Best LLMs for Tool Calling — SpaceXAI
The best SpaceXAI model for tool calling is Grok 4.3, completing 97.7% of Tau²-Bench's multi-turn tool-use tasks. Grok 4.20 (93.0%) and Grok 4.5 (32.6%) round out the top three.
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grok-4.3ReasoningToolsJSON+137.6 intel · $1.25/M · 95 t/s97.7%τ²-Bench - 2grok-4.20ReasoningToolsJSON+137.0 intel · $1.25/M · 144 t/s93.0%τ²-Bench
- 3grok-4.5ReasoningToolsJSON+153.8 intel · $2.00/M · 52 t/s32.6%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 SpaceXAI model is best at tool calling?
The best SpaceXAI model for tool calling is Grok 4.3, completing 97.7% of Tau²-Bench's multi-turn tool-use tasks. Grok 4.20 (93.0%) and Grok 4.5 (32.6%) round out the top three.
What's a good alternative to Grok 4.3?
Grok 4.20 (93.0%) is the closest alternative on this metric, followed by Grok 4.5 (32.6%). See the full ranking above for the tradeoffs.
How many SpaceXAI models are there?
modelgrep tracks 5 SpaceXAI models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Grok 4.5. 3 of them qualify for this ranking.