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A head-to-head benchmark comparison of Ring-1T across 25 evaluations.
Today, we officially launch the trillion-parameter thinking model, Ring-1T. It is open-source upon release—developers can download the model weights from Huggin.
Full Ring-1T specs →| Benchmark | Ring-1T |
|---|---|
| code | |
| Codeforces Elo | 2,088 |
| LiveCodeBench v6 | 78.3% |
| coding | |
| Aider Benchmark | 78.57 |
| general | |
| ArenaHard v2 | 81.59 |
| C-Eval | 91.53% |
| IFEval | 85.21% |
| MMLU-Pro | 80.54% |
| MultiChallenge | 50.92% |
| knowledge | |
| AGIEval | 88.13 |
| CMMLU | 89.14 |
| TriviaQA | 78.59 |
| math | |
| AIME 2025 | 93.4% |
| CNMO 2024 | 88.54% |
| HMMT February 2025 | 86.72% |
| Omni-MATH | 82.63 |
| UGMathBench | 76.47 |
| reasoning | |
| ARC-AGI-1 | 55.94 |
| BBEH | 59.63 |
| FinanceReasoning | 87.42 |
| GPQA Diamond | 78.63% |
| Humanity's Last Exam | 16.03% |
| ZebraLogic | 95.15% |
| safety | |
| HealthBench | 57.93% |
| science | |
| PhyBench | 42.65 |
| tool-use | |
| BFCL v3 | 68.82% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Ring-1T has the strongest result on Codeforces Elo among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 25 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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