Don't know which model to choose? *taps the graph*

YouTube Shorts · YouTube

• Uses the DeepSWE Benchmark (deepswe.datacurve.ai) to compare models — explicitly names Claude Sonnet 5, Claude Fable, and GPT 5.6 Sol — across different effort/reasoning levels.
• Framing device (“taps the graph”): a cost-to-performance chart as the practical decision tool, rather than qualitative impressions of which model “feels” better.
• Emphasises effort level as a second axis in the cost/performance tradeoff — the same model at different effort settings lands in different places on the graph.
• Takeaway: pick models empirically off a cost-to-performance benchmark, and treat effort level as a tunable dimension alongside model choice.