Qwen3.7 Max
Alibaba
Has the highest BFCL V4 score of the three.
BFCL V4 score75.0%
- function call accuracy
- structured tool output
No single model wins everything. Today the leader in code is not the leader in voice, the best model for documents loses on images, and half of these positions move within a month. That is what the board below is for: the top 3 for each of 26 tasks, rebuilt every 10 days from public leaderboards and independent tests.
Then I build the thing that uses it. Agents that handle support, pipelines that read invoices and contracts, voice that answers the phone, bots that qualify leads while you sleep. It plugs into what you already run — CRM, spreadsheets, Telegram, your own API — and every step calls the model that wins that particular step, whichever provider it belongs to.
For reliable function calls, JSON arguments and structured tool use.
Scores come from the Berkeley function-calling benchmark. Tool schemas differ between providers, so narrow gaps here mean little in practice.
Alibaba
Has the highest BFCL V4 score of the three.
BFCL V4 score75.0%
Bad Theory Labs
Places second on the captured BFCL V4 score view.
BFCL V4 score73.5%
InclusionAI
Places third on the captured BFCL V4 score view.
BFCL V4 score73.0%
There is no single “best AI model” here. Every task is judged on its own: public leaderboards, independent tests and official model data, weighed together rather than copied from one board. The whole thing is re-checked every 10 days. Two modes of the same base model never take two places in one top 3. Likes are a separate reader signal — they never move the ranking.