Open-weight models' share of LLM Atlas price-performance frontier falls to 3%
Village's LLM Atlas, which tracks the strongest AI model at every price point, now shows open-weight models winning only 3% of budget tiers, down from 41% in June. Most of that decline followed OpenAI's GPT-6 Luna and GPT-6.1 Terra releases along with Anthropic's Claude Haiku 5.5, which reclaimed budgets previously held by DeepSeek V4 Flash and Zhipu's GLM-5.2.
GoKawiil's interpretation of the reporting above, not reported fact.
The pattern suggests open-weight models tend to win value briefly after a strong cheap release, often from DeepSeek, before closed labs respond with cheaper tiers that erase the gains, according to Village's historical tracking since 2024. This could indicate that closed developers are increasingly able to match or undercut open models on price soon after they gain traction, narrowing the window where open-weight options are the best buy.
- Open-weight models hold just 3% of price-performance budgets on Village's LLM Atlas, the lowest share measured since 2024.
- OpenAI's GPT-6 Luna, GPT-6.1 Terra and Anthropic's Claude Haiku 5.5 reclaimed most budgets previously won by DeepSeek and Zhipu models.
- Historically, open-model value peaks have been short-lived, often halving within a quarter as closed labs introduce cheaper tiers.
Source: village.dev — At Almost Every Budget, 2026-11-06
Published there as: “Closed AI models dominate the price-performance frontier”
Read the original report → The summary and analysis above are GoKawiil's own, written from reporting by the source above. Facts and quotes belong to the original publisher.