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.
LLM Stats
SWE-Lancer (IC-Diamond subset)
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.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
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 6
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| GPT-5 | 1.0 | Not recorded | Not recorded | 2025-08-07 · model_announcement | LLM Stats |
| GPT-5.3 Codex | 0.814 | Not recorded | Not recorded | 2026-02-05 · model_announcement | LLM Stats |
| GPT-5.2 | 0.746 | Not recorded | Not recorded | 2025-12-11 · model_announcement | LLM Stats |
| GPT-4.5 | 0.174 | Not recorded | Not recorded | 2025-02-27 · model_announcement | LLM Stats |
| GPT-4o | 0.124 | Not recorded | Not recorded | 2024-08-06 · model_announcement | LLM Stats |
| o3-mini | 0.074 | Not recorded | Not recorded | 2025-01-30 · model_announcement | LLM Stats |