The best DeepSeek model for tool calling is DeepSeek V4 Pro, completing 96.2% of Tau²-Bench's multi-turn tool-use tasks. DeepSeek V3.2 (78.9%) and DeepSeek V3.1 Terminus (37.1%) round out the top three.
AI models ranked by Tau²-Bench — multi-turn conversations where the model has to call the right tools, in the right order, against a real API to complete a customer task. This measures whether function calling actually works under pressure, which is a different question from whether a model supports the parameter at all.
The best DeepSeek model for tool calling is DeepSeek V4 Pro, completing 96.2% of Tau²-Bench's multi-turn tool-use tasks. DeepSeek V3.2 (78.9%) and DeepSeek V3.1 Terminus (37.1%) round out the top three.
DeepSeek V3.2 (78.9%) is the closest alternative on this metric, followed by DeepSeek V3.1 Terminus (37.1%). See the full ranking above for the tradeoffs.
modelgrep tracks 12 DeepSeek models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by DeepSeek V4 Flash 0731. 7 of them qualify for this ranking.