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Tool Calling Ranking

See which AI models perform best on Tool Calling, which ones stay reliable, and where the biggest gaps appear. Sort by: Score ↑.

Models Shown

15

Average Tool Calling Score

8.7

Rank Model Company Tool Calling Score Score Tests Correct Response Time (avg)
#163 Granite 4.1 8B none IBM Granite 10.0 4.0 1/1 2.17s
#162 Nemotron 3 Nano Omni 30b A3b Reasoning none NVIDIA 3.0 4.1 0/1 0ms
#161 Qwen3.5-9B medium Qwen 10.0 4.2 1/1 4.31s
#160 LFM2-24B-A2B none Liquid 3.0 4.2 0/1 0ms
#159 Ling-2.6-1T none Inclusionai 3.0 4.3 0/1 25.7s
#158 GLM 4.7 Flash medium Z.ai 10.0 4.4 1/1 15.9s
#157 Grok 4.1 Fast none X AI 2.8 4.4 0/1 5.51s
#156 Hy3 preview none Tencent 10.0 4.4 1/1 33.8s
#155 Mercury 2 none Inception 10.0 4.5 1/1 1.27s
#154 Qwen3.5-9B none Qwen 10.0 4.6 1/1 1.27s
#153 Qwen3.6 35B A3B none Qwen 3.0 4.6 0/1 0ms
#152 MiMo-V2-Flash none Xiaomi 10.0 4.6 1/1 2.28s
#151 Trinity Large Preview none Arcee AI 10.0 4.6 1/1 6.67s
#150 Qwen3 Coder Next medium Qwen 10.0 4.6 1/1 2.64s
#149 Nemotron 3 Nano Omni 30b A3b Reasoning medium NVIDIA 3.0 4.6 0/1 0ms

Top Models by Tool Calling Score

Tool Calling Score vs Total Cost

Top Models by Response Time (avg)