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Model rank

BFCL tool use configurations

109 models ranked by BFCL overall accuracy.
Recorded Apr 13, 2026Source: the Berkeley Function Calling LeaderboardHow this board is measuredCSV / JSON

77.47%

Claude-Opus-4-5-20251101 (FC) ranks first

BFCL overall accuracy

109

Models ranked

Apr 13

Snapshot recorded

2026

Follow changes

All 109 models by BFCL overall accuracy

Claude-Opus-4-5-20251101 (FC) leads at 77.47%; the middle of the board sits at 35.5%.

Ahead of second place
4.2%
Held by the top three
5%
Middle of the board
35.5%
Below half the leader
64 of 109
Highest 77.47%Middle 35.5%
1. Claude-Opus-4-5-20251101 (FC): 77.47%2. Claude-Sonnet-4-5-20250929 (FC): 73.24%3. Gemini-3-Pro-Preview (Prompt): 72.51%4. GLM-4.6 (FC thinking): 72.38%5. Grok-4-1-fast-reasoning (FC): 69.57%6. Claude-Haiku-4-5-20251001 (FC): 68.70%7. Gemini-3-Pro-Preview (FC): 68.14%8. o3-2025-04-16 (Prompt): 63.05%9. Grok-4-0709 (Prompt): 62.97%10. Grok-4-0709 (FC): 61.38%11. Moonshotai-Kimi-K2-Instruct (FC): 59.06%12. Grok-4-1-fast-non-reasoning (FC): 58.29%13. Command A Reasoning (FC): 57.06%14. DeepSeek-V3.2-Exp (Prompt + Thinking): 56.73%15. Gemini-2.5-Flash (FC): 56.24%16. GPT-5.2-2025-12-11 (FC): 55.87%17. GPT-5-mini-2025-08-07 (FC): 55.46%18. xLAM-2-32b-fc-r (FC): 54.66%19. DeepSeek-V3.2-Exp (FC): 54.12%20. GPT-4.1-2025-04-14 (FC): 53.96%21. o4-mini-2025-04-16 (FC): 53.24%22. xLAM-2-70b-fc-r (FC): 53.07%23. Qwen3-235B-A22B-Instruct-2507 (Prompt): 52.15%24. GPT-5-nano-2025-08-07 (FC): 51.45%25. Nanbeige4-3B-Thinking-2511 (FC): 51.40%26. Gemini-2.5-Flash (Prompt): 50.90%27. GPT-4.1-mini-2025-04-14 (FC): 50.45%28. o4-mini-2025-04-16 (Prompt): 50.26%29. Qwen3-32B (FC): 48.71%30. o3-2025-04-16 (FC): 48.56%31. Qwen3-235B-A22B-Instruct-2507 (FC): 47.99%32. Nanbeige3.5-Pro-Thinking (FC): 47.68%33. Qwen3-32B (Prompt): 46.78%34. xLAM-2-8b-fc-r (FC): 46.68%35. Command A (FC): 46.49%36. BitAgent-Bounty-8B: 46.23%37. Arch-Agent-32B: 45.37%38. GPT-5.2-2025-12-11 (Prompt): 45.27%39. Qwen3-8B (FC): 42.57%40. ToolACE-2-8B (FC): 42.44%41. Qwen3-30B-A3B-Instruct-2507 (FC): 41.39%42. xLAM-2-3b-fc-r (FC): 41.22%43. Qwen3-14B (FC): 41.03%44. Qwen3-8B (Prompt): 40.43%45. GPT-4.1-2025-04-14 (Prompt): 39.38%46. mistral-large-2411 (FC): 38.37%47. Qwen3-14B (Prompt): 37.77%48. Mistral-Medium-2505: 