IBM CEO says open-weight models now hit about 90% of frontier performance
10/27/2026 — 10/28, 12:18·2 sources (all)·2 reports (all)
Key takeaways
- In IBM's Q3 earnings call, CEO Arvind Krishna said open-weight models now deliver roughly 90% of frontier closed-source performance at 10% t…
Background & analysis
On October 27, 2026, Solidot reported remarks by IBM CEO Arvind Krishna on the state of open-weight models. Krishna described how the picture has changed: back in 2024, closed-source frontier models were clearly ahead, scoring roughly 70 on benchmark tests while open-weight models managed only 20 to 30; by late 2025, the gap had narrowed to 70 versus 50. He went on to say that open-weight models today cost only 10% to 25% as much per token as frontier models, while delivering around 90% of their effectiveness. On that basis he argued that for any enterprise the choice is straightforward: given an option that costs 10% of the leading offering while performing at 90% of its level, most companies would avoid paying the extra cost. He therefore suggested that most routine tasks can be handled by open-weight models, with only a minority of tasks handed to frontier models, and that deploying open-weight models inside enterprises carries considerable value. No benchmark data or further documentation from IBM has been made public to back these claims, and no additional reporting has appeared to date.
AI-generated from 1 reports · updated 20 hours ago
Latest turnIBM CEO Arvind Krishna said on the company's Q3 earnings call that open-weight models can reach about 90% of frontier closed-model performance at just 10% to 25% of the token cost. He argued most enterprises will choose the cheaper option.
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IBM CEO Arvind Krishna said on the company's Q3 earnings call that open-weight models can reach about 90% of frontier closed-model performance at just 10% to 25% of the token cost. He argued most enterprises will choose the cheaper option.
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IBM CEO Arvind Krishna said the gap between open-weight and frontier models has narrowed from 70-versus-20-30 benchmark points to 70-versus-50, Solidot reported. He put open-weight token costs at 10-25% of frontier models while delivering about 90% of the effectiveness, arguing most routine tasks can run on open models.
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