# Amazon Nova Experimental Chat 12 10 vs GLM-4.6

> Amazon Nova Experimental Chat 12 10 is the stronger model overall, scoring 42.3 to 40.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-experimental-chat-12-10-vs-glm-4-6
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Amazon Nova Experimental Chat 12 10 scores higher in 2 categories and GLM-4.6 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Amazon Nova Experimental Chat 12 10 leads 28.1 to 23.1.
- GLM-4.6 has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Experimental Chat 12 10 | GLM-4.6 |
|---|---|---|
| Provider | Amazon | Z.ai (Zhipu) |
| Noometry Index | 42.3 | 40.9 |
| Rank | 104 | 132 |
| Context | — | 205K |
| Input $/M | — | $0.60 |
| Output $/M | — | $2.20 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Experimental Chat 12 10: 41.5 (#112)
- GLM-4.6: 39.9 (#137)

| Benchmark | Amazon Nova Experimental Chat 12 10 | GLM-4.6 |
|---|---|---|
| LMArena Coding | 1430 | 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 12 10: —
- GLM-4.6: 32.1 (#60)

| Benchmark | Amazon Nova Experimental Chat 12 10 | GLM-4.6 |
|---|---|---|
| Terminal-Bench | — | 24.5% |
| Berkeley Function Calling Leaderboard | — | 72.4% |

## Reasoning

- Amazon Nova Experimental Chat 12 10: 28.1 (#93)
- GLM-4.6: 23.1 (#168)

| Benchmark | Amazon Nova Experimental Chat 12 10 | GLM-4.6 |
|---|---|---|
| LMArena Hard Prompts | 1427 | 1440 |
| Kagi LLM Benchmark | — | 47.4% |
| CritPt | — | 1.1% |

## Math

- Amazon Nova Experimental Chat 12 10: 36.1 (#130)
- GLM-4.6: 36.4 (#115)

| Benchmark | Amazon Nova Experimental Chat 12 10 | GLM-4.6 |
|---|---|---|
| LMArena Math | 1418 | 1431 |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- Amazon Nova Experimental Chat 12 10: 38.6 (#133)
- GLM-4.6: 39.6 (#118)

| Benchmark | Amazon Nova Experimental Chat 12 10 | GLM-4.6 |
|---|---|---|
| LMArena Expert | 1409 | 1432 |
| Vectara Hallucination Rate | — | 9.5% |

## Multilingual

- Amazon Nova Experimental Chat 12 10: 51.7 (#103)
- GLM-4.6: 53.6 (#62)

| Benchmark | Amazon Nova Experimental Chat 12 10 | GLM-4.6 |
|---|---|---|
| LMArena Non-English | 1399 | 1426 |
| LMArena Chinese | 1440 | 1500 |
| LMArena Russian | 1397 | 1418 |
| LMArena French | — | 1459 |
| LMArena German | — | 1447 |
| LMArena Japanese | — | 1394 |
| LMArena Korean | — | 1401 |
| LMArena Spanish | — | 1436 |

## Instruction Following

- Amazon Nova Experimental Chat 12 10: 73.4 (#117)
- GLM-4.6: 74.5 (#93)

| Benchmark | Amazon Nova Experimental Chat 12 10 | GLM-4.6 |
|---|---|---|
| LMArena Instruction Following | 1387 | 1410 |

## Long Context

- Amazon Nova Experimental Chat 12 10: 42.4 (#120)
- GLM-4.6: 43.4 (#91)

| Benchmark | Amazon Nova Experimental Chat 12 10 | GLM-4.6 |
|---|---|---|
| LMArena Longer Query | 1391 | 1423 |

## Writing & Preference

- Amazon Nova Experimental Chat 12 10: 59.7 (#104)
- GLM-4.6: 61.3 (#86)

| Benchmark | Amazon Nova Experimental Chat 12 10 | GLM-4.6 |
|---|---|---|
| LMArena Text | 1420 | 1440 |
| LMArena Creative Writing | 1351 | 1411 |
| LMArena Multi-Turn | 1409 | 1427 |
| EQ-Bench Creative Writing | — | 1411 |

## FAQ

### Is Amazon Nova Experimental Chat 12 10 better than GLM-4.6?

Amazon Nova Experimental Chat 12 10 is the stronger model overall, scoring 42.3 to 40.9 on the Noometry Index.

### Is Amazon Nova Experimental Chat 12 10 or GLM-4.6 better for coding?

Amazon Nova Experimental Chat 12 10 scores higher on coding benchmarks: 41.5 versus 39.9 in the Noometry coding category.

### How many benchmarks do Amazon Nova Experimental Chat 12 10 and GLM-4.6 share?

12 benchmarks have published results for both models. Amazon Nova Experimental Chat 12 10 has 12 scored results on Noometry and GLM-4.6 has 29.