GPT-5.6 Sol Offers Great Research Experience
karinanguyen · x · 2026-07-19
The author tested the newly released GPT-5.6 Sol and gave it a highly positive overall review.
Their most notable takeaway is that the model is much more robust and "holds up to scrutiny" in research scenarios. It often keeps up with task progression without needing repeated explanations of background or intent. The author specifically notes that this improvement is most apparent in research-oriented work.
The accompanying image mentions DiligenceBench: it uses 150 realistic equity research tasks covering 143 US public companies to evaluate whether a model/agent can complete an entire workflow—like finding documents, extracting numbers, cross-referencing sources, distinguishing facts from assumptions, and forming investment judgments—just like a human analyst. In other words, it doesn't test simple Q&A, but the working capability of a research-oriented agent.
More from Models
- GPT-6 Astra beats Factorio with enemies in 44 in-game hours at ~$4,500 API cost — liminal_bardo · 2026-09-11
- giffmana: the env being used in training is part of the point — giffmana · 2026-09-11
- awesome-llm-leaderboards: an open-source directory of LLM leaderboards, pricing tables, comparison tools — Last_Establishment_1 · 2026-09-11
- Anthropic claims it works to keep eval environments unidentifiable to models — MaxKannen · 2026-09-11
- Nex N2.5 Pro released on Hugging Face with 407GB of weights — jinnyjuice · 2026-09-11
- RoMa v2 image matching model unveiled in the usual black poster — ducha_aiki · 2026-09-11