| Paper | Code | Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|
| DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence | ✓ Link | 84.4 | DeepSeek-V4-Pro Max | 2026-04-26 |
| Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale | ✓ Link | 76.53 | Ling-2.6-1T | 2026-06-13 |
| MiniMax-01: Scaling Foundation Models with Lightning Attention | ✓ Link | 67.4 | MiniMax-Text-01 | 2025-01-14 |
| DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning | ✓ Link | 66.4 | DeepSeek-R1-Zero | 2025-01-22 |
| DeepSeek-V3 Technical Report | ✓ Link | 64.8 | DeepSeek-V3 | 2024-12-27 |
| Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale | ✓ Link | 60.23 | Ling-2.6-flash | 2026-06-13 |
| dots.llm1 Technical Report | ✓ Link | 56.7 | dots.llm1.inst | 2025-06-06 |