37.69%49. Mistral-Medium-2505 (FC): 37.56%50. Llama-4-Maverick-17B-128E-Instruct-FP8 (FC): 37.29%51. Mistral-small-2506 (FC): 37.15%52. Gemini-2.5-Flash-Lite (FC): 36.87%53. Qwen3-30B-A3B-Instruct-2507 (Prompt): 36.70%54. Qwen3-4B-Instruct-2507 (FC): 35.68%55. Qwen3-4B-Instruct-2507 (Prompt): 35.52%56. Arch-Agent-3B: 35.36%57. Claude-Opus-4-5-20251101 (Prompt): 33.47%58. GPT-4.1-nano-2025-04-14 (FC): 33.05%59. Mistral-Small-2506 (Prompt): 32.38%60. Arch-Agent-1.5B: 32.14%61. Command R7B (FC): 32.07%62. Llama-3.3-70B-Instruct (FC): 31.90%63. mistral-large-2411 (Prompt): 31.84%64. Hammer2.1-7b (FC): 31.67%65. xLAM-2-1b-fc-r (FC): 30.44%66. Gemma-3-12b-it (Prompt): 30.43%67. GPT-4.1-mini-2025-04-14 (Prompt): 29.73%68. Hammer2.1-3b (FC): 29.71%69. Gemma-3-27b-it (Prompt): 29.47%70. Phi-4 (Prompt): 28.79%71. Qwen3-1.7B (FC): 28.41%72. Llama-4-Scout-17B-16E-Instruct (FC): 28.13%73. Gemini-2.5-Flash-Lite (Prompt): 28.03%74. CoALM-70B: 27.99%75. Hammer2.1-1.5b (FC): 27.88%76. palmyra-x-004 (FC): 27.87%77. GPT-5-mini-2025-08-07 (Prompt): 27.83%78. Open-Mistral-Nemo-2407 (FC): 27.63%79. GPT-5-nano-2025-08-07 (Prompt): 27.55%80. Amazon-Nova-2-Lite-v1:0 (FC): 27.10%81. Granite-3.1-8B-Instruct (FC): 27.10%82. Falcon3-10B-Instruct (FC): 27.01%83. Granite-3.2-8B-Instruct (FC): 26.87%84. CoALM-8B: 26.81%85. Llama-3.1-8B-Instruct (Prompt): 25.83%86. MiniCPM3-4B-FC (FC): 25.55%87. Claude-Haiku-4-5-20251001 (Prompt): 25.26%88. Amazon-Nova-Pro-v1:0 (FC): 24.97%89. Claude-Sonnet-4-5-20250929 (Prompt): 24.90%90. GPT-4.1-nano-2025-04-14 (Prompt): 24.88%91. Falcon3-7B-Instruct (FC): 24.03%92. Qwen3-0.6B (FC): 23.93%93. Granite-20b-FunctionCalling (FC): 23.23%94. Qwen3-0.6B (Prompt): 22.38%95. Amazon-Nova-Micro-v1:0 (FC): 22.29%96. RZN-T (Prompt): 22.25%97. MiniCPM3-4B (Prompt): 22.08%98. Llama-3.2-3B-Instruct (FC): 21.95%99. Bielik-11B-v2.3-Instruct (Prompt): 21.90%100. Hammer2.1-0.5b (FC): 21.22%101. Gemma-3-4b-it (Prompt): 19.62%102. Open-Mistral-Nemo-2407 (Prompt): 19.31%103. Granite-4.0-350m (FC): 18.98%104. Falcon3-3B-Instruct (FC): 16.25%105. Ministral-8B-Instruct-2410 (FC): 11.10%106. Falcon3-1B-Instruct (FC): 11.08%107. Llama-3.2-1B-Instruct (FC): 10.82%108. Llama-3.1-Nemotron-Ultra-253B-v1 (FC): 10.00%109. Gemma-3-1b-it (Prompt): 7.17%
Rank 1One bar per published rowRank 109

Official UC Berkeley BFCL v4 leaderboard · 100% confidence across rows.

