Yahoo Finance / Forkast News reports that on September 11, 2026, Sakana AI launched Fugu Max v1.0 and Fugu Ultra v2.0, framing both as orchestration engines rather than monolithic models built on learned model coordination from ICLR 2026 papers TRINITY and Conductor. Fugu Max is priced at $2 per million input tokens an On benchmarks, the piece reports Fugu Max achieves the best overall score on six evaluations (Terminal Bench 2.1, GPQAD, AA-LCR, GDP.pdf, AutomationBench, SWEFish), while Fugu Ultra achieves best or joint-best on five of eight benchmarks including GDP.pdf, Chartography, DeepSWE, Toolathon, and SWEFish. The article argu

The Unwind AI newsletter for September 11, 2026 covers OpenAI's Codex harness becoming an Agents API, then shifts to Sakana AI's launch of Fugu Max and Fugu Ultra v2 as orchestration models that route work across a swappable pool of open and specialized models. It states Fugu Max approaches elite-model performance at 2 The newsletter also covers Edge0 running a 35B sparse mixture-of-experts model on Apple Silicon by streaming weights from SSD, achieving 14.9-17.7 tokens per second on an M4 Pro Mac mini with about 2.9 GB of active memory from a 23 GB on-disk footprint, and DeepSeek's V4.1-Flash, the smallest model in a new architectur

DataNorth reports that Sakana AI released Fugu Max and Fugu Ultra v2 on September 11, 2026, framing both as orchestration systems rather than single models: a model trained to hand each task to other models and stitch the answers back together. Fugu Max is positioned at $2 per million input tokens and $6 per million ou For Fugu Ultra v2 specifically, DataNorth's comparison table lists input at $5 per million tokens, output at $30 per million tokens, cached input not published for v2, a 1M-token context window, 128K maximum output, and a long-context surcharge above 272,000 tokens. The piece stresses the strategic pitch: because the a

There's An AI For That (TAAFT) documents Fugu Ultra v2 as the capability-focused member of Sakana AI's second-generation Fugu family, released alongside the cost-optimized Fugu Max and announced September 10, 2026. The directory entry describes it as a learned orchestrator built on Sakana's ICLR 2026 TRINITY and Conduc On benchmarks, the entry reports Fugu Ultra v2 achieves the best or joint-best score on five of eight benchmarks tested, including a Chartography score of 48.3 versus 27.3-29.5 for competing models and a DeepSWE score of 74.3, placing in the top two on seven of eight benchmarks overall. The model's agent pool deliberat

AI Weekly's alert reports that Sakana AI shipped Fugu Max on September 11, 2026, priced at $2 per million input tokens and $6 per million output tokens, which the company claims runs 40-60% below the output cost of Sonnet 5, GPT 5.6 Terra, and Kimi K3. The system routes each task across a swappable pool of open-weight On Fugu Ultra v2 specifically, the piece pairs it with Fugu Max as a higher-capability variant on the same routing architecture, quoting 48.3 on Chartography against Opus 5's 27.3 and 74.3 on DeepSWE. Sakana frames Ultra v2 as "What is the absolute highest capability we can achieve on complex, multi-step tasks?" versus

OpenRouter's models catalog lists "Sakana: Fugu Ultra v2" as the higher-performance member of Sakana AI's Fugu family, described as a language model trained to route tasks across a fixed pool of open and specialized models and to recursively call instances of itself. The entry specifies a 1M-token context window, $5 pe Per the OpenRouter description, Fugu Ultra v2 prioritizes answer quality on complex multi-step reasoning, autonomous research, and full-stack software development, and explicitly does not rely on individual proprietary frontier models in its pool. It supports configurable reasoning effort (high, xhigh, max), function c