{"slug": "open-models-can-do-90-percent-of-agentic-work-at-a-twentieth-of-the-cost-of-a", "title": "Open models can do 90 percent of agentic work at a twentieth of the cost of a frontier LLM: Gartner", "summary": "Gartner analysts Mark Petty and Raymond Paquet wrote in a document titled \"Open-Weight Models Will Run 90% of Enterprise Agentic Workflow Steps\" that nine in 10 agent workflow steps are routine and open-weight models handle them at parity for a quarter of the price of the cheapest closed model, or as little as a twentieth of the cost of running a frontier model on every step. The pair cautioned that current open models can be more verbose and retry more often, putting the real per-task saving against a frontier model closer to five or six times, and set a strategic planning assumption that by 2030, 90% of enterprise operational agent workflow steps will execute on open-weight models. Gartner argued the main benefit is control — routine steps sent to a frontier API move workflow history outside a company's perimeter — and that harnesses, not models, are where value lies.", "body_md": "# Open models can do 90 percent of agentic work at a twentieth of the cost of a frontier LLM: Gartner\n\n[The Register](https://www.theregister.com)\n\nModels are commodities, harnesses are the valuable part\n\nFor-profit model-makers, many of which are spending billions on AI infrastructure, will be chasing revenue from just ten percent of steps involved in [agentic AI](https://www.machinebrief.com/glossary/agentic-ai) workflows, according to analyst firm Gartner.\n\n“Nine in 10 agent workflow steps are routine, and open-[weight](https://www.machinebrief.com/glossary/weight) models handle them at parity for a quarter of the price of the cheapest closed model,” the firm’s senior director Mark Petty and group vice president Raymond Paquet wrote last week in new document titled “Open-Weight Models Will Run 90% of Enterprise Agentic Workflow Steps.”\n\n“Typical operational workflows involve hundreds of routine executions, such as [classification](https://www.machinebrief.com/glossary/classification), tool calling, passing, validating and reconciling data,” the pair observe, before suggesting open-weight models “can handle hundreds of these routine steps for every one that needs frontier [reasoning](https://www.machinebrief.com/glossary/reasoning).”\n\n“Against the cheapest closed model at the same score, the open model costs a quarter as much. Against a frontier model run on every step, it costs as little as a twentieth,” the pair add.\n\nThose are the best-case numbers, because the analysts admit “Current open models can be more verbose and retry more often, so the saving per task against a frontier model is closer to five or six times.”\n\nThat’s still a lovely saving, but the analysts rate it as the welcome by-product of moving to open models rather than an end in itself.\n\n“Years of workflow history are a large part of what an acquirer pays for in a SaaS company and every routine step sent to a frontier API moves a slice of it outside your perimeter,” the pair wrote. “Open-weights preserve your control. The cost saving is a bonus.”\n\nThe two analysts therefore offer the following strategic planning assumption: “By 2030, 90% of enterprise operational agent workflow steps will execute on open-weight models.”\n\nThey argue that enterprises will mostly adopt domain-specific open-weight models, because they do well “in scenarios where a small number of highly stable steps run millions of times a month.”\n\nMost models, however, are already commodities. Harnesses, the tools that run agents and manage agents, are the source of value in AI products, because one of their roles is to route work to the most appropriate model for a job, without users noticing any impact. A good harness saves money, imposes strong [guardrails](https://www.machinebrief.com/glossary/guardrails), and manages agent fleets. Less powerful harnesses leave users with more to do.\n\nThe paper suggests frontier models will continue to have a role as the engine of research and development and are effectively capital expense. Open-weight models become an operational expense after frontier models do the heavy lifting. ®\n\nGet AI news in your inbox\n\nDaily digest of what matters in AI.\n\n## Key Terms Explained\n\n[Agentic AI](https://www.machinebrief.com/glossary/agentic-ai)\n\nAgentic AI refers to AI systems that can autonomously plan, execute multi-step tasks, use tools, and make decisions with minimal human oversight.\n\n[Classification](https://www.machinebrief.com/glossary/classification)\n\nA machine learning task where the model assigns input data to predefined categories.\n\n[Guardrails](https://www.machinebrief.com/glossary/guardrails)\n\nSafety measures built into AI systems to prevent harmful, inappropriate, or off-topic outputs.\n\n[Reasoning](https://www.machinebrief.com/glossary/reasoning)\n\nThe ability of AI models to draw conclusions, solve problems logically, and work through multi-step challenges.", "url": "https://wpnews.pro/news/open-models-can-do-90-percent-of-agentic-work-at-a-twentieth-of-the-cost-of-a", "canonical_source": "https://www.machinebrief.com/news/open-models-can-do-90-percent-of-agentic-work-at-a-twentieth-6s8s", "published_at": "2026-11-03 06:19:50+00:00", "updated_at": "2026-11-03 07:20:50.643969+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-agents", "large-language-models", "ai-infrastructure"], "entities": ["Gartner", "Mark Petty", "Raymond Paquet", "Open-Weight Models Will Run 90% of Enterprise Agentic Workflow Steps", "The Register"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/open-models-can-do-90-percent-of-agentic-work-at-a-twentieth-of-the-cost-of-a", "markdown": "https://wpnews.pro/news/open-models-can-do-90-percent-of-agentic-work-at-a-twentieth-of-the-cost-of-a.md", "text": "https://wpnews.pro/news/open-models-can-do-90-percent-of-agentic-work-at-a-twentieth-of-the-cost-of-a.txt", "jsonld": "https://wpnews.pro/news/open-models-can-do-90-percent-of-agentic-work-at-a-twentieth-of-the-cost-of-a.jsonld"}}