| Rank | Model | Score |
|---|---|---|
| 1 | minimax-m2-5 | 0.768 |
| 2 | nemotron-nano-9b-v2 | 0.669 |
1 phaseActive
Multi-turn function calling benchmark using state-based evaluation to test sequential function calls and conversational context management.
Quick answer: BFCL v3 MultiTurn evaluates LLMs on multi-turn, multi-step function calling scenarios using state-based evaluation. Models must manage sequential function calls, handle conversational context across turns, and make dynamic decisions about when and how to invoke functions.
BFCL V3 MultiTurn introduces complex agentic interactions requiring models to manage sequential function calls across multiple turns. State-based evaluation verifies actual API system state after function execution, providing realistic assessment of function calling in agentic applications.
| Property | Value |
|---|---|
| Metric | State-based accuracy |
| Evaluation | Post-execution API state verification |
| Categories | Tool calling, Reasoning, Multi-turn agent |
| Modality | Text |
Source: Yan et al. 2024. Last updated 2026-07-24.