Sakana Fugu
sakana.ai
Sakana Fugu
1–10 of 141 posts
Re: Sakana Fugu
#2Very interesting. I wonder if its kinda functions similarly to how OpenRouter's fusion API does. Hopefully isn't too long to respond.
Re: Sakana Fugu
#3So basically... openrouter?
Re: Sakana Fugu
#4So basically... openrouter?
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Re: Sakana Fugu
#5I’ve also developed and open-sourced Mythos level model using fusion/synthesis on TrustedRouter
Re: Sakana Fugu
#6Very interesting. I wonder if its kinda functions similarly to how OpenRouter's fusion API does. Hopefully isn't too long to respond.
From a brief reading of what Fusion does:
https://openrouter.ai/docs/guides/features/plugins/fusion
Looks like Fusion calls a bunch of models and then uses an LLM to synthesize the results, and pass to another model for final output.
Fugu looks like it's doing something different? Using an LLM earlier on in the flow as an orchestrator to decide which other LLMs to call. More coordinator than simply synthesizing results, and more "agentic".
It's interesting because it's all exposed behind a single OpenAI compatible endpoint (Responses API?) and so then presumably someone could use this for one of their single agents. Now you have agent-of-agents, nested in some sense. The token usage increases accordingly!
Re: Sakana Fugu
#7Reminds me of https://github.com/irthomasthomas/llm-consortium>
Re: Sakana Fugu
#8Very interesting. I wonder if its kinda functions similarly to how OpenRouter's fusion API does. Hopefully isn't too long to respond.
Yea similar, possibly even more steps / slower. I put together an all open source fusion at 1/3 of price of Fable: https://trustedrouter.com/blog/open-fusion-beats-fable-5
We open sourced it all
and will be releasing a similar orchestrator next week on TrustedRouter
Re: Sakana Fugu
#9> Frontier-level performance without single-vendor dependency. [...] Plug collective intelligence directly into your workflows today with a single API.
Does multiple vendors run this "single API" or how is this not replacing a single-vendor dependency for another single-vendor dependency?
Re: Sakana Fugu
#10Reminds me of https://github.com/irthomasthomas/llm-consortium >
Fugu Ultra https://console.sakana.ai/models#fugu-ultra> sounds similar to GPT-5.5 Pro or Gemini 3.1 Deep Think .
Is there any official source that could confirms if Fable (or Mythos) is parallelized test-time compute (like GPT 5.5 Pro) or sparse Mixture-of-Experts (MoE) transformer combined with a multi-agent, inference-time compute scaling architecture (Gemini 3.1 Deep Think)?