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A head-to-head benchmark comparison of Ling-1T across 25 evaluations.
Ling-1T is the first flagship non-thinking model in the Ling 2.0 series, featuring 1 trillion total parameters with ≈ 50 billion active parameters per token. Bu.
Full Ling-1T specs →| Benchmark | Ling-1T |
|---|---|
| code | |
| Codeforces Elo | 1,901 |
| FullStackBench | 56.55% |
| LiveCodeBench | 61.68% |
| MBPP | 96.87% |
| coding | |
| Aider Benchmark | 83.65 |
| MultiPL-E | 77.91 |
| general | |
| ArenaHard v2 | 75.83 |
| C-Eval | 92.19% |
| IFEval | 86.11% |
| MMLU-Pro | 82.04% |
| MMLU-Redux | 92.25% |
| MultiChallenge | 58.24% |
| math | |
| AIME 2024 | 80.21% |
| AIME 2025 | 70.42% |
| CNMO 2024 | 79.25% |
| HMMT February 2025 | 47.08% |
| Omni-MATH | 74.46 |
| UGMathBench | 74.95 |
| reasoning | |
| ARC-AGI-1 | 43.81 |
| BBEH | 47.34 |
| FinanceReasoning | 87.45 |
| GPQA Diamond | 72.98% |
| Humanity's Last Exam | 7.6% |
| ZebraLogic | 90.8% |
| tool-use | |
| BFCL v3 | 69.64% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Ling-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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