# Amazon Nova Experimental Chat 11 10 vs GLM-4.6

> Amazon Nova Experimental Chat 11 10 is the stronger model overall, scoring 42.4 to 40.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-experimental-chat-11-10-vs-glm-4-6
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Amazon Nova Experimental Chat 11 10 scores higher in 2 categories and GLM-4.6 in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Amazon Nova Experimental Chat 11 10 leads 27.9 to 23.1.
- GLM-4.6 has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Experimental Chat 11 10 | GLM-4.6 |
|---|---|---|
| Provider | Amazon | Z.ai (Zhipu) |
| Noometry Index | 42.4 | 40.9 |
| Rank | 101 | 132 |
| Context | — | 205K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Experimental Chat 11 10: 41.6 (#109)
- GLM-4.6: 39.9 (#137)

| Benchmark | Amazon Nova Experimental Chat 11 10 | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1433 | 1449 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1339 |
| SciCode | — | 38.4% |
| ALE-Bench | — | 340.82 |

## Agentic & Tool Use

- Amazon Nova Experimental Chat 11 10: —
- GLM-4.6: 32.1 (#60)

| Benchmark | Amazon Nova Experimental Chat 11 10 | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |

## Reasoning

- Amazon Nova Experimental Chat 11 10: 27.9 (#94)
- GLM-4.6: 23.1 (#168)

| Benchmark | Amazon Nova Experimental Chat 11 10 | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1440 |
| Kagi LLM Benchmark | — | 47.4% |
| CritPt | — | 1.1% |

## Math

- Amazon Nova Experimental Chat 11 10: 36.4 (#116)
- GLM-4.6: 36.4 (#115)

| Benchmark | Amazon Nova Experimental Chat 11 10 | GLM-4.6 |
|---|---|---|
| LMArena Math | 1431 | 1431 |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- Amazon Nova Experimental Chat 11 10: 39.3 (#122)
- GLM-4.6: 39.6 (#118)

| Benchmark | Amazon Nova Experimental Chat 11 10 | GLM-4.6 |
|---|---|---|
| LMArena Expert | 1432 | 1432 |
| Vectara Hallucination Rate | — | 9.5% |

## Multilingual

- Amazon Nova Experimental Chat 11 10: 52.1 (#91)
- GLM-4.6: 53.6 (#62)

| Benchmark | Amazon Nova Experimental Chat 11 10 | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1405 | 1426 |
| LMArena Chinese | 1463 | 1500 |
| LMArena French | 1449 | 1459 |
| LMArena German | 1396 | 1447 |
| LMArena Japanese | 1383 | 1394 |
| LMArena Korean | 1387 | 1401 |
| LMArena Russian | 1395 | 1418 |
| LMArena Spanish | 1444 | 1436 |

## Instruction Following

- Amazon Nova Experimental Chat 11 10: 73.4 (#118)
- GLM-4.6: 74.5 (#93)

| Benchmark | Amazon Nova Experimental Chat 11 10 | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1387 | 1410 |

## Long Context

- Amazon Nova Experimental Chat 11 10: 42.5 (#116)
- GLM-4.6: 43.4 (#91)

| Benchmark | Amazon Nova Experimental Chat 11 10 | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1395 | 1423 |

## Writing & Preference

- Amazon Nova Experimental Chat 11 10: 59.0 (#109)
- GLM-4.6: 61.3 (#86)

| Benchmark | Amazon Nova Experimental Chat 11 10 | GLM-4.6 |
|---|---|---|
| LMArena Text | 1415 | 1440 |
| LMArena Creative Writing | 1349 | 1411 |
| LMArena Multi-Turn | 1380 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |

## FAQ

### Is Amazon Nova Experimental Chat 11 10 better than GLM-4.6?

Amazon Nova Experimental Chat 11 10 is the stronger model overall, scoring 42.4 to 40.9 on the Noometry Index.

### Is Amazon Nova Experimental Chat 11 10 or GLM-4.6 better for coding?

Amazon Nova Experimental Chat 11 10 scores higher on coding benchmarks: 41.6 versus 39.9 in the Noometry coding category.

### How many benchmarks do Amazon Nova Experimental Chat 11 10 and GLM-4.6 share?

17 benchmarks have published results for both models. Amazon Nova Experimental Chat 11 10 has 17 scored results on Noometry and GLM-4.6 has 29.