AI benchmarks and leaderboards are different things
Learn the difference between a benchmark, an evaluation run and a leaderboard, and use each to answer the right question.
Model reports
APEX-Agents
Expert-authored professional tasks with rubric grading; graders are LLMs.
Evaluation context and evidence
- Source
- Model reports
- Publisher
- Not recorded
- Benchmark release
- 2026-01-20
- Collected
- Not recorded
- Modality
- Not recorded
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 5
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| DeepSeek-V4-Pro | 38.3 | percent | think max, pass@1 | 2026-04-22 · document_publication | DeepSeek-V4-Pro |
| DeepSeek-V4-Flash | 33.0 | percent | think max, pass@1 | 2026-06-25 · document_publication | DeepSeek-V4 |
| Gemini 3.1 Pro | 33.5 | percent | Thinking (High) | 2026-02-19 · document_publication | Gemini 3.1 Pro |
| Kimi K3 | 41.0 | percent | reasoning=max | 2026-06-13 · document_publication | Kimi K3 |
| Hy4 preview | 37.1 | percent | as printed in the report's benchmark table | 2026-08-28 · document_publication | Hy4 preview |