ModelRefs / Best Agentic AI Models in 2026
Best Agentic AI Models in 2026
AI models tuned for tool use, planning, and autonomous task execution. Compare agentic capabilities, function-calling reliability, and reasoning depth.
Overview
Agentic models combine reasoning with reliable tool use and structured output. Evaluate them on function-calling accuracy, planning depth, and agent-bench scores.
ModelRefs tracks 6 agentic models with a published reference page. Each page states the provider, the capabilities ModelRefs has evidence for, the benchmark results it holds with their dates and sources, and the limitations and coverage gaps that remain.
Models in this category
6 agentic models have a published reference page on ModelRefs.
Listed alphabetically. Category membership means a model is a candidate worth evaluating for this kind of work, not a ranking and not an endorsement — compare the evidence on each page against your own requirements.
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Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Best Agentic AI Models in 2026.
Frequently asked questions
What makes a model 'agentic'?
An agentic model reliably plans multi-step tasks, calls external tools, recovers from errors, and produces structured outputs that other systems can consume.