Sakana AI model releases

The higher-performance tier of Sakana AI's Fugu orchestration family, released September 11 2026. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system — a language model trained to route tasks across a fixed, swappable pool of open-weight and specialized models and to recursively call instances of itself — detailed in Sakana's ICLR 2026 TRINITY (evolved LLM coordinator) and Conductor (RL-discovered natural-language coordination) papers. v2 prioritizes answer quality on complex multi-step reasoning, autonomous research, and full-stack software development, and notably does not include any proprietary frontier model in its pool: no Claude Fable 5, Fable 5.1, or GPT-6 Astra, routing instead over open-weights and specialized models including NVIDIA Nemotron via partnership, which Sakana positions as resilience against single-vendor and export-control risk. Supports configurable reasoning effort (high, xhigh, max), function calling, structured outputs, image and PDF input, and built-in web search. Pricing is $5/$30 per Mtok (cached input $0.50), with a premium tier of $10/$45/$1.00 above 272K-token context. Vendor-reported: 48.3 on Chartography (a visual reasoning / data-interpretation benchmark) versus 27.3 for Anthropic's Opus 5 and 29.5 for Fable 5 — achieved without either closed model in its pool — plus 74.3 on DeepSWE. Parameter count and context ceiling are undisclosed, the figures describe an orchestrated system rather than one set of weights, and all are unverified at launch.

A new cost-optimized tier of Sakana AI's Fugu orchestration family, launched alongside Fugu Ultra v2 on September 11 2026. Like the rest of the family it is a learned multi-agent orchestration engine that routes tasks across a swappable pool of open-weight and specialized models (built on Sakana's ICLR 2026 TRINITY and Conductor methods) rather than a single monolithic model, avoiding dependence on any one proprietary frontier model. Sakana is explicit that Max and Ultra v2 are not separate products but the same core orchestration architecture pointed at different missions — Ultra v2 chases peak capability, Max chases cost. Fugu Max is priced at $2/$6 per Mtok input/output with cached input at $0.25, undercutting the output cost of frontier models such as Claude Sonnet 5, GPT-5.6 Terra, and Kimi K3 by roughly 40-60%. On Sakana's self-reported evaluations it claims the best overall score across six benchmarks including Terminal-Bench 2.1, GPQA-Diamond, AA-LCR, GDP.pdf, AutomationBench, and SWEFish. Parameter count, architecture detail, and context ceiling are undisclosed; figures are system-level and unverified at launch.

Sakana AI's Japanese-specialized reasoning and agent model, opened as an API on Aug 11 2026. Rather than pretraining from scratch, Sakana builds on Moonshot's open-weight Kimi K2.6 and adds training for Japanese language and business contexts — the lab's 'sovereign AI by tuning other labs' strategy. Handles Japanese instruction following, business writing, math, coding, research, and multi-step agentic workflows; accepts text, images, and files such as PDFs and returns text, over a 262,144-token context with up to 65,536 output tokens, and ships native web-search and code-execution tools through a unified OpenAI-compatible API. Priced on OpenRouter at $0.95 / $4.00 per 1M input/output tokens. Not available in the EU/EEA, the UK, or Switzerland. Served via API; weights not separately published (base Kimi K2.6 is open-weight).

Sakana AI's frontier-class orchestration model: a single ~7B language model trained to coordinate a swappable pool of external frontier LLMs (model selection, delegation, verification, and synthesis happen internally), exposed behind one OpenAI-compatible API. The Ultra tier is tuned for maximum answer quality on hard, multi-step problems and coordinates a deeper, fixed pool of expert agents. Sakana reports it stands shoulder-to-shoulder with Anthropic's Fable 5 and Mythos Preview across coding, science, and reasoning benchmarks while routing around single-vendor/export-control risk. Current model ID fugu-ultra-20260615; vendor-reported scores include 95.5 GPQA-D, 73.7 SWE-Bench Pro, 93.2 LiveCodeBench, and 50.0 Humanity's Last Exam.

Sakana AI's orchestration model: a single language model that delivers a full multi-agent system behind one OpenAI-compatible API, dynamically routing tasks across a swappable pool of frontier LLMs (including recursive calls to itself). The base tier balances strong performance with low latency as an everyday default for coding, code review, and chat, and lets teams opt specific agents out of the pool for data/privacy/compliance needs. Released alongside Fugu Ultra on June 22, 2026; vendor-reported scores include 95.5 GPQA-D, 92.9 LiveCodeBench, and category-leading SciCode and long-context results.