Best LLMs for Tool Calling — MoonshotAI
The best MoonshotAI model for tool calling is Kimi K2.6, completing 95.9% of Tau²-Bench's multi-turn tool-use tasks. Kimi K2.5 (95.9%) and Kimi K2 Thinking (93.0%) round out the top three.
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kimi-k2.6ReasoningToolsJSON+144.2 intel · $0.589/M · 92 t/s95.9%τ²-Bench - 2kimi-k2.5ReasoningToolsJSON+135.4 intel · $0.570/M · 49 t/s95.9%τ²-Bench
- 3kimi-k2-thinkingReasoningToolsJSON32.7 intel · $0.600/M · 80 t/s93.0%τ²-Bench
- 4kimi-k2.7-codeReasoningToolsJSON+141.9 intel · $0.730/M · 185 t/s90.1%τ²-Bench
- 5kimi-k2-0905ToolsJSON23.5 intel · $0.600/M · 17 t/s73.4%τ²-Bench
- 6kimi-k2Tools19.4 intel · $0.570/M · 27 t/s61.1%τ²-Bench
- 7kimi-k3ReasoningToolsJSON+157.1 intel · $3.00/M · 60 t/s33.4%τ²-Bench
How this is ranked
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.
Frequently asked
Which MoonshotAI model is best at tool calling?
The best MoonshotAI model for tool calling is Kimi K2.6, completing 95.9% of Tau²-Bench's multi-turn tool-use tasks. Kimi K2.5 (95.9%) and Kimi K2 Thinking (93.0%) round out the top three.
What's a good alternative to Kimi K2.6?
Kimi K2.5 (95.9%) is the closest alternative on this metric, followed by Kimi K2 Thinking (93.0%). See the full ranking above for the tradeoffs.
How many MoonshotAI models are there?
modelgrep tracks 7 MoonshotAI models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Kimi K3. 7 of them qualify for this ranking.