Sakana AI Fugu Ultra is officially launched! What is the difference between it and GLM-5.2 and Mythos (Claude Mythos/Fable 5)? Explain the performance gap and price difference clearly at once Sakana AI (Japan) today launched Fugu Ultra, which is not a traditional single LLM, but a "multi-agent coordination system" ， By using a single OpenAI compatible API, multiple backend models can be dynamically combined to handle complex tasks. Official statement: Fugu Ultra achieves the same level of performance as Fable 5 and Mythos Preview, and there is no export control risk ✅ The following is related to GLM-5.2 (Zhipu AI)/ http://Z.ai ）Detailed comparison with Mythos/Fable 5 (Anthropic): 1. Core architecture differences (the most fundamental differences) Mythos/Fable 5: Single top-notch Frontier LLM (especially with strong abilities in agentic, coding, and cyber) GLM-5.2: Single powerful model, open-source weight (MIT License), can be deployed locally or self built • Fugu Ultra: not a single model, but an "intelligent coordination layer after a single API"! Like a conductor+multiple expert agents (Thinker/Worker/Verifier), dynamically determining division of labor Conclusion: Fugu is a "meta system", which can give play to the advantages of multiple models, and the weaknesses of a single model may be remedied ✨ 2. Performance gap (measured by benchmark) Official benchmark (Fugu Ultra did not include Mythos/Fable in the agent pool): SWE Bench Pro: Fugu Ultra 73.7 (highest)>Opus 4.8 (69.2) LiveCodeBench: Fugu Ultra 93.2 (highest) LiveCodeBench Pro: Fugu Ultra 90.8 (highest) GPQA-D: Fugu Ultra 95.5 (tied for highest) Humanity's Last Exam: Fugu Ultra 50.0 (highest) Along with Mythos/Fable 5: Officially declared 'shoulder to shoulder' ， Some tasks even outperform in qualitative testing, such as Rubik's Cube, CAD generation, stock trading, and paper reproduction. The difference is minimal or even, but Fugu may be more stable and reliable in multi-step complex workflows. Compared to GLM-5.2, GLM-5.2 is already very strong in the coding field (close to Opus) and is currently the top open-source/domestic model 。 But Fugu Ultra's goal is to achieve a higher level of frontier (matching Mythos). Daily coding GLM is sufficient, and Fugu has obvious advantages in extreme complex tasks! 3. Price difference (the most practical difference!) Pricing per Million Tokens (USD, Pay as you go): GLM-5.2: $1.40 input/$4.40 output (super cheap!)! Prompt caching is more cost-effective Fugu Ultra: $5 input/$30 output (context>272K changes to $10/$45). There are also subscription plans: Standard $20/month, Pro $100/month, Max $200/month (including Fugu+Ultra) Claude Fable 5/Mythos 5: $10 input/$50 output (most expensive) Price Summary: GLM is the most cost-effective, suitable for large-scale use or limited budget ✅ Fugu Ultra is about half cheaper than Mythos, but 3-7 times more expensive than GLM (depending on the task) Mythos is the most expensive and restricted 4. Availability and other gaps ⚖️ Mythos: Fable 5 is publicly available but has safeguards (tasks such as cyber may fall back); Mythos 5 strictly limits access to trusted users Fugu Ultra: globally available, no export control issues, single API for easy integration GLM-5.2: The most flexible, open source local running, best privacy, strong Chinese support • Delay: Fugu may be slower than a single model because of coordination (Ultra version pays more attention to quality) • Risk: Mythos cyber has strong capabilities but is controversial; Fugu uses obtainable models with low risk; GLM open source is the most transparent Final recommendation (who should use whom) • Limited budget, daily coding/development, heavy emphasis on Chinese → Choose GLM-5.2 (the king of cost-effectiveness, with little difference but much cheaper) • Want frontier level performance, complex multi-step tasks, single API convenience, and no need to be regulated → Choose Fugu Ultra (currently the most cost-effective Mythos level alternative) Need absolute top-notch single model+enterprise/trust pipeline → Mythos/Fable 5 (but much more expensive) The emergence of Fugu represents that AI is moving from "single model worship" to "intelligent coordination era" 。 Whoever can do orchestration well and cheaply in the future will win! Do you think Fugu Ultra will disrupt the market? Is it GLM or the most pragmatic choice? Welcome to leave a message for discussion