BFCL V4
Models call functions and tools, including multi-turn agentic tasks with web search and memory. Checked against expected calls and outcomes.
V4 added agentic web search and memory categories and changed the overall formula, so its scores do not compare with V3.
- Level
- Everyday Most adults, without training
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
Qwen3.7-Max leads with 75%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 75.0
Qwen3.7-Max
- 73.4
Seed2.0 Pro
- 72.9
Qwen3.5 397B-A17B
- 72.9
Qwen3.7-Plus
- 72.2
Qwen3.5-122B-A10B
- 71.8
Spark-X2.6-4B
- 71.4 LFM3-1.7B
- 70.6
Ling-2.6-1T
- 70.1
Trinity Large Thinking
- 67.7
Qwen3-Max
- 66.5
ERNIE 5.0
- 65.7
Keye-VL-2.0-30B-A3B
- 65.0 LFM2.5-24B-A2B
- 63.3
Qwen3.5-Omni-Plus
- 61.6
Nova 2.0 Pro Preview
- 61.4 Granite 4.2 30B
- 60.3
Nova 2 Lite
- 58.3
Nova 2 Omni Preview
- 57.2
Seed1.8
- 56.9 LFM2.5-2.6B
- 53.8
Nemotron 3 Nano 30B-A3B
- 52.9
Nemotron-Cascade 2 30B-A3B
- 48.5 LFM2.5-8B-A1B
- 32.5 LFM2.5-VL-3B
- 1
Qwen3.7-Max 75%
- 2
Seed2.0 Pro 73.4%
- 3
Qwen3.5 397B-A17B 72.9%
- 4
Qwen3.7-Plus 72.9%
- 5
Qwen3.5-122B-A10B 72.2%
- 6
Spark-X2.6-4B 71.8%
- 7 LFM3-1.7B 71.4%
- 8
Ling-2.6-1T 70.6%
- 9
Trinity Large Thinking 70.1%
- 10
Qwen3-Max 67.7%
- 11
ERNIE 5.0 66.5%
- 12
Keye-VL-2.0-30B-A3B 65.7%
- 13 LFM2.5-24B-A2B 65%
- 14
Qwen3.5-Omni-Plus 63.3%
- 15
Nova 2.0 Pro Preview 61.6%
- 16 Granite 4.2 30B 61.4%
- 17
Nova 2 Lite 60.3%
- 18
Nova 2 Omni Preview 58.3%
- 19
Seed1.8 57.2%
- 20 LFM2.5-2.6B 56.9%
- 21
Nemotron 3 Nano 30B-A3B 53.8%
- 22
Nemotron-Cascade 2 30B-A3B 52.9%
- 23 LFM2.5-8B-A1B 48.5%
- 24 LFM2.5-VL-3B 32.5%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 75% | May 2026 | Model card | |
| 2 | | 73.4% | Feb 2026 | Model card | |
| 3 | | 72.9% | Feb 2026 | Model card | |
| 4 | | 72.9% | Jun 2026 | Model card | |
| 5 | | 72.2% | Feb 2026 | Model card | |
| 6 | | 71.8% | Oct 2026 | Model card | |
| 7 | LFM3-1.7B | 71.4% | Oct 2026 | Model card | |
| 8 | | 70.6% | Apr 2026 | Model card | |
| 9 | | 70.1% | Apr 2026 | Model card | |
| 10 | | 67.7% | Jan 2026 | Model card | |
| 11 | | 66.5% | Feb 2026 | Model card | |
| 12 | | 65.7% | May 2026 | Model card | |
| 13 | LFM2.5-24B-A2B | 65% | Oct 2026 | Model card | |
| 14 | | 63.3% | Mar 2026 | Model card | |
| 15 | | 61.6% | Dec 2025 | Model card | |
| 16 | Granite 4.2 30B | 61.4% | Aug 2026 | Model card | |
| 17 | | 60.3% | Dec 2025 | Model card | |
| 18 | | 58.3% | Dec 2025 | Model card | |
| 19 | | 57.2% | Dec 2025 | Model card | |
| 20 | LFM2.5-2.6B | 56.9% | Aug 2026 | Model card | |
| 21 | | 53.8% | Dec 2025 | Model card | |
| 22 | | 52.9% | Mar 2026 | Model card | |
| 23 | LFM2.5-8B-A1B | 48.5% | May 2026 | Model card | |
| 24 | LFM2.5-VL-3B | 32.5% | Aug 2026 | Model card |
The benchmark's own leaderboard has 80 entries, 65 of them models we track. We plot every source in the charts below.
