Bring your own Sakana AI key and use Sakana AI at its own API rates, with no markup. Keys and chats stay in your browser. Run Sakana AI in parallel with other models, then compare and merge the answers.
Sakana Fugu
NEWFast orchestration model routing tasks across a swappable pool of frontier LLMs - low latency, high quality. 1M context. Billed at the routed underlying model'…
1M
-
-
Jun 2026
Sakana Fugu Ultra
NEWMulti-agent conductor system routing 1-3 expert agents for complex, multi-step reasoning - maximum answer quality on hard tasks. 1M context.
1M
$5
$30
Jun 2026
Sakana Fugu
NEWFast orchestration model routing tasks across a swappable pool of frontier LLMs - low latency, high quality. 1M context. Billed at the routed underlying model'…
Sakana Fugu Ultra
NEWMulti-agent conductor system routing 1-3 expert agents for complex, multi-step reasoning - maximum answer quality on hard tasks. 1M context.
Sakana AI is a Tokyo research lab, not a general-purpose serving platform: it publishes ideas first and ships models second. If you have a Sakana AI key, Big-AGI connects to it the same way it connects to any model, billed by Sakana directly to your account with no markup added. Sakana's API sends none of the CORS headers a browser needs to call a provider directly, so Direct Connection isn't available here: requests route through the Big-AGI server instead. Your key still lives in your browser rather than in a Big-AGI database, and chats are stored locally first, with sync only if you turn it on. Big-AGI also adapts its controls to Sakana's real limits: its web-search tool doesn't support the context-size levels other vendors do, so it shows up as a clean on/off toggle instead of options that wouldn't work.
Sakana builds with evolutionary methods and model merging instead of brute-force scale, and it publishes the research behind those methods instead of keeping them proprietary. The resulting models are among the strongest available for Japanese-language work, on top of solid general capability, worth knowing given how much of the frontier optimizes for English first.
Put a Sakana model into a Beam next to Claude, GPT, and Gemini, and see how a lab built on a different set of methods actually holds up on your prompt, not just on a benchmark. Fusions can then combine, cross-check, and synthesize the parallel answers instead of just picking one. Parallel runs use more tokens than a single chat.
Your key, your data, your choice of model. Big-AGI is open source and self-hostable, so you can check exactly how Sakana AI is called.
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