Tool Calling Ranking
See which AI models perform best on Tool Calling, which ones stay reliable, and where the biggest gaps appear. Sort by: Metric ↑.
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| Rank | Model | Company | Tool Calling Score | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #294 | Qwen3.6 Plus Preview medium | Qwen | 10.0 | 4.9 | $0.000 | 1/1 | 5.87s |
| #295 | Mercury 2.5 Preview none | Inception | 10.0 | 4.9 | $0.018 | 1/1 | 1.29s |
| #300 | Nemotron 3.5 Lightning low | NVIDIA | 10.0 | 4.8 | $0.139 | 1/1 | 5.08s |
| #301 | GPT-5.4 Nano none | OpenAI | 10.0 | 4.8 | $0.041 | 1/1 | 3.40s |
| #302 | Trinity Large Thinking high | Arcee AI | 10.0 | 4.8 | $0.592 | 1/1 | 5.96s |
| #304 | KAT-Coder-Air V2.5 none | Kwaipilot | 10.0 | 4.8 | $0.070 | 1/1 | 5.13s |
| #306 | Trinity Large Preview none | Arcee AI | 10.0 | 4.8 | $0.008 | 1/1 | 6.67s |
| #307 | Hunter Alpha medium | OpenRouter | 10.0 | 4.7 | $0.000 | 1/1 | 17.3s |
| #309 | Laguna M.1 medium | Poolside | 10.0 | 4.7 | $0.033 | 1/1 | 6.31s |
| #310 | Cobuddy medium | Baidu | 10.0 | 4.7 | $0.000 | 1/1 | 11.2s |
| #311 | Mercury 2 none | Inception | 10.0 | 4.7 | $0.030 | 1/1 | 1.27s |
| #312 | Granite 4.2 8B high | IBM Granite | 10.0 | 4.6 | $0.135 | 1/1 | 15.1s |
| #313 | Qwen3 Coder Next medium | Qwen | 10.0 | 4.6 | $0.034 | 1/1 | 2.64s |
| #314 | MiniMax M2.5 medium | Minimax | 10.0 | 4.6 | $0.327 | 1/1 | 15.4s |
| #316 | Grok 4.20 Beta none | X AI | 10.0 | 4.4 | $0.087 | 1/1 | 4.79s |