BFCL tool use configurations current rankings
RankNameBFCL overall accuracyBFCL evaluation total costBFCL format sensitivity max deltaBFCL format sensitivity standard deviationWhy
01Claude-Opus-4-5-20251101 (FC)77.47%$86.55——This rank
02Claude-Sonnet-4-5-20250929 (FC)73.24%$43.73——This rank
03Gemini-3-Pro-Preview (Prompt)72.51%$298.478.51.7This rank
04GLM-4.6 (FC thinking)72.38%$4.64——This rank
05Grok-4-1-fast-reasoning (FC)69.57%$17.26——This rank
06Claude-Haiku-4-5-20251001 (FC)68.70%$14.23——This rank
07Gemini-3-Pro-Preview (FC)68.14%$224.69——This rank
08o3-2025-04-16 (Prompt)63.05%$234.648.52.8This rank
09Grok-4-0709 (Prompt)62.97%$348.19132.9This rank
10Grok-4-0709 (FC)61.38%$355.17——This rank
11Moonshotai-Kimi-K2-Instruct (FC)59.06%$6.19——Showing
12Grok-4-1-fast-non-reasoning (FC)58.29%$16.27——This rank
13Command A Reasoning (FC)57.06%$3.04——This rank
14DeepSeek-V3.2-Exp (Prompt + Thinking)56.73%$57.75102.8This rank
15Gemini-2.5-Flash (FC)56.24%$26.36——This rank
16GPT-5.2-2025-12-11 (FC)55.87%$85.65——This rank
17GPT-5-mini-2025-08-07 (FC)55.46%$22.18——This rank
18xLAM-2-32b-fc-r (FC)54.66%$6——This rank
19DeepSeek-V3.2-Exp (FC)54.12%$6.71——This rank
20GPT-4.1-2025-04-14 (FC)53.96%$100.75——This rank
21o4-mini-2025-04-16 (FC)53.24%$81.91——This rank
22xLAM-2-70b-fc-r (FC)53.07%$25.1——This rank
23Qwen3-235B-A22B-Instruct-2507 (Prompt)52.15%$3.1282This rank
24GPT-5-nano-2025-08-07 (FC)51.45%$8.79——This rank
25Nanbeige4-3B-Thinking-2511 (FC)51.40%$14.14——This rank
26Gemini-2.5-Flash (Prompt)50.90%$33.4592.5This rank
27GPT-4.1-mini-2025-04-14 (FC)50.45%$19.25——This rank
28o4-mini-2025-04-16 (Prompt)50.26%$133.639.52.6This rank
29Qwen3-32B (FC)48.71%$153.08——This rank
30o3-2025-04-16 (FC)48.56%$133.45——This rank
31Qwen3-235B-A22B-Instruct-2507 (FC)47.99%$2.5——This rank
32Nanbeige3.5-Pro-Thinking (FC)47.68%$23.46——This rank
33Qwen3-32B (Prompt)46.78%$199.4715.53.8This rank
34xLAM-2-8b-fc-r (FC)46.68%$20.92——This rank
35Command A (FC)46.49%$91.37——This rank
36BitAgent-Bounty-8B46.23%$18.02——This rank
37Arch-Agent-32B45.37%$8.87——This rank
38GPT-5.2-2025-12-11 (Prompt)45.27%$164.58133.3This rank
39Qwen3-8B (FC)42.57%$43.32——This rank
40ToolACE-2-8B (FC)42.44%$24.4381.527.9This rank
41Qwen3-30B-A3B-Instruct-2507 (FC)41.39%$5.62——This rank
42xLAM-2-3b-fc-r (FC)41.22%$3.36——This rank
43Qwen3-14B (FC)41.03%$3.38——This rank
44Qwen3-8B (Prompt)40.43%$63.9516.55.1This rank
45GPT-4.1-2025-04-14 (Prompt)39.38%$145.8523.56.2This rank
46mistral-large-2411 (FC)38.37%$115.98——This rank
47Qwen3-14B (Prompt)37.77%$1.35144This rank
48Mistral-Medium-250537.69%$36.5121.55This rank
49Mistral-Medium-2505 (FC)37.56%$18.8——This rank
50Llama-4-Maverick-17B-128E-Instruct-FP8 (FC)37.29%$18.25——This rank
51Mistral-small-2506 (FC)37.15%$5.2——This rank
52Gemini-2.5-Flash-Lite (FC)36.87%$7.55——This rank
53Qwen3-30B-A3B-Instruct-2507 (Prompt)36.70%$1.56164.1This rank
