English(EN) We tested closed and open models by asking them to build small, playable games.

开源模型在游戏生成成本和速度方面优于闭源模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-16 19:47

最近一项对AI模型的比较显示，在生成可玩游戏方面，开源模型在成本和速度上具有显著优势。虽然像Opus 4.8和GPT-5.5这样的闭源模型成本更高，但像MiniMax M3和Nemotron Ultra这样的开源模型以更低的价格和更短的推理时间提供了相当的质量。这表明由于其改进的代币经济学和更快的性能，开源模型正日益成为一种趋势。 AI

影响开源模型在质量方面正变得越来越有竞争力，并且在推理方面显著更便宜、更快，有可能加速采用。

排序理由该集群比较了各种AI模型在特定任务上的性能和成本，提出了可能为未来模型选择和开发提供信息的研究结果。[lever_c_demoted from research: ic=1 ai=1.0]

在 X — Together (inference / OSS) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

报道来源 [1]

X — Together (inference / OSS) TIER_1 English(EN) · togethercompute · 2026-06-16 19:47

We tested closed and open models by asking them to build small, playable games.

We tested closed and open models by asking them to build small, playable games. Open models were much cheaper and faster, while producing games that were often close in quality. → Opus 4.8 was 15x more expensive than MiniMax M3 → GPT-5.5 was 10x more expensive than Nemotron

报道来源 [1]

We tested closed and open models by asking them to build small, playable games.

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