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2 postsAnother interesting experiment by @atomic_chat_hq (a desktop app that runs LLMs locally). Muse Spark 1.1 rendered 3D arcade games that play themselves for $0.026, significantly lower than Gemini 3.6 Flash. Both models got one brief, 3 tabletop games that run themselves with no player input. The code had to drive every shot, since nobody touches the controls. Muse Spark 1.1 spent 31.3K tokens and finished the full set for $0.026. Gemini 3.6 came in leaner on tokens at 28.8K, yet its run cost $0.073. For this kind of 3D arcade games, the real-time physics, a scattering rack or a bouncing puck, all these are genuinely hard to get right.
Meta's Muse Spark 1.1 beat Gemini 3.6 at making 3D arcade games for 3x cheaper! We gave two models the same task: build three 3D tabletop games that play themselves Prompts: - An 8-ball pool break scattering the rack - An air hockey rally that ends in a goal - A foosball table where the rods play the ball Outputs: Muse Spark 1.1: 31.3K tokens, $0.026 Gemini 3.6: 28.8K tokens, $0.073 Muse Spark played all three tables clean with far more detail than Gemini, which barely rendered its backgrounds. Its air hockey glitched and its foosball lagged into a buggy still picture. Muse Spark 1.1 ran the full set perfectly for 3x less
Meta's Muse Spark 1.1 beat Gemini 3.6 at making 3D arcade games for 3x cheaper! We gave two models the same task: build three 3D tabletop games that play themselves Prompts: - An 8-ball pool break scattering the rack - An air hockey rally that ends in a goal - A foosball table where the rods play the ball Outputs: Muse Spark 1.1: 31.3K tokens, $0.026 Gemini 3.6: 28.8K tokens, $0.073 Muse Spark played all three tables clean with far more detail than Gemini, which barely rendered its backgrounds. Its air hockey glitched and its foosball lagged into a buggy still picture. Muse Spark 1.1 ran the full set perfectly for 3x less
1/ muse spark 1.1 is an industry-competitive agentic and coding model. across many agentic evals it rivals gpt-5.5 and opus-4.8. available now through the new meta model api and in meta ai. 🧵
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