Sakana AI / sakana/fugu-max
Fugu Max - access through LLMTR
Fugu Max is Sakana AI's OpenAI-compatible multi-agent model. It uses the same agent approach as Fugu Ultra but draws mainly on open-weights models such as the NVIDIA Nemotron family, assembling an agent team suited to each task's price point. Input and output prices are flat and independent of context length, so a long prompt never moves the row into a more expensive band. For coding, research, and analysis work it is markedly cheaper than Fugu Ultra.
Technical specifications
| Canonical ID | sakana/fugu-max |
|---|---|
| Provider | Sakana AI |
| Context window | 1,000,000 tokens |
| Operations | CHAT_COMPLETIONS, RESPONSES |
| Modalities | text, image |
Pricing
An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| CHAT_COMPLETIONS | INPUT_TEXT | PER_1M_TOKENS | $2.00 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.250000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $6.00 |
| RESPONSES | INPUT_TEXT | PER_1M_TOKENS | $2.00 |
| RESPONSES | CACHE_READ | PER_1M_TOKENS | $0.250000 |
| RESPONSES | OUTPUT_TEXT | PER_1M_TOKENS | $6.00 |
Example usage
With existing OpenAI SDK flows, change only the base URL and model identifier.
curl https://llmtr.com/v1/chat/completions -H "Authorization: Bearer llmtr-your_key" -H "Content-Type: application/json" -d '{"model":"sakana/fugu-max","messages":[{"role":"user","content":"Hello"}]}'
Guides about this model
- What Is Sakana Fugu Max? Multi-Agent Orchestration Explained - What multi-agent orchestration actually means, which workloads Fugu Max suits, and a capability list verified by measurement rather than taken from the announcement.
- Sakana Fugu Max Pricing: Orchestration Tokens and Real Cost - The Fugu Max rate card, how orchestration token accounting actually works, and a worked example comparing the same request on Fugu Max and Fugu Ultra.
- How to Use the Sakana Fugu Max API Through LLMTR - The steps for calling Fugu Max while keeping your OpenAI-compatible client: supported reasoning levels, function calling, and how to read the usage block.
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