elvis(@omarsar0):Interesting results here. This is why I expect more agent workloads to run on blended models. Pareto 26.9 from @TheUnbiasedCo sends requests to several frontier and open models and keeps the best answer. In the new eval of 30 agent tasks, Pareto tied GPT-6 Astra for first place at about 1/3 the cost per successful task. It also finished tasks faster than DeepSeek V4 Pro and GLM 5.3 Flash.

2026.09.24 19:05

Interesting results here. This is why I expect more agent workloads to run on blended models. Pareto 26.9 from @TheUnbiasedCo sends requests to several frontier and open models and keeps the best answer. In the new eval of 30 agent tasks, Pareto tied GPT-6 Astra for first place at about 1/3 the cost per successful task. It also finished tasks faster than DeepSeek V4 Pro and GLM 5.3 Flash.

Composio@composio

2026.09.24 14:06

We tested 6 AI models on 30 challenging agent tasks: GPT-6 Astra, Opus 5.5, GPT-6 Sol, Pareto 26.9, DeepSeek V4 Pro, and GLM 5.3 Flash. Sol matched Opus’s score, finished faster, and cost about a quarter as much per successful task. Here’s how all 6 models compared 🧵🧵🧵