Code translation benchmark between C++, Java, and Python using 852 GeeksForGeeks programming problems. Each function has correct implementations in all three languages. Primary metric is Computational Accuracy (CA) — translated code must pass all unit tests.
7 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.
| # | Model | Org | Submitted | Paper / code | computational-accuracy |
|---|---|---|---|---|---|
| 01 | Claude Sonnet 4API | Anthropic | Mar 2026 | official-model-card | 89.40 |
| 02 | GPT-4oAPI | OpenAI | Jun 2024 | DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source… · code | 88.20 |
| 03 | Qwen2.5-Coder 32BOSS | Alibaba | Sep 2024 | Qwen2.5-Coder Technical Report · code | 86.30 |
| 04 | DeepSeek-Coder-V2-InstructOSS | DeepSeek | Jun 2024 | DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source… · code | 84.60 |
| 05 | StarCoder2 15BOSS | BigCode | Feb 2024 | StarCoder2 and The Stack v2: The Next Generation · code | 78.40 |
| 06 | CodeT5+OSS | Salesforce | May 2023 | CodeT5+: Open Code Large Language Models for Code Unders… · code | 72.10 |
| 07 | TransCoderOSS | Meta | Jun 2020 | Unsupervised Translation of Programming Languages · code | 68.70 |
Each row below marks a model that broke the previous record on computational-accuracy. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.
Higher scores win. Each subsequent entry improved upon the previous best.
Every paper below corresponds to at least one row in the leaderboard above. Click through for the arXiv preprint and, when available, the reference implementation.
Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.