# ERNIE 5.0 0110 vs GLM-4.6

> ERNIE 5.0 0110 and GLM-4.6 score almost the same on the Noometry Index (41.2 vs 40.9), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/ernie-5-0-vs-glm-4-6
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 5 categories and GLM-4.6 in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.6 leads 23.1 to 16.3.
- GLM-4.6 has downloadable open weights; the other is API-only.

## Snapshot

| | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| Provider | Baidu | Z.ai (Zhipu) |
| Noometry Index | 41.2 | 40.9 |
| Rank | 129 | 132 |
| Context | — | 205K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Proprietary | Open |

## Coding

- ERNIE 5.0 0110: 42.3 (#94)
- GLM-4.6: 39.9 (#137)

| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1455 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1339 |
| SciCode | — | 38.4% |
| ALE-Bench | — | 340.82 |

## Agentic & Tool Use

- ERNIE 5.0 0110: —
- GLM-4.6: 32.1 (#60)

| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |

## Reasoning

- ERNIE 5.0 0110: 16.3 (#296)
- GLM-4.6: 23.1 (#168)

| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1446 | 1440 |
| Kagi LLM Benchmark | — | 47.4% |
| NYT Connections (extended) | 10.3% | — |
| CritPt | — | 1.1% |
| Thematic Generalization | 41.7% | — |

## Math

- ERNIE 5.0 0110: 36.5 (#111)
- GLM-4.6: 36.4 (#115)

| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Math | 1437 | 1431 |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- ERNIE 5.0 0110: 39.2 (#125)
- GLM-4.6: 39.6 (#118)

| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Expert | 1427 | 1432 |
| Vectara Hallucination Rate | — | 9.5% |

## Multimodal

- ERNIE 5.0 0110: 39.1 (#49)
- GLM-4.6: —

| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Vision | 1248 | — |

## Multilingual

- ERNIE 5.0 0110: 54.3 (#47)
- GLM-4.6: 53.6 (#62)

| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1436 | 1426 |
| LMArena Chinese | 1512 | 1500 |
| LMArena French | 1466 | 1459 |
| LMArena German | 1462 | 1447 |
| LMArena Japanese | 1383 | 1394 |
| LMArena Korean | 1406 | 1401 |
| LMArena Russian | 1446 | 1418 |
| LMArena Spanish | 1473 | 1436 |

## Instruction Following

- ERNIE 5.0 0110: 74.7 (#88)
- GLM-4.6: 74.5 (#93)

| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1413 | 1410 |

## Long Context

- ERNIE 5.0 0110: 43.4 (#90)
- GLM-4.6: 43.4 (#91)

| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1422 | 1423 |

## Writing & Preference

- ERNIE 5.0 0110: 63.4 (#64)
- GLM-4.6: 61.3 (#86)

| Benchmark | ERNIE 5.0 0110 | GLM-4.6 |
|---|---|---|
| LMArena Text | 1445 | 1440 |
| LMArena Creative Writing | 1426 | 1411 |
| LMArena Multi-Turn | 1433 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |

## FAQ

### Is ERNIE 5.0 0110 better than GLM-4.6?

ERNIE 5.0 0110 and GLM-4.6 score almost the same on the Noometry Index (41.2 vs 40.9), so choose on price, context window or the category you care about most.

### Is ERNIE 5.0 0110 or GLM-4.6 better for coding?

ERNIE 5.0 0110 scores higher on coding benchmarks: 42.3 versus 39.9 in the Noometry coding category.

### How many benchmarks do ERNIE 5.0 0110 and GLM-4.6 share?

17 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and GLM-4.6 has 29.