reasoning benchmark
SWE-Lancer (IC-Diamond subset) is a benchmark of real-world freelance software engineering tasks from Upwork, ranging from $50 bug fixes to $32,000 feature implementations. It evaluates AI models on independent engineering tasks using end-to-end tests triple-verified by experienced software engineers, and includes managerial tasks where models choose between technical implementation proposals.
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | OP | 100.0% | 100.0% | 6 | C | |
| 2 | OP | 81.4% | 80.0% | 6 | C | |
| 3 | OP | 74.6% | 60.0% | 6 | C | |
| 4 | OP | 17.4% | 40.0% | 6 | C | |
| 5 | OP | 12.4% | 20.0% | 6 | C | |
| 6 | OP | 7.4% | 0.0% | 6 | C |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
SWE-Lancer (IC-Diamond subset) is a benchmark of real-world freelance software engineering tasks from Upwork, ranging from $50 bug fixes to $32,000 feature implementations. It evaluates AI models on independent engineering tasks using end-to-end tests triple-verified by experienced software engineers, and includes managerial tasks where models choose between technical implementation proposals.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about SWE-Lancer (IC-Diamond subset).
GPT-5 is currently ranked first with 100.0%.
SWE-Lancer (IC-Diamond subset) is a benchmark of real-world freelance software engineering tasks from Upwork, ranging from $50 bug fixes to $32,000 feature implementations. It evaluates AI models on independent engineering tasks using end-to-end tests triple-verified by experienced software engineers, and includes managerial tasks where models choose between technical implementation proposals.
Yes. Higher values rank better for this benchmark.
6 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.