54Qwen3-4B-Instruct-2507 (FC)35.68%$6.37——This rank
55Qwen3-4B-Instruct-2507 (Prompt)35.52%$53.66185.2This rank
56Arch-Agent-3B35.36%$3.7——This rank
57Claude-Opus-4-5-20251101 (Prompt)33.47%$88.33133.7This rank
58GPT-4.1-nano-2025-04-14 (FC)33.05%$5.66——This rank
59Mistral-Small-2506 (Prompt)32.38%$6.915013.6This rank
60Arch-Agent-1.5B32.14%$2.45——This rank
61Command R7B (FC)32.07%$1.5——This rank
62Llama-3.3-70B-Instruct (FC)31.90%$29.54——This rank
63mistral-large-2411 (Prompt)31.84%$232.4213.53.9This rank
64Hammer2.1-7b (FC)31.67%$4.99——This rank
65xLAM-2-1b-fc-r (FC)30.44%$2.79——This rank
66Gemma-3-12b-it (Prompt)30.43%$10.7767.522.4This rank
67GPT-4.1-mini-2025-04-14 (Prompt)29.73%$20.524513.3This rank
68Hammer2.1-3b (FC)29.71%$10.89——This rank
69Gemma-3-27b-it (Prompt)29.47%$11.82348.1This rank
70Phi-4 (Prompt)28.79%$8.7281.523.3This rank
71Qwen3-1.7B (FC)28.41%$4.33——This rank
72Llama-4-Scout-17B-16E-Instruct (FC)28.13%$24.68——This rank
73Gemini-2.5-Flash-Lite (Prompt)28.03%$7.0525.56.7This rank
74CoALM-70B27.99%$19.897227.8This rank
75Hammer2.1-1.5b (FC)27.88%$6.83——This rank
76palmyra-x-004 (FC)27.87%$178.15——This rank
77GPT-5-mini-2025-08-07 (Prompt)27.83%$82.74163.8This rank
78Open-Mistral-Nemo-2407 (FC)27.63%$8.12——This rank
79GPT-5-nano-2025-08-07 (Prompt)27.55%$21.478.52.6This rank
80Amazon-Nova-2-Lite-v1:0 (FC)27.10%$78.19——This rank
81Granite-3.1-8B-Instruct (FC)27.10%$9.32——This rank
82Falcon3-10B-Instruct (FC)27.01%$52.59——This rank
83Granite-3.2-8B-Instruct (FC)26.87%$25.02——This rank
84CoALM-8B26.81%$25.337934.2This rank
85Llama-3.1-8B-Instruct (Prompt)25.83%$7.4974.529.1This rank
86MiniCPM3-4B-FC (FC)25.55%$54.05——This rank
87Claude-Haiku-4-5-20251001 (Prompt)25.26%$45.1367.520.1This rank
88Amazon-Nova-Pro-v1:0 (FC)24.97%$48.44——This rank
89Claude-Sonnet-4-5-20250929 (Prompt)24.90%$47.8237.510.1This rank
90GPT-4.1-nano-2025-04-14 (Prompt)24.88%$7.427317.1This rank
91Falcon3-7B-Instruct (FC)24.03%$73.61——This rank
92Qwen3-0.6B (FC)23.93%$0.46——This rank
93Granite-20b-FunctionCalling (FC)23.23%$5.23——This rank
94Qwen3-0.6B (Prompt)22.38%$3.6560.524.4This rank
95Amazon-Nova-Micro-v1:0 (FC)22.29%$1.81——This rank
96RZN-T (Prompt)22.25%$12.3163.525.5This rank
97MiniCPM3-4B (Prompt)22.08%$29.836816.6This rank
98Llama-3.2-3B-Instruct (FC)21.95%$6.2——This rank
99Bielik-11B-v2.3-Instruct (Prompt)21.90%$22.44359.7This rank
100Hammer2.1-0.5b (FC)21.22%$2.82——This rank
101Gemma-3-4b-it (Prompt)19.62%$4.1469.523.7This rank
102Open-Mistral-Nemo-2407 (Prompt)19.31%$13.814.54.6This rank
103Granite-4.0-350m (FC)18.98%$1.44——This rank
104Falcon3-3B-Instruct (FC)16.25%$36.7——This rank
105Ministral-8B-Instruct-2410 (FC)11.10%$70.0100This rank
106Falcon3-1B-Instruct (FC)11.08%$1.72——This rank
107Llama-3.2-1B-Instruct (FC)10.82%$1.64——This rank
108Llama-3.1-Nemotron-Ultra-253B-v1 (FC)10.00%$0.72——This rank
109Gemma-3-1b-it (Prompt)7.17%$3.425.59.8This rank

