Sakana AI announced Fugu Max on September 11, 2026, positioning it as a cost-performance orchestration model that routes each task to the leanest model in a swappable pool of open-weights and specialized models, including NVIDIA's Nemotron family. The release frames Fugu Max and Fugu Ultra v2 as the same orchestration Fugu Max is priced at $2 per million input tokens and $6 per million output tokens, with Sakana claiming this runs 40 to 60 percent below comparable output pricing for Sonnet 5, GPT 5.6 Terra, and Kimi K3. The release also reports that Fugu Max claims the best overall score on six self-reported benchmarks (Terminal Ben

DataNorth reported on September 11, 2026, that Sakana AI released Fugu Max and Fugu Ultra v2, with Fugu Max priced at $2 per million input tokens and $6 per million output tokens, which Sakana claims undercuts Sonnet 5 and Kimi K3 by 40 to 60 percent on output. Both models run as hosted APIs only and are not available The report provides a side-by-side specification table: Fugu Max has a 1M token context window, 128K maximum output, $0.25 cached input per million tokens, flat pricing regardless of context length, and no long-context surcharge. Fugu Max widens the pool with open-weight and specialist models including NVIDIA's Nemotro

The There's An AI For That directory describes Fugu Max as the cost-optimized member of Sakana AI's second-generation Fugu family of orchestration models, announced September 10, 2026. It positions Fugu Max as a learned orchestrator that routes each incoming task to the leanest model in a pool of open-weights and speci The listing reports pricing at $2 per million input tokens and $6 per million output tokens, 40-60 percent below comparable models, and claims the best overall score on six benchmarks (Terminal Bench 2.1, GPQA Diamond, AA-LCR, GDP.pdf, AutomationBench, and SWEFish). Fugu Max is accessible via an OpenAI-compatible API t

AI Weekly reported on September 11, 2026, that Sakana AI shipped Fugu Max, an orchestration engine priced at $2 per million input tokens and $6 per million output tokens that routes each request to what Sakana calls the leanest model capable of solving them. The pricing runs 40 to 60 percent below the output cost of So The report notes that Fugu Max claims the best overall score on six self-reported benchmarks including Terminal Bench 2.1, GPQAD, AA-LCR, GDP.pdf, AutomationBench, and SWEFish, with no third-party evaluation cited. Sakana paired the launch with Fugu Ultra v2, a higher-capability variant built on the same routing archit

OpenRouter's model directory lists Sakana: Fugu Max as a distinct entry with 1M token context, $2 per million input tokens and $6 per million output tokens, dated September 11, 2026. The listing describes Fugu Max as the cost-performance model in Sakana AI's Fugu family, a learned multi-agent orchestration system that The directory entry confirms that Fugu Max supports configurable reasoning effort (high, xhigh, max), function calling, structured outputs, image and PDF input, and built-in web search and web fetch. Orchestration tokens consumed by the system are billed as standard input/output tokens. While OpenRouter is a serving ga