Fish Audio's open-weight Drama 3 tops a pronunciation benchmark at 93.2% under a $500,000 revenue cap

Three billion active parameters out of 35 billion is 8.6% of the total ^[9]. That ratio sets compute per token. It does not set memory. A mixture-of-experts router can send any token to any expert, so we'd expect all 35 billion parameters to be loaded even though only a slice runs on each token ^[2].

The two-card result comes from one commenter on r/TextToSpeech, who got the weights running on two used RTX 3090s ^[15]. According to the dev.to write-up, he watched the setup log write custom GPU kernels the install needed to boot, and he admits he understands none of that code ^[16]. Kernels written at install time are a build step, and build steps tend to differ between machines. His verdict on the release: "After getting banned on Eleven Labs three times, I'm so happy something like this is finally open weight." ^[17]

Against the old S2.1 Pro at 88.1% ^[4], the 93.2% score is a gain of 5.1 points ^[10]. The exact-sequence gain is 6.9 points ^[11], and that score still sits 13.7 points below 100 ^[12]. For the figure to transfer, your scripts would have to look like what that sub-score measures: exact strings such as file paths and email addresses. The write-up's author also points out that the benchmark tests only pronunciation, not whether emotion sounds real ^[8].

The author is explicit that the Fish Audio Community License v1.0 is not open source ^[6]. The post paraphrases the license, so the definition of annual revenue has to come from the license text.