# GLM-5 vs Ring-2.6-1T

> GLM-5 has enough public results to be ranked (#66); Ring-2.6-1T does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/glm-5-vs-ring-2-6-1t
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GLM-5 scores higher in 2 categories and Ring-2.6-1T in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-5 leads 49.0 to 40.7.

## Snapshot

| | GLM-5 | Ring-2.6-1T |
|---|---|---|
| Provider | Z.ai (Zhipu) | Ant Group (inclusionAI) |
| Noometry Index | 46.1 | 36.9 |
| Rank | 66 | — |
| Context | 205K | — |
| Input $/M | $1 | — |
| Output $/M | $3.20 | — |
| Weights | Open | Open |

## Coding

- GLM-5: 49.0 (#52)
- Ring-2.6-1T: 40.7

| Benchmark | GLM-5 | Ring-2.6-1T |
|---|---|---|
| ALE-Bench | 765.62 | 432.57 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1434 | — |
| SWE-bench Multilingual | 69.7% | — |
| SciCode | — | 42.4% |
| WeirdML | 48.2% | — |
| LMArena Coding | 1461 | — |

## Agentic & Tool Use

- GLM-5: 31.1 (#71)
- Ring-2.6-1T: —

| Benchmark | GLM-5 | Ring-2.6-1T |
|---|---|---|
| Terminal-Bench | 52.4% | — |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 73.7% | — |
| τ²-bench Telecom | 86.8% | — |
| Vending-Bench 2 | 4,432 | — |

## Reasoning

- GLM-5: 27.6 (#116)
- Ring-2.6-1T: 26.1

| Benchmark | GLM-5 | Ring-2.6-1T |
|---|---|---|
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | 74.8% | — |
| ARC-AGI-1 | 44.7% | — |
| CritPt | — | 3.7% |
| Chess Puzzles | 10% | — |
| LMArena Hard Prompts | 1452 | — |
| Epoch Capabilities Index | 145.83 | — |
| ForecastBench | 61 | — |

## Math

- GLM-5: 46.4 (#71)
- Ring-2.6-1T: —

| Benchmark | GLM-5 | Ring-2.6-1T |
|---|---|---|
| MathArena Final-Answer Competitions | 65.7% | — |
| OTIS Mock AIME 2024-2025 | 80% | — |
| LMArena Math | 1440 | — |
| FrontierMath (Feb 2025 set) | 16.4% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-5: 52.3 (#64)
- Ring-2.6-1T: —

| Benchmark | GLM-5 | Ring-2.6-1T |
|---|---|---|
| GPQA Diamond | 87.8% | — |
| Vectara Hallucination Rate | 10.1% | — |
| LMArena Expert | 1454 | — |

## Multilingual

- GLM-5: 53.7 (#58)
- Ring-2.6-1T: —

| Benchmark | GLM-5 | Ring-2.6-1T |
|---|---|---|
| LMArena Non-English | 1430 | — |
| LMArena Chinese | 1511 | — |
| LMArena French | 1455 | — |
| LMArena German | 1445 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1423 | — |
| LMArena Russian | 1436 | — |
| LMArena Spanish | 1454 | — |

## Instruction Following

- GLM-5: 75.2 (#67)
- Ring-2.6-1T: —

| Benchmark | GLM-5 | Ring-2.6-1T |
|---|---|---|
| LMArena Instruction Following | 1428 | — |

## Long Context

- GLM-5: 44.7 (#60)
- Ring-2.6-1T: —

| Benchmark | GLM-5 | Ring-2.6-1T |
|---|---|---|
| CL-bench | 18.7% | — |
| LMArena Longer Query | 1446 | — |

## Writing & Preference

- GLM-5: 66.0 (#38)
- Ring-2.6-1T: —

| Benchmark | GLM-5 | Ring-2.6-1T |
|---|---|---|
| LMArena Text | 1446 | — |
| LMArena Creative Writing | 1439 | — |
| EQ-Bench Creative Writing | 1601 | — |
| LMArena Multi-Turn | 1456 | — |

## FAQ

### Is GLM-5 better than Ring-2.6-1T?

GLM-5 has enough public results to be ranked (#66); Ring-2.6-1T does not yet, so treat this comparison as directional.

### Is GLM-5 or Ring-2.6-1T better for coding?

GLM-5 scores higher on coding benchmarks: 49.0 versus 40.7 in the Noometry coding category.

### How many benchmarks do GLM-5 and Ring-2.6-1T share?

1 benchmark has published results for both models. GLM-5 has 45 scored results on Noometry and Ring-2.6-1T has 3.