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Open AI Models Outperform Closed Models in Game Generation Cost and Speed

A recent comparison of AI models revealed significant cost and speed advantages for open-source models when tasked with generating playable games. While closed models like Opus 4.8 and GPT-5.5 were more expensive, open models such as MiniMax M3 and Nemotron Ultra offered comparable quality at a fraction of the price and inference time. This suggests a growing trend towards open models due to their improved tokenomics and faster performance. AI

IMPACT Open models are becoming increasingly competitive in terms of quality and significantly cheaper and faster for inference, potentially accelerating adoption.

RANK_REASON The cluster compares the performance and cost of various AI models on a specific task, presenting findings that could inform future model selection and development. [lever_c_demoted from research: ic=1 ai=1.0]

Read on X — Together (inference / OSS) →

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COVERAGE [1]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    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