{"slug": "claude-fable-5-costs-6k-just-to-benchmark-highlighting-the-soaring-price-of-ai", "title": "Claude Fable 5 costs $6K just to benchmark, highlighting the soaring price of frontier AI", "summary": "Anthropic's Claude Fable 5 model cost $6,227.74 to benchmark on the Artificial Analysis Intelligence Index, consuming 87 million output tokens at $50 per million. The model scored 64.9, topping the index and surpassing OpenAI's GPT-5.5, highlighting the soaring costs of frontier AI evaluation.", "body_md": "# Claude Fable 5 costs $6K just to benchmark, highlighting the soaring price of frontier AI\n\nAnthropic's new flagship reasoning model tops the Artificial Analysis Intelligence Index but burns through 87 million output tokens in the process\n\nRunning a benchmark suite on Anthropic’s newest AI model now costs roughly what a used Honda Civic does. Claude Fable 5, the company’s latest flagship reasoning model, racked up a bill of $6,227.74 just to complete the Artificial Analysis Intelligence Index evaluations.\n\nThe model launched on June 9, 2026, and immediately claimed the top spot on the Intelligence Index with a score of 64.9. That dethroned its predecessor, Claude Opus 4.8, and left OpenAI’s GPT-5.5 in the rearview at 58.6.\n\n## The price of being the best\n\nClaude Fable 5 is priced at $10 per million input tokens and $50 per million output tokens. The benchmark evaluation consumed 87 million output tokens, which is why the final tab landed north of $6K.\n\nReasoning models produce far more output tokens than standard chat models because they work through problems step by step. That 87 million token output figure is a direct consequence of asking a reasoning model to grind through coding challenges, logic puzzles, and complex multi-step evaluations.\n\nAnthropic does offer a 90% discount on prompt caching for repeated input hits, but that doesn’t help much when your primary cost driver is output generation.\n\n## What you get for the money\n\nOn SWE-Bench Pro, a benchmark that tests a model’s ability to solve real-world software engineering problems, Fable 5 scored 80.3% accuracy. That’s a substantial improvement over Claude Opus 4.8’s 69.2% and ahead of GPT-5.5’s 58.6%.\n\nThe model also ships with a 1 million token context window and handles both image and text inputs.\n\n**Disclosure:** This article was edited by Editorial Team. For more information on how we create and review content, see our\n\n[Editorial Policy](https://cryptobriefing.com/editorial-policy/).", "url": "https://wpnews.pro/news/claude-fable-5-costs-6k-just-to-benchmark-highlighting-the-soaring-price-of-ai", "canonical_source": "https://cryptobriefing.com/claude-fable-5-benchmark-cost/", "published_at": "2026-06-17 23:23:40+00:00", "updated_at": "2026-06-17 23:54:28.550518+00:00", "lang": "en", "topics": ["large-language-models", "ai-research", "ai-products"], "entities": ["Anthropic", "Claude Fable 5", "Artificial Analysis Intelligence Index", "Claude Opus 4.8", "OpenAI", "GPT-5.5", "SWE-Bench Pro"], "alternates": {"html": "https://wpnews.pro/news/claude-fable-5-costs-6k-just-to-benchmark-highlighting-the-soaring-price-of-ai", "markdown": "https://wpnews.pro/news/claude-fable-5-costs-6k-just-to-benchmark-highlighting-the-soaring-price-of-ai.md", "text": "https://wpnews.pro/news/claude-fable-5-costs-6k-just-to-benchmark-highlighting-the-soaring-price-of-ai.txt", "jsonld": "https://wpnews.pro/news/claude-fable-5-costs-6k-just-to-benchmark-highlighting-the-soaring-price-of-ai.jsonld"}}