Why this rank

Moonshotai-Kimi-K2-Instruct (FC) on BFCL Tool-Use Configurations

Snapshot of Apr 13, 2026, 11:59 PM UTC · Link to this snapshot

Some explanation inputs are unavailable. Not published: the evidence frozen with this snapshot, comparable prior ranking.

Ranks exact model-plus-inference configurations by official UC Berkeley BFCL overall accuracy.

11

Rank on this board

59.06 percent

Score

11

Inputs behind the score

100% confidence · 1 of 1 components evidenced

What the score is built from

1 of 1 evidenced

Every component evidenced · 1 evidence record each

Components of Moonshotai-Kimi-K2-Instruct (FC)'s score
ComponentContribution
BFCL overall accuracy59.06

New in this snapshot

No change in rank

no_prior_published_snapshot

No component moved since the previous snapshot.

Where each number comes from

11 public records
  • BFCL evaluation total costBFCL evaluation total cost · observed Apr 13, 2026, 11:59 PM UTC$6.19100% confidence
    Source
    Berkeley Function Calling Leaderboard
    Grade
    A
    Freshness
    fresh
    Locator
    {"csv":"https://gorilla.cs.berkeley.edu/data_overall.csv","repository":"https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard","leaderboard":"https://gorilla.cs.berkeley.edu/leaderboard.html","rowIdentity":"Model","rankingColumn":"Overall Acc"}
    Open the source
  • BFCL irrelevance-detection accuracyBFCL irrelevance detection accuracy · observed Apr 13, 2026, 11:59 PM UTC87.34 percent100% confidence
    Source
    Berkeley Function Calling Leaderboard
    Grade
    A
    Freshness
    fresh
    Locator
    {"csv":"https://gorilla.cs.berkeley.edu/data_overall.csv","repository":"https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard","leaderboard":"https://gorilla.cs.berkeley.edu/leaderboard.html","rowIdentity":"Model","rankingColumn":"Overall Acc"}
    Open the source
  • BFCL mean latencyBFCL latency mean seconds · observed Apr 13, 2026, 11:59 PM UTC6.4 seconds100% confidence
    Source
    Berkeley Function Calling Leaderboard
    Grade
    A
    Freshness
    fresh
    Locator
    {"csv":"https://gorilla.cs.berkeley.edu/data_overall.csv","repository":"https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard","leaderboard":"https://gorilla.cs.berkeley.edu/leaderboard.html","rowIdentity":"Model","rankingColumn":"Overall Acc"}
    Open the source
  • BFCL p95 latencyBFCL latency p95 seconds · observed Apr 13, 2026, 11:59 PM UTC13.78 seconds100% confidence
    Source
    Berkeley Function Calling Leaderboard
    Grade
    A
    Freshness
    fresh
    Locator
    {"csv":"https://gorilla.cs.berkeley.edu/data_overall.csv","repository":"https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard","leaderboard":"https://gorilla.cs.berkeley.edu/leaderboard.html","rowIdentity":"Model","rankingColumn":"Overall Acc"}
    Open the source
  • BFCL live accuracyBFCL live accuracy · observed Apr 13, 2026, 11:59 PM UTC78.68 percent100% confidence
    Source
    Berkeley Function Calling Leaderboard
    Grade
    A
    Freshness
    fresh
    Locator
    {"csv":"https://gorilla.cs.berkeley.edu/data_overall.csv","repository":"https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard","leaderboard":"https://gorilla.cs.berkeley.edu/leaderboard.html","rowIdentity":"Model","rankingColumn":"Overall Acc"}
    Open the source
