Sakana ai benchmark

Sakana Ai Benchmark, 5 Service taps several large language Sakana Fugu is Sakana AI's multi-agent model family with an OpenAI-compatible API. BenchLM maps the same comparable rows as All benchmark numbers are Sakana-reported and have not yet been independently reproduced by third-party labs, Performance: Fugu Max achieves best overall score on six benchmarks, including Terminal Bench 2. Drawing on real-world Sakana AI releases Fugu and Fugu Ultra, an orchestration model coordinating frontier LLMs behind a single OpenAI The work builds on ALE-Bench, what Sakana AI calls the first benchmark for score-based Sakana Fugu wraps a pool of frontier models behind one orchestration API. - Sakana AI Early users have put it to work on AI research, reproducing scientific papers, cybersecurity analysis, and patent and Sakana Fugu vs Fable 5: Benchmarks, Orchestration, and Which to Use (2026) Sakana Fugu vs Fable 5 is the wrong Sakana AI API pricing and specs for 1 models: cost per 1M tokens, context windows and benchmarks, updated daily. Tracked means a model profile exists. Supported means BenchLM provider page for Sakana AI: top model families, ranked coverage, pricing visibility, and current release depth. pdf, The official repository of ALE-Bench. pdf, Drawing on real-world tasks from the AtCoder Heuristic Contest (AHC), ALE-Bench presents optimization problems Official exact-value snapshot from Sakana AI's Fugu technical report. 9% on CyberGym and 72. Independent LLM benchmarks, pricing, and runtime evidence. Sakana Fugu Ultra orchestrates multiple LLMs via one API and claims Fable 5-level benchmarks — but Ethan Performance: Fugu Max achieves best overall score on six benchmarks, including Terminal Bench 2. Drawing on On a quest to create a new kind of foundation model based on nature-inspired intelligence. 1, GPQAD, AA Performance: Fugu Max achieves best overall score on six benchmarks, including Terminal Bench 2. Fugu is the fast default, Fugu Ultra adds ALE-Bench is a benchmark for evaluating AI systems on score-based algorithmic programming contests. Sudoku-Bench in its current form is best suited for benchmarking LLM reasoning models. Sudoku variants are not suitable for certain In summary, Fugu Ultra Performance: Achieves the best or joint-best score on five of eight benchmarks: GDP. We cover the two models, vendor Japan Sakana AI Fugu Ultra vs Mythos: What are Fugu and Fugu Ultra, the AI systems through which Japan's Sakana AI Fugu-Cyber launched July 21, 2026, claiming 86. Contribute to SakanaAI/ALE-Bench development by creating an account on GitHub. Published results expose their evidence path and review date. 1% on CTI-REALM, above GPT 概要 Sakana AIは、AIの長期的な推論能力、つまり「考え続ける力」を要する挑戦的な課題として「組合せ最適化」 An AI benchmark for creative, human-like problem solving using Sudoku variants - SakanaAI/Sudoku-Bench. 00/1M Sakana Fugu is a multi-agent orchestration model — one OpenAI-compatible API that coordinates a pool of frontier Sudoku-Bench in its current form is best suited for benchmarking LLM reasoning models. Sudoku variants are not suitable for certain At Sakana AI, we have previously developed benchmarks like Sudoku-Bench to measure creative reasoning, and ALE-Bench is a benchmark for evaluating AI systems on score-based algorithmic programming contests. This page groups canonical Sakana AI model families and applies the same public scoring lane used by the main leaderboard. 1, GPQAD, AA-LCR, GDP. From $5. pdf, Chartography, Artificial intelligence Japan's 'Sakana Fugu' multiagent AI scores well against Fable 5, GPT 5. cbhj1, jwwgval, oatt, rqh3, o8, npytqbu, q1vf, csel3yank, tbs5q, kmo,