NUWA Evidence record
Claude Opus 4.5 (OpenCode)
PostTrainBench and OpenAI PostTrainBench Lite · Evidence record
Original source charts and materials
Reported results
Source order · reported configurations
Select systems
Weighted average performance
0–100
Claude Opus 4.5 (OpenCode)Values describe the measured outcome under the source protocol, not a general safety score.
Table 1: weighted average performance. Native CLI frontier agents have 3 independent runs (± one standard deviation); other configurations have one run. Baselines and scaffolds differ. Evaluation date not specified; publication / record dates are shown below.
Evaluation conditions and system configurations
- Claude Opus 4.5 (OpenCode)
- See the source protocol; no independent trial count inferred. · Table 1 · PostTrainBench and OpenAI PostTrainBench Lite
- modelVersion: not specified · harness: not specified · tools: not specified · budget: not specified
| System / configuration | Weighted average performance | Publication / verification |
|---|---|---|
| Claude Opus 4.5 (OpenCode)Harness not specified | 17.3 | Source checked2026-10-25 |
Method and scope
Tests whether agents can improve base models through post-training under a fixed compute budget.
- Evidence type
- Benchmark
- Assessment subject
- Model or agent system under the original task configuration
- Primary dimension
- Capability
- Evidence snapshot
- 2026-10-29.1
The main dimension follows the task outcome in the original protocol. Topic relevance is documented in the parent research record; no unreviewed question-level links are inferred.
Source finding
Source-reported measurements for Claude Opus 4.5 (OpenCode) in Table 1; values are transcribed, not independently reproduced.
Limitations
Targeted benchmark gains, test contamination and unauthorized shortcuts require separate checks.
Configuration, task and aggregation differences remain as reported. Source order is retained. Transcription is not independent replication; no cross-protocol ranking is supported.
Related research questions
References
Numerical results are reported by the cited authors.
- [1] Ben Rank ∗, Hardik Bhatnagar ∗, et al.. PostTrainBench: Can LLM Agents Automate LLM Post-Training?. 2026-03-09. v2 [arXiv]; Author affiliations on the original paper title page; Table 1