# GLM-4.6 vs Llama 3.2 90B

> GLM-4.6 is the stronger model overall, scoring 40.9 to 27.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-4-6-vs-llama-3-2-90b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in math, where GLM-4.6 leads 36.4 to 10.4.

## Snapshot

| | GLM-4.6 | Llama 3.2 90B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 40.9 | 27.1 |
| Rank | 132 | 326 |
| Context | 205K | — |
| Input $/M | $0.60 | — |
| Output $/M | $2.20 | — |
| Weights | Open | Open |

## Coding

- GLM-4.6: 39.9 (#137)
- Llama 3.2 90B: —

| Benchmark | GLM-4.6 | Llama 3.2 90B |
|---|---|---|
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1339 | — |
| SciCode | 38.4% | — |
| LMArena Coding | 1449 | — |
| ALE-Bench | 340.82 | — |

## Agentic & Tool Use

- GLM-4.6: 32.1 (#60)
- Llama 3.2 90B: 29.7 (#73)

| Benchmark | GLM-4.6 | Llama 3.2 90B |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |
| BALROG | — | 27.3% |

## Reasoning

- GLM-4.6: 23.1 (#168)
- Llama 3.2 90B: 20.9 (#207)

| Benchmark | GLM-4.6 | Llama 3.2 90B |
|---|---|---|
| Kagi LLM Benchmark | 47.4% | — |
| CritPt | 1.1% | — |
| EnigmaEval | — | 0.4% |
| LMArena Hard Prompts | 1440 | — |
| Epoch Capabilities Index | — | 125.5 |

## Math

- GLM-4.6: 36.4 (#115)
- Llama 3.2 90B: 10.4 (#302)

| Benchmark | GLM-4.6 | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.6% |
| LMArena Math | 1431 | — |
| MATH Level 5 | — | 39.4% |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GLM-4.6: 39.6 (#118)
- Llama 3.2 90B: 21.7 (#269)

| Benchmark | GLM-4.6 | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | — | 41% |
| Vectara Hallucination Rate | 9.5% | — |
| LMArena Expert | 1432 | — |
| MMLU | — | 80.3% |

## Multimodal

- GLM-4.6: —
- Llama 3.2 90B: 24.9 (#119)

| Benchmark | GLM-4.6 | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | — | 1000 |
| GeoBench | — | 52% |

## Multilingual

- GLM-4.6: 53.6 (#62)
- Llama 3.2 90B: —

| Benchmark | GLM-4.6 | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1426 | — |
| LMArena Chinese | 1500 | — |
| LMArena French | 1459 | — |
| LMArena German | 1447 | — |
| LMArena Japanese | 1394 | — |
| LMArena Korean | 1401 | — |
| LMArena Russian | 1418 | — |
| LMArena Spanish | 1436 | — |

## Instruction Following

- GLM-4.6: 74.5 (#93)
- Llama 3.2 90B: —

| Benchmark | GLM-4.6 | Llama 3.2 90B |
|---|---|---|
| LMArena Instruction Following | 1410 | — |

## Long Context

- GLM-4.6: 43.4 (#91)
- Llama 3.2 90B: —

| Benchmark | GLM-4.6 | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 1423 | — |

## Writing & Preference

- GLM-4.6: 61.3 (#86)
- Llama 3.2 90B: —

| Benchmark | GLM-4.6 | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1440 | — |
| LMArena Creative Writing | 1411 | — |
| EQ-Bench Creative Writing | 1411 | — |
| LMArena Multi-Turn | 1427 | — |

## FAQ

### Is GLM-4.6 better than Llama 3.2 90B?

GLM-4.6 is the stronger model overall, scoring 40.9 to 27.1 on the Noometry Index.

### How many benchmarks do GLM-4.6 and Llama 3.2 90B share?

0 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Llama 3.2 90B has 9.