Nexus
Models write function calls for queries over real-world APIs, including nested and parallel calls. Scoring is the function calling success rate.
Nexusflow released 8 of its 9 tasks and kept one internal to limit overfitting.
- Level
- University Undergraduates and entry-level professionals
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Code A program or patch run against tests.
Llama 3.1-405B leads with 58.7% among models released by Jul 2024
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.
The newest model with a score here came out in Jul 2024, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 1
Llama 3.1-405B 58.7%
- 2
Llama 3.1-70B 56.7%
- 3
Llama 3.1-8B 38.5%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 58.7% | Jul 2024 | Model card | |
| 2 | | 56.7% | Jul 2024 | Model card | |
| 3 | | 38.5% | Jul 2024 | Model card |
The benchmark's own leaderboard has 3 entries, 1 of them models we track. We plot every source in the charts below.
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No launch post has listed it since Jul 2024
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 |
|---|---|---|---|
| 23 Jul 2024 | 58.7 | Nexus |
6 system cards report it, from 1 lab
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 |
|---|---|---|---|---|
| 23 Nov 2024 | | 38.5 | Nexus, post-trained (Table 2, Table 22) | Capabilities |
| 23 Nov 2024 | | 56.7 | Nexus, post-trained (Table 2, Table 22) | Capabilities |
| 23 Nov 2024 | | 58.7 | Nexus, post-trained (Table 2, Table 22) | Capabilities |
| 23 Jul 2024 | | 38.5 | Nexus (0-shot), macro_avg/acc, instruction tuned (Instruction tuned models table) | Capabilities |
| 23 Jul 2024 | | 56.7 | Nexus (0-shot), macro_avg/acc, instruction tuned (Instruction tuned models table) | Capabilities |
| 23 Jul 2024 | | 58.7 | Nexus (0-shot), macro_avg/acc, instruction tuned (Instruction tuned models table) | Capabilities |
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