3 models have held number one since its release in Jul 2025
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
4 labs put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 27 Oct 2026 | LFM3-1.7B | 71.4 | BFCL V4 |
| 22 Oct 2026 | 71.8 | BFCL-V4 | |
| 13 Oct 2026 | LFM2.5-24B-A2B | 65 | BFCLv4 |
| 25 Aug 2026 | Granite 4.2 30B | 61.4 | BFCL (v4) |
| 12 Aug 2026 | LFM2.5-VL-3B | 32.5 | BFCL V4 |
| 4 Aug 2026 | LFM2.5-2.6B | 56.9 | BFCLv4 |
| 1 Jun 2026 | 72.9 | BFCL-V4 | |
| 28 May 2026 | LFM2.5-8B-A1B | 48.5 | BFCLv4 |
| 25 May 2026 | 65.7 | BFCL-V4 | |
| 20 May 2026 | 75 | BFCL-V4 | |
| 29 Apr 2026 | 70.6 | BFCL-V4 | |
| 1 Apr 2026 | 70.1 | BCFLv4 | |
| 30 Mar 2026 | 63.3 | BFCL-V4 | |
| 19 Mar 2026 | 52.9 | BFCL v4 | |
| 24 Feb 2026 | 72.2 | BFCL-V4 | |
| 16 Feb 2026 | 72.9 | BFCL-V4 | |
| 14 Feb 2026 | 73.4 | BFCL-v4 | |
| 6 Feb 2026 | 66.5 | BFCL v4 | |
| 23 Jan 2026 | 67.7 | BFCL-V4 | |
| 18 Dec 2025 | 57.2 | BFCL-v4 | |
| 15 Dec 2025 | 53.8 | BFCL v4 | |
| 2 Dec 2025 | 58.3 | BFCL v4 Overall FC | |
| 2 Dec 2025 | 60.3 | BFCL v4 Overall FC | |
| 2 Dec 2025 | 61.6 | BFCL v4 Overall FC | |
| 19 Nov 2025 | Grok 4.1 Fast | Berkeley Function Calling v4 Benchmark, overall accuracy (chart) |
11 system cards report it, from 7 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 13 Jun 2026 | | 70.6 | BFCL-v4, accuracy (Table 5) | Capabilities |
| 9 Jun 2026 | | 65.7 | BFCL-V4 (Table 4) | Capabilities |
| 17 Apr 2026 | | 63.3 | BFCL-V4 (Table 4) | Capabilities |
| 21 Mar 2026 | | 57.2 | BFCL-v4 (Table 4) | Capabilities |
| 19 Mar 2026 | | 52.9 | BFCL v4, thinking mode, avg@1 (Table 1) | Capabilities |
| 14 Feb 2026 | | 73.4 | BFCL-v4 (Table 11) | Capabilities |
| 4 Feb 2026 | | 66.5 | BFCL v4 (Table 2) | Capabilities |
| 23 Dec 2025 | | 53.8 | BFCL v4 (Table 3) | Capabilities |
| 2 Dec 2025 | | 58.3 | BFCL v4 Overall FC (Table 5) | Capabilities |
| 2 Dec 2025 | | 60.3 | BFCL v4 Overall FC (Table 2) | Capabilities |
| 2 Dec 2025 | | 61.6 | BFCL v4 Overall FC (Table 2) | Capabilities |
Versions
We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.
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