  • BFCL memory accuracyBFCL memory accuracy · observed Apr 13, 2026, 11:59 PM UTC29.03 percent100% confidence
    Source
    Berkeley Function Calling Leaderboard
    Grade
    A
    Freshness
    fresh
    Locator
    {"csv":"https://gorilla.cs.berkeley.edu/data_overall.csv","repository":"https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard","leaderboard":"https://gorilla.cs.berkeley.edu/leaderboard.html","rowIdentity":"Model","rankingColumn":"Overall Acc"}
    Open the source
  • BFCL multi-turn accuracyBFCL multi turn accuracy · observed Apr 13, 2026, 11:59 PM UTC50.63 percent100% confidence
    Source
    Berkeley Function Calling Leaderboard
    Grade
    A
    Freshness
    fresh
    Locator
    {"csv":"https://gorilla.cs.berkeley.edu/data_overall.csv","repository":"https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard","leaderboard":"https://gorilla.cs.berkeley.edu/leaderboard.html","rowIdentity":"Model","rankingColumn":"Overall Acc"}
    Open the source
  • BFCL non-live AST accuracyBFCL non live ast accuracy · observed Apr 13, 2026, 11:59 PM UTC81.6 percent100% confidence
    Source
    Berkeley Function Calling Leaderboard
    Grade
    A
    Freshness
    fresh
    Locator
    {"csv":"https://gorilla.cs.berkeley.edu/data_overall.csv","repository":"https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard","leaderboard":"https://gorilla.cs.berkeley.edu/leaderboard.html","rowIdentity":"Model","rankingColumn":"Overall Acc"}
    Open the source
  • BFCL overall accuracyBFCL overall accuracy · observed Apr 13, 2026, 11:59 PM UTC59.06 percent100% confidence
    Source
    Berkeley Function Calling Leaderboard
    Grade
    A
    Freshness
    fresh
    Locator
    {"csv":"https://gorilla.cs.berkeley.edu/data_overall.csv","repository":"https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard","leaderboard":"https://gorilla.cs.berkeley.edu/leaderboard.html","rowIdentity":"Model","rankingColumn":"Overall Acc"}
    Open the source
  • BFCL relevance-detection accuracyBFCL relevance detection accuracy · observed Apr 13, 2026, 11:59 PM UTC75 percent100% confidence
    Source
    Berkeley Function Calling Leaderboard
    Grade
    A
    Freshness
    fresh
    Locator
    {"csv":"https://gorilla.cs.berkeley.edu/data_overall.csv","repository":"https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard","leaderboard":"https://gorilla.cs.berkeley.edu/leaderboard.html","rowIdentity":"Model","rankingColumn":"Overall Acc"}
    Open the source
  • BFCL web-search accuracyBFCL web search accuracy · observed Apr 13, 2026, 11:59 PM UTC66.5 percent100% confidence
    Source
    Berkeley Function Calling Leaderboard
    Grade
    A
    Freshness
    fresh
    Locator
    {"csv":"https://gorilla.cs.berkeley.edu/data_overall.csv","repository":"https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard","leaderboard":"https://gorilla.cs.berkeley.edu/leaderboard.html","rowIdentity":"Model","rankingColumn":"Overall Acc"}
    Open the source
BFCL v4 tool-use configuration ranking reviewed 2026-04-13, version bfcl-v4-2026-04-13-official-v1-bfcl-tool-use-configurations-v11,279 observations · 1 source · quality passed
Snapshot
57524365-34d0-45a4-bbfa-4142294a674f
Data hash
fd7246bbd83f6cd45af19278b9c0ca93e6d1a34d38d56f10f93c35e7191b50b2
Method hash
be8373dfcda076297ac4e7e0c7a03a647edcca8bedd8d06fb7a07d005a5326d6

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