This reporting page focuses on structured output, tool routing, function calling, and MCP-style task completion. It is narrower than the general agentic leaderboard and is better aligned to developers choosing models for tool-heavy applications.
This page ranks models using only sourced tool-use benchmarks in the reporting family.
According to BenchLM.ai, Grok 4.20 leads this ranking with a score of 96.5, followed by Gemini 3.1 Pro (95.6) and Muse Spark (91.5). There is meaningful separation between the top models, suggesting genuine performance differences.
The best open-weight option is GLM-5.1 (ranked #5 with a score of 71.2). While proprietary models lead, open-weight options are within striking distance for teams willing to trade a few points of performance for full model control.
This ranking is based on provisional overall weighted scores across BenchLM.ai's scoring formula tracked by BenchLM.ai. For detailed model profiles, click any model name below. To compare two specific models head-to-head, use the "vs #" links.
Grok 4.20
xAI · 2M
Gemini 3.1 Pro
Google · 1M
Muse Spark
Meta · 262K
The top model on this sourced reporting-family slice is Grok 4.20 by xAI with an average of 96.5.
The best open-weight model is GLM-5.1 at position #5.
17 models are listed with sourced benchmark coverage in this reporting family.
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