GoKawiilClaude Fable 5.2 tops Artificial Analysis Intelligence Index with score of 65
Claude Fable 5.2 (Max, Default Fallback) achieved a score of 65 on the Artificial Analysis Intelligence Index, well above the comparable median of 40. The model supports text and image input with text output and a 1M token context window, but testing showed it used 275M tokens versus a 72.8M median, took 45 minutes per task against a 12.9 minute median, and cost $26.54 per task to evaluate. Input pricing is $8.00 per 1M tokens and output pricing is $40.00 per 1M tokens, both well above typical rates.
GoKawiil's interpretation of the reporting above, not reported fact.
The results suggest a tradeoff where higher intelligence scores come paired with substantially higher cost, slower response times, and heavier token usage, which could limit practical deployment for latency- or budget-sensitive applications. Buyers evaluating frontier models may need to weigh raw capability against operational expense, as this benchmark indicates Claude Fable 5.2 sits at an extreme on both ends of that tradeoff compared to peers.
- Claude Fable 5.2 scored 65 on the Artificial Analysis Intelligence Index, above the median of 40 for comparable models.
- It is markedly more expensive ($8/$40 per 1M input/output tokens) and slower (45 minutes per task) than typical peers.
- The model is highly verbose, generating 275M tokens during evaluation versus a 72.8M token median.
Source: artificialanalysis.ai, 2026-11-09
Published there as: “Claude Fable 5.2 Scores 65 on Artificial Analysis, Highest So Far”
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