Ring-2.6-1T model card (Hugging Face) 14 May 2026
- PinchBench (high) 87.6
- ClawEval (high) 63.8
- Tau2-Bench Telecom scenario only (high) 95.3
- ARC-AGI-V2 (xhigh) 66.2
- AIME 26 (xhigh) 95.8
- GPQA Diamond (xhigh) 88.3
Ring-2.6-1T places in the top three on Claw-Eval Pass^3.
Open weights
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| GPQA Diamond | 88.3% | #46 of 284 | Model card | |
| AIME 2026 | 95.8% | #7 of 34 | Model card | |
| IMO-AnswerBench | 86.1% | #10 of 37 | Model card | |
| HMMT 2026 | 93.5% | #6 of 18 | Model card | |
| ARC-AGI-2 | 66.2% | #9 of 22 | Model card | |
| CritPt | 3.71% | #74 of 160 | Epoch AI |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveCodeBench v6 | 87% | #16 of 76 | Model card | |
| SWE-bench Verified | 74% | #52 of 150 | Model card | |
| SWE-Bench Pro | 53.8% | #54 of 77 | Model card | |
| ALE-Bench | 433 | #103 of 121 | Epoch AI |
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| tau2-bench | 95.3% | #6 of 69 | Model card | |
| Claw-Eval Pass^3 | 63.8% | #3 of 11 | Model card | |
| Meta Agents Research Environments (ARE) / Gaia2 | 77.9% | #1 of 3 | Model card | |
| PinchBench | 87.6% | #7 of 13 | Model card | |
| SnakeBench | 23 | #103 of 183 | Official leaderboard | |
| Claw-Eval | 63.8% | #9 of 14 | Model card |
The benchmarks the lab chose to headline, with the scores it gave.
Every result in the longer documents the lab published with it. 7 of them aren't in the launch post.