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💡Claude Fable 5 Outperforms GPT-5.6 Sol in Optimization Test

Fable 5 Crushes Competition on Complex Problem

TL;DR

In a recent test, Claude Fable 5 outperformed GPT-5.6 Sol in solving an NP-hard optimization problem. The /goal mode significantly improved results for Fable 5 but had mixed effects on others.

Claude Fable 5 has emerged as the clear winner in a head-to-head test against GPT-5.6 Sol, tackling an intricate fiber-network design challenge. This isn't just about raw performance; it's about how /goal mode can drastically alter outcomes for different models. For instance, Fable 5 saw its best clean score at 31,934 points, while Sol lagged behind with a mean difference of nearly 2k points. The experiment highlights the nuanced impact of goal-directed strategies in AI optimization tasks.

Claude Fable 5 Outperforms GPT-5.6 Sol in Optimization Test — charlesazam.com

Key Points

1

Fable 5 achieved a clean score of 31,934 points compared to GPT-5.6 Sol's mean difference of nearly 2k points.

2

/Goal mode significantly improved Fable 5's performance but had mixed results for other models in the test.

3

The optimization problem KIRO involves designing fiber networks with loops and short branches connecting distribution hubs and terminals.

4

Each model was tested under two conditions: plain and /goal modes, each running for a 30-minute budget.

5

Paris alone provides a lower bound of 11^532 possible assignments for the terminals to distribution hubs.

Why It Matters

If you're working on complex optimization problems like fiber network design, Fable 5's performance and /goal mode could be game-changing. However, it's crucial to understand that this mode can amplify both good and bad decisions made by the agent.

Claude Fable 7GPT-5.6 SolNP-hard optimization problem/goal mode

Frequently Asked Questions

Why does this matter?

If you're working on complex optimization problems like fiber network design, Fable 5's performance and /goal mode could be game-changing. However, it's crucial to understand that this mode can amplify both good and bad decisions made by the agent.

What happened?

In a recent test, Claude Fable 5 outperformed GPT-5.6 Sol in solving an NP-hard optimization problem. The /goal mode significantly improved results for Fable 5 but had mixed effects on others.

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