
- GPT-6.1 Sol
- Humanity's Last Exam
- Mistral